Abrahamson, L. (2006). A brief history of networked classrooms: Effects, cases, pedagogy, and implications. In D.A. Banks (Ed.), Audience Response Systems in Higher Education (pp. 1–25). Hershey, PA: Information Science.
Ackerman, P.L. (1988). Determinants of individual differences during skill acquisition: Cognitive abilities and information processing. Journal of Experimental Psychology: General, 117(3), 288–318.
Ackerman, P.L. (1996). A theory of adult intellectual development: Process, personality, interests, and knowledge. Intelligence, 22(2), 227–257. doi.org/10.1016/S0160-2896(96)90016-1.
Ackerman, P.L. (2000). Domain-specific knowledge as the “dark matter” of adult intelligence: Gf/Gc, personality and interest correlates. Journals of Gerontology: Series B: Psychological Sciences and Social Sciences, 55(2), P69–P84.
Ackerman, P.L., and Beier, M.E. (2006). Determinants of domain knowledge and independent study learning in an adult sample. Journal of Educational Psychology, 98(2), 366–381.
Ackerman, P.L., Bowen, K.R., Beier, M.B., and Kanfer, R. (2001). Determinants of individual differences and gender differences in knowledge. Journal of Educational Psychology, 93, 797–825.
Ackerman, P.L., Kanfer, R., and Beier, M.E. (2013). Trait complex, cognitive ability, and domain knowledge predictors of baccalaureate success, STEM persistence, and gender differences. Journal of Educational Psychology, 105(3), 911–927. doi.org/10.1037/a0032338.
Ackerman, R., and Goldsmith, M. (2011). Metacognitive regulation of text learning: On screen versus on paper. Journal of Experimental Psychology: Applied, 17(1), 18–32. doi:10.1037/a0022086.
Adams, C., Labouvie-Vief, G., Hobart, C.J., and Dorosz, M. (1990). Adult age group differences in story recall style. Journal of Gerontology, 45(1), P17–P27.
Ader, R., Felten, D.L., and Cohen, N. (2001). Psychoneuroimmunology (3rd ed.). San Diego, CA: Academic Press.
Ainley, M., Hidi, S., and Berndorff, D. (2002). Interest, learning, and the psychological processes that mediate their relationship. Journal of Educational Psychology, 94(3), 545–561. doi.org/10.1037/0022-0622.214.171.1245.
Albaili, M. (1998). Goal orientations, cognitive strategies and academic achievement among United Arab Emirates college students. Educational Psychology, 18(2), 195–203. doi.org/10.1080/0144341980180205.
Alea, N., and Wang, Q. (2015). Going global: The functions of autobiographical memory in cultural context. Memory, 23(1), 1–10.
Alea, N., Bluck, S., and Ali, S. (2015). Function in context: Why American and Trinidadian young and older adults remember the personal past. Memory, 23(1), 55–68.
Aleven, V., and Koedinger, K.R. (2002). An effective metacognitive strategy: Learning by doing and explaining with a computer-based Cognitive Tutor. Cognitive Science, 26(2), 147–179. doi:10.1016/s0364-0213(02)00061-7.
Alexander, P.A., and Jetton, T.L. (1996). The role of importance and interest in the processing of text. Educational Psychology Review, 8(1), 89–121. doi:10.1007/BF01761832.
Alexander, V., Bahr, M., and Hicks, R. (2015). Ability to recall specific detail and general detail (gist) in young old, middle old, and older adults. Psychology, 6(16), 2071–2080.
Alfieri, L., Brooks, P.J., Aldrich, N.J., and Tenenbaum, H.R. (2011). Does discovery-based instruction enhance learning? Journal of Educational Psychology, 103(1), 1–18. doi:10.1037/a0021017.
Alfieri, L., Nokes-Malach, T.J., and Schunn, C.D. (2013). Learning through case comparisons. Educational Psychologist, 48, 87–113.
Allen, L.K., Snow, E.L., and McNamara, D.S. (2016). The narrative waltz: The role of flexibility on writing performance. Journal of Educational Psychology, 108(7), 911–924. doi.org/10.1037/edu0000109.
Alliger, G.M., and Janak, E.A. (1989). Kirkpatrick’s levels of training criteria: Thirty years later. Personnel Psychology, 42(2), 331–342. doi.org/10.1111/j.1744-6570.1989.tb00661.x.
Alloway, T.P., and Gathercole, S.E. (2006). How does working memory work in the classroom? Educational Research and Reviews, 1(4), 134–139.
Alloway, T.P., Gathercole, S.E., Kirkwood, H.J., and Elliott, J.E. (2009). The cognitive and behavioural characteristics of children with low working memory. Child Development, 80(2), 606–621. doi:10.1111/j.1467-8624.2009.01282.x.
Altschul, I., Oyserman, D., and Bybee, D. (2006). Racial–ethnic identity in mid-adolescence: Content and change as predictors of academic achievement. Child Development, 77(5), 1155–1169.
Amalric, M., and Dehaene, S. (2016). Origins of the brain networks for advanced mathematics in expert mathematicians. Proceedings of the National Academy of Sciences of the United States of America, 113(18), 4909–4917. doi:10.1073/pnas.1603205113.
Ambady, N., and Bharucha, J. (2009). Culture and the brain. Current Directions in Psychological Science, 18(6), 342–345. doi:10.1111/j.1467-8721.2009.01664.x.
Amedi, A., Stern, W.M., Camprodon, J.A., Bermpohl, F., Merabet, L., Rotman, S., Hermond, C., Meijer, P., and Pascual-Leone, A. (2007). Shape conveyed by visual-to-auditory sensory substitution activates the lateral occipital complex. Nature Neuroscience, 10(6), 687-689. doi:10.1038/nn1912.
American Academy of Pediatrics. (1999). Media education. Pediatrics, 104(2), 341–343.
American Academy of Pediatrics. (2015). Media and Children. Elk Grove Village, IL: Author.
American Academy of Pediatrics. (2016). New recommendations for children’s electronic media use. ScienceDaily. Available: http://www.sciencedaily.com/releases/2016/10/161021121843.htm [January 2018].
American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (5th ed.). Washington, DC: Author.
Ames, C. (1986). Conceptions of motivation within competitive and noncompetitive goal structures. In R. Schwarzer (Ed.), Self-related Cognitions in Anxiety and Motivation (pp. 229–245). Hillsdale, NJ: Lawrence Erlbaum Associates.
Ames, C. (1992). Achievement goals and adaptive motivation patterns: The role of the environment. In G. Roberts (Ed.), Motivation in Sport and Exercise (pp. 161–176). Champaign, IL: Human Kinetics.
Ames, C., and Ames, R. (1984). Goal structures and motivation The Elementary School Journal, 85(1), 38–52.
Ames, C., and Archer, J. (1988). Achievement goals in the classroom: Students learning strategies and motivational processes. Journal of Educational Psychology, 80(3), 260–267.
Anderman, E.M., and Maehr, M.L. (1994). Motivation and schooling in the middle grades. Review of Educational Research, 64(2), 287–309. doi.org/10.2307/1170696.
Anderman, E.M., and Midgley, C. (1997). Changes in achievement goal orientations, perceived academic competence, and grades across the transition to middle level schools. Contemporary Educational Psychology, 22(3), 269–298. doi.org/10.1006/ceps.1996.0926.
Andersen, S.L. (2003). Trajectories of brain development: Point of vulnerability or window of opportunity? Neuroscience and Biobehavioral Reviews, 27(1–2), 3–18.
Anderson, J.R. (1982). Acquisition of cognitive skill. Psychological Review, 89(4), 369–406. doi.org/10.1037/0033-295X.89.4.369.
Anderson, J.R., Corbett, A.T., Koedinger, K.R., and Pelletier, R. (1995). Cognitive tutors: Lessons learned. Journal of the Learning Sciences, 4(2), 167–207. doi.org/10.1207/s15327809jls0402_2.
Anderson, M.L. (2015a). After Phrenology: Neural Reuse and the Interactive Brain. Cambridge, MA: MIT Press.
Anderson, M.L. (2015b). Technology Device Ownership: 2015. Washington, DC: Pew Research Center. Available: http://www.pewinternet.org/2015/10/29/technology-device-owner-ship-2015 [December 2017].
Anderson, R.C., and Pichert, J.W. (1978). Recall of previously unrecallable information following a shift in perspective. Journal of Verbal Learning and Verbal Behavior, 17(1), 1–12. doi.org/10.1016/S0022-5371(78)90485-1.
Andrade, H. (2016, unpublished). Classroom Assessment and Learning: A Selective Review of Theory and Research. Paper commissioned by the Committee on the Science of Practice and Learning, National Academies of Sciences, Engineering, and Medicine, Washington, DC.
Antonucci, T.C., Lansford, J.E., Schaberg, L., Baltes, M., Takahashi, K., Dartigues, J.F., Smith, J., Akiyama, H., and Fuhrer, R. (2001). Widowhood and illness: A comparison of social network characteristics in France, Germany, Japan, and the United States. Psychology and Aging, 16(4), 655–665.
Aronson, J. (2004). The Effects of Conceiving Ability as Fixed or Improvable on Responses to Stereotype Threat. Unpublished manuscript. New York: New York University.
Aronson, E., and Patnoe, S. (1997). Cooperation in the Classroom: The Jigsaw Method. New York: Longman.
Aronson, J., and Salinas, M.F. (1997). Stereotype Threat: Is Low Performance the Price of Self-esteem for Mexican Americans? Paper presented to the Western Psychological Association Conference, Seattle, WA, April.
Aronson, J., Lustina, M.J., Good, C., Keough, K., Steele, C.M., and Brown, J. (1999). When White men can’t do math: Necessary and sufficient factors in stereotype threat. Journal of Experimental Social Psychology, 35(1), 29–46.
Aronson, J., Fried, C.B., and Good, C. (2001). Reducing the effects of stereotype threat on African American college students by shaping theories of intelligence. Journal of Experimental Social Psychology, 38(2), 113–125. doi:10.1006/jesp.2001.1491.
Autor, D.H., and Price, B. (2013). The Changing Task Composition of the U.S. Labor Market: An Update of Autor, Levy and Murnane (2003). Available: https://economics.mit.edu/files/11600 [December 2017].
Avineri, N., Johnson, E., Brice-Heath, S., McCarty, T., Ochs, E., Kremer-Sadlik, T., Blum, S., Zentella, A.C., Rosa, J., Flores, N., Alim, H.S., and Paris, D. (2015). Invited forum: Bridging the “language gap.” Journal of Linguistic Anthropology, 25(1), 66–86. doi:10.1111/jola.12071.
Azevedo, R., and Aleven, V. (2013). International Handbook of Metacognition and Learning Technologies. New York: Springer.
Azevedo, R., and Cromley, J.G. (2004). Does training on self-regulated learning facilitate students’ learning with hypermedia? Journal of Educational Psychology, 96(3), 523–535. doi:10.1037/0022-06126.96.36.1993.
Azevedo, R., Johnson, A., Chauncey, A., and Burkett, C. (2010). Self-regulated learning with MetaTutor: Advancing the science of learning with MetaCognitive tools. In M.S. Khine and I.M. Saleh (Eds.), New Science of Learning (pp. 225–247). New York: Springer.
Bain, R. (2006). Rounding up unusual suspects: Facing the authority hidden in the history classroom. Teachers College Record, 108(10), 2080–2114.
Baker, R.D., and F.R. Greer (2010). Diagnosis and prevention of iron deficiency and iron-deficiency anemia in infants and young children (0–3 years of age). Pediatrics, 126(5), 1040–1050.
Bakia, M., Means, B., Gallagher, L., Chen, E., and Jones, K. (2009). Evaluation of the Enhancing Education Through Technology Program: Final Report. Washington, DC: U.S. Department of Education. Available: http://files.eric.ed.gov/fulltext/ED527143.pdf [December 2017].
Ballesteros, S., Kraft, E., Santana, S., and Tziraki, C. (2015). Maintaining older brain functionality: A targeted review. Neuroscience & Biobehavioral Reviews, 55, 453–477. doi:10.1016/j. neubiorev.2015.06.008.
Balota, D.A., Duchek, J.M., and Paullin, R. (1989). Age-related differences in the impact of spacing, lag, and retention interval. Psychology and Aging, 4(1), 3–9.
Balota, D.A., Duchek, J.M., Sergent-Marshall, S.D., and Roediger, H.L. (2006). Does expanded retrieval produce benefits over equal-interval spacing? Explorations of spacing effects in healthy aging and early stage Alzheimer’s disease. Psychology and Aging, 21(1), 19–31. doi:10.1037/0882-79188.8.131.52.
Baltes, P.B., and Baltes, M.M. (1990). Psychological perspectives on successful aging: The model of selective optimization with compensation. In P.B. Baltes and M.M. Baltes (Eds.), Successful Aging: Perspectives from the Behavioral Sciences (pp. 1–34). New York: Cambridge University Press.
Baltes, P.B., and Staudinger, U.M. (2000). Wisdom: A metaheuristic (pragmatic) to orchestrate mind and virtue toward excellence. American Psychologist, 5(1), 122–136.
Bandura, A. (1965). Influence of models’ reinforcement contingencies on the acquisition of imitative responses. Journal of Personality and Social Psychology, 1(6), 589–595.
Bandura, A. (1977). Social Learning Theory. Englewood Cliffs, NJ: Prentice-Hall.
Bandura, A. (1989). Social cognitive theory. In R. Vasta (Ed.), Annals of Child Development. Six Theories of Child Development (vol. 6, pp. 1-60). Greenwich, CT: JAI Press.
Bandura, A., and Schunk, D.H. (1981). Cultivating competence, self-efficacy, and intrinsic interest through proximal self-motivation. Journal of Personality and Social Psychology, 41(3), 586–598. doi.org/10.1037/0022-35184.108.40.2066.
Bandura, A., Ross, D., and Ross, S.A. (1961). Transmission of aggression through imitation of aggressive models. Journal of Abnormal and Social Psychology, 63, 575–582.
Bandura, A., Ross, D., and Ross, S.A. (1963). Imitation of film-mediated aggressive models. Journal of Abnormal and Social Psychology, 66, 3–11.
Bang, M., Alfonso, J., Faber, L., Marin, A., Marin, M., Medin, D., Waxman, S., and Woodring, J. (in press). Perspective taking in early childhood books: Implications for early science learning. Culture Studies in Science Education.
Bang, M., Medin, D.L., and Atran, S. (2007). Cultural mosaics and mental models of nature. Proceedings of the National Academy of Sciences of the United States of America, 104(35), 13868–13874.
Bangert-Drowns, R.L., Kulik, C.C., Kulik, J.A., and Morgan, M.T. (1991). The instructional effect of feedback in test-like events. Review of Educational Research, 61, 213–238.
Banks, J.A., and McGee Banks, C.A. (Eds.) (2010). Multicultural Education: Issues and Perspectives, 7th Edition. Hoboken, NJ: John Wiley & Sons.
Barab, S., Thomas, M., Dodge, T., Carteaux, R., and Tuzun, H. (2005). Making learning fun: Quest Atlantis, a game without guns. Educational Technology Research and Development, 53(1), 86–107.
Bargh, J.A., and Schul, Y. (1980). On the cognitive benefits of teaching. Journal of Educational Psychology, 72(5), 593–604. doi:10.1037/0022-06220.127.116.113.
Barker, J.E., Semenov, A.D., Michaelson, L., Provan, L.S., Snyder, H.R., and Munakata, Y. (2014). Less-structured time in children’s daily lives predicts self-directed executive functioning. Frontiers in Psychology, 5, 1–16. doi.org/10.3389/fpsyg.2014.00593.
Barkley, R.A. (2006). Attention-Deficit Hyperactivity Disorder: A Handbook for Diagnosis and Treatment (3rd Edition). New York: Guilford Press.
Barnett, S.M., and Ceci, S.J. (2002). When and where do we apply what we learn? A taxonomy for far transfer. Psychological Bulletin, 128(4), 612–637. doi.org/10.1037/0033-2909.128.4.612.
Barnett, W.S., Jung, K., Yarosz, D.J., Thomas, J., Hornbeck, A., Stechuk, R., and Burns, S. (2008). Educational effects of the tools of the mind curriculum: A randomized trial. Early Childhood Research Quarterly, 23(3), 299–313.
Barrett, T., Pizzico, M., Levy, B., Nagel, R., Linsey, J., Talley, K., Forest, C.R., and Newstetter, W. (2015). A Review of University Maker Spaces. Paper presented at 122nd Annual Conference and Exposition of the American Society Engineering Education, Seattle, WA. Available: https://smartech.gatech.edu/handle/1853/53813 [December 2017].
Barron, B. (2006). Interest and self-sustained learning as catalysts of development: A learning ecology perspective. Human Development, 49(4), 193–224.
Barron, B., and Darling-Hammond, L. (2008). Powerful learning: Studies show deep understanding derives from collaborative methods. Edutopia, October 8. Available: https://www.edutopia.org/inquiry-project-learning-research [December 2017].
Bassett, D.S., Wymbs, N.F., Porter, M.A., Mucha, P.J., Carlson, J.M., and Grafton, S.T. (2011). Dynamic reconfiguration of human brain networks during learning. Proceedings of the National Academies of Sciences of the United States of America, 108(18), 7641–7646. doi:10.1073/pnas.1018985108.
Basso, K.H. (1996). Wisdom Sits in Places: Landscape and Language among the Western Apache. Albuquerque, NM: UNM Press.
Bates, E. (1979). The Emergence of Symbols: Cognition and Communication in Infancy. New York: Academic Press.
Bauer, P.J. (2009). Neurodevelopmental changes in infancy and beyond: Implications for learning and memory. In O.A. Barbarin and B.H. Wasik (Eds.), Handbook of Child Development and Early Education: Research to Practice (pp. 78–102). New York: Guilford Press.
Bauer, P.J., and Jackson, F.L. (2015). Semantic elaboration: ERPs reveal rapid transition from novel to known. Journal of Experimental Psychology: Learning, Memory, and Cognition, 41(1), 271–282. doi:10.1037/a0037405.
Bauer, P.J., and Larkina, M. (2016). Predicting remembering and forgetting of autobiographical memories in children and adults: A 4-year prospective study. Memory (Hove, England), 24(10), 1345–1368. doi:10.1080/09658211.2015.1110595.
Bauer, P.J., and San Souci, P. (2010). Going beyond the facts: Young children extend knowledge by integrating episodes. Journal of Experimental Child Psychology, 107(4), 452–465. doi:10.1016/j.jecp.2010.05.012.
Bauer, P.J., and Varga, N.L. (2015). The developmental cognitive neuroscience of memory: Implications for education. In E. Tardif and P. Doudin (Eds.), Collective Work on the Topics of Neuroscience, Cognition and Education (pp. 1–16). Oxford, UK: De Boeck.
Bauer, P.J., King, J.E., Larkina, M., Varga, N.L., and White, E.A. (2012). Characters and clues: Factors affecting children’s extension of knowledge through integration of separate episodes. Journal of Experimental Child Psychology, 111(4), 681–694. doi:10.1016/j.jeep2011.10.005.
Bednall, T.C., and Kehoe, E.J. (2011). Effects of self-regulatory instructional aids on self-directed study. Instructional Science, 39(2), 205–226. doi:10.1007/s11251-009-9125-6.
Beier, M.E., and Ackerman, P.L. (2001). Current events knowledge in adults: An investigation of age, intelligence and non-ability determinants. Psychology and Aging, 16(4), 615–628.
Beier, M.E., and Ackerman, P.L. (2003). Determinants of health knowledge: An investigation of age, gender, abilities, personality, and interests. Journal of Personality and Social Psychology, 84(2), 439–448.
Beier, M.E., and Ackerman, P.L. (2005). Age, ability, and the role of prior knowledge on the acquisition of new domain knowledge: Promising results in a real-world learning environment. Psychology and Aging, 20(2), 341–355. doi.org/10.1037/0882-7918.104.22.1681.
Beier, M.E., Torres, W.J., and Gilberto, J.M. (2017). Continuous development throughout a career: A lifespan perspective on autonomous learning. In J.E. Ellingson and R.A. Noe (Eds.), Autonomous Learning in the Workplace: SIOP Organizational Frontier Series (pp. 179–200). New York: Routledge.
Beilock, S.L. (2010). Choke: What the Secrets of the Brain Reveal About Getting it Right When You Have To. New York: Simon & Schuster
Beilock, S.L., Rydell, R.J., and McConnell, A.R. (2007). Stereotype threat and working memory: Mechanisms, alleviation, and spill over. Journal of Experimental Psychology: General, 136(2), 256–276. doi:10.1037/0096-3422.214.171.1246.
Beilock, S.L., Lyons, I.M., Mattarella-Micke, A., Nusbaum, H.C., and Small, S.L. (2008). Sports experience changes the neural processing of action language. Proceedings of the National Academy of Sciences of the United States of America, 105(36), 13269–13273. doi:10.1073/pnas.0803424105.
Bell, P., Tzou, C., Bricker, L., and Baines, A.D. (2012). Learning in diversities of structures of social practice: Accounting for how, why and where people learn science. Human Development, 55(5–6), 269–284.
Beller, S., Bender, A., and Song, J. (2009). Weighing up physical causes: Effects of culture, linguistic cues and content. Journal of Cognition and Culture, 9(3), 347–365.
Benassi, V.A., Overson, C.E., and Hakala, C.M. (2014). Applying Science of Learning in Education: Infusing Psychological Science into the Curriculum. Washington, DC: Society for the Teaching of Psychology. Available: https://scholars.unh.edu/cgi/viewcontent.cgi?referer=https://www.google.com/&httpsredir=1&article=1286&context=psych_facpub [December 2017].
Bender, A., Beller, S., and Medin, D.L. (2017). Causal cognition and culture. In M.R. Waldmann (Ed.), The Oxford Handbook of Causal Reasoning. Oxford, UK: Oxford University Press. doi:10.1093/oxfordhb/9780199399550.013.34.
Bendlin, B.B., Fitzgerald, M.E., Ries, M.L., Xu, G., Kastman, E.K., Thiel, B.W., and Johnson, S.C. (2010). White matter in aging and cognition: A cross-sectional study of microstructure in adults aged eighteen to eighty-three. Developmental Neuropsychology, 35(3), 257–277. doi.org/10.1080/87565641003696775.
Bengtsson, S.L., Nagy, Z., Skare, S., Forsman, L., Forssberg, H., and Ullén, F. (2005). Extensive piano practicing has regionally specific effects on white matter development. Nature Neuroscience, 8(9), 1148–1150.
Benjamin, A.S., and Tullis, J. (2010). What makes distributed practice effective? Cognitive Psychology, 61(3), 228–247. doi:10.1016/j.cogpsych.2010.05.004.
Bennett, R. (2011). Formative assessment: A critical review. Assessment in Education: Principles, Policy and Practice, 18(1), 5–25.
Berkeley, S., Scruggs, T.E., and Mastropieri, M.A. (2010). Reading comprehension instruction for students with learning disabilities, 1995–2006: A meta-analysis. Remedial and Special Education, 31(6), 423–436. doi:10.1177/0741932509355988.
Berkman, E.T. (2016). Self-regulation training. In K.D. Vohs and R.F. Baumeister (Eds.), Handbook of Self-Regulation (3rd ed., pp. 440–457). New York: Guilford Press.
Berkman, L.F. (1985). The relationship of social networks and social support to morbidity and mortality. In S. Cohen and S.L. Syme (Eds.), Social Support and Health. New York: Academy Press.
Bernard, R.M., Abrami, P.C., Borokhovski, E., Wade, A., Tamim, R., Surkes, M.A., and Bethel, E.C. (2009). A meta-analysis of three interaction treatments in distance education. Review of Educational Research, 79(3), 1243–1289. doi:10.3102/0034654309333844v1.
Bernstein, I.L., Webster, M.M., and Bernstein, I.D. (1982). Food aversions in children receiving chemotherapy for cancer. Cancer, 50(12), 2961–2963.
Best, J.R. (2010). Effects of physical activity on children’s executive function: Contributions of experimental research on aerobic exercise. Developmental Review, 30(4), 331–351.
Bialystok, E. (2017). The bilingual adaptation: How minds accommodate experience. Psychological Bulletin, 143(3), 233–262.
Bialystok, E., Abutalebi, J., Bak, T.H., Burke, D.M., and Kroll, J.F. (2016). Aging in two languages: Implications for public health. Ageing Research Reviews, 27, 56–60. doi:10.1016/j. arr.2016.03.003.
Bielak, A.A.M. (2010). How can we not “lose it” if we still don’t understand how to “use it”? Unanswered questions about the influence of activity participation on cognitive performance in older age—a mini-review. Gerontology, 56(5), 507–519. doi.org/10.1159/000264918.
Bielak, A.A.M., Anstey, K.J., Christensen, H., and Windsor, T.D. (2012). Activity engagement is related to level, but not change in cognitive ability across adulthood. Psychology and Aging, 27(1), 219–228. doi.org/10.1037/a0024667.
Birchfield, D., and Johnson-Glenberg, M.C. (2010). A next gen Interface for embodied learning: SMALLab and the geological layer cake. International Journal of Gaming and Computer-mediated Simulation, 2(1), 49–58.
Birnbaum, M.S., Kornell, N., Bjork, E.L., and Bjork, R.A. (2013). Why interleaving enhances inductive learning: The roles of discrimination and retrieval. Memory & Cognition, 41(3), 392–402. doi:10.3758/s13421-012-0272-7.
Biswas, G., Leelawong, K., Schwartz, D., and Vye, N. (2005). Learning by teaching: A new agent paradigm for educational software. Applied Artificial Intelligence, 19(3–4), 363–392. doi:10.1080/08839510590910200.
Bjork, R.A., Dunlosky, J., and Kornell, N. (2013). Self-regulated learning: Beliefs, techniques, and illusions. Annual Review of Psychology, 64, 417–444. doi:10.1146/annurev-psych-113011-143823.
Bjorklund, D.F., Dukes, C., and Brown, R.D. (2009). The development of memory strategies. In M. Courage and N. Cowan (Eds.), The Development of Memory in Infancy and Childhood (pp. 145–175). Hove East Sussex, UK: Psychology Press.
Black, P., and Wiliam, D. (1998). Assessment and classroom learning. Assessment in Education: Principles, Policy & Practice, 5(1), 7–74.
Black, P., and Wiliam, D. (2009). Developing the theory of formative assessment. Educational Assessment, Evaluation and Accountability, 21(1), 5–31.
Blackmore, S. (2000). The Meme Machine. Oxford, UK: Oxford University Press.
Blackwell, L.S., Trzesniewski, K.H., and Dweck, C.S. (2007). Implicit theories of intelligence predict achievement across an adolescent transition: A longitudinal study and an intervention. Child Development, 78(1), 246–263.
Blair, C., and Razza, R.P. (2007). Relating effortful control, executive function, and false belief understanding to emerging math and literacy ability in kindergarten. Child Development, 78(2), 647–663.
Blakemore, S.-J. (2010). The developing social brain: Implications for education. Neuron, 65(6), 744-747. doi: 10.1016/j.neuron.2010.03.004.
Blume, B.D., Ford, J.K., Baldwin, T.T., and Huang, J.L. (2010). Transfer of training: A meta-analytic review. Journal of Management, 36(4), 1065–1105. doi.org/10.1177/0149206309352880.
Blumenfeld, P.C., Mergendoller, J.R., and Swarthout, D.W. (1987). Tasks as heuristics for understanding student learning and motivation. Journal of Curriculum Studies, 19(2), 135–148.
Blunden, S., and Galland, B. (2014). The complexities of defining optimal sleep: Empirical and theoretical considerations with a special emphasis on children. Sleep Medicine Reviews, 18(5), 371–378.
Bodrova, E., and Leong, D. (2007). Tools of the Mind: The Vygotskian Approach to Early Childhood Education (2nd Edition). Upper Saddle River, NJ: Pearson/Merrill Prentice Hall.
Boekaerts, M., and Cascallar, M. (2006). How far have we moved toward the integration of theory and practice in self-regulation? Educational Psychology Review, 18(3), 199–210.
Bonawitz, E.B., and Lombrozo, T. (2012). Occam’s rattle: Children’s use of simplicity and probability to constrain inference. Developmental Psychology, 48(4), 1156–1164. doi:10.1037/a0026471.
Bopp, K.L., and Verhaeghen P. (2005). Aging and verbal memory span: A meta-analysis. Journals of Gerontology, Series B, Psychological Sciences and Social Sciences, 60(5), 223–233.
Bornstein, M. (2010). Handbook of Cultural Developmental Science. New York: Psychology Press.
Bosma, H., van Boxtel, M.P.J., Ponds, R.W.H.M., Jelicic, M., Houx, P., Metsemakers, J., and Jolles, J. (2002). Engaged lifestyle and cognitive function in middle and old-aged, non-demented persons: A reciprocal association? Zeitschrift Für Gerontologie Und Geriatrie, 35(6), 575–581. doi.org/10.1007/s00391-002-0080-y.
Boud, D., and Middleton, H. (2003). Learning from others at work: Communities of practice and informal learning. Journal of Workplace Learning, 15(5), 194–202.
Bower, G.H., Clark, M.C., Lesgold, A.M., and Winzenz, D. (1969). Hierarchical retrieval schemes in recall of categorized word lists. Journal of Verbal Learning and Verbal Behavior, 8(3), 323–343. doi.org/10.1016/S0022-5371(69)80124-6.
Boykin, A.W., Lilja, A., and Tyler, K.M. (2004). The influence of communal vs. individual learning context on the academic performance in social studies of African American 4th and 5th grade children. Learning Environments Research Journal, 7(3), 227–244.
Boykin, W., and Noguera, P. (2011). Creating the Opportunity to Learn: Moving from Research to Practice to Close the Achievement Gap. Alexandria, VA: ASCD.
Braboszcz, C., Cahn, B.R., Balakrishnan, B., Maturi, R.K., Grandchamp, R., and Delorme, A. (2013). Plasticity of visual attention in Isha yoga meditation practitioners before and after a 3-month retreat. Frontiers in Psychology, 4, 914. doi.org/10.3389/fpsyg.2013.00914.
Bricker, L., and Bell, P. (2014). What comes to mind when you think of science? The perfumery! Documenting science-related cultural learning pathways across contexts and timescales. Journal of Research in Science Teaching. 51(3), 260-285. doi: 10.1002/tea.21134.
Briggs, D.C., Alonzo, A.C., Schwab, C., and Wilson, M. (2006). Diagnostic assessment with ordered multiple choice items. Educational Assessment, 11(1), 33–63.
Briones, T.L., Klintsova, A.Y., and Greenough, W.T. (2004). Stability of synaptic plasticity in the adult rat visual cortex induced by complex environment exposure. Brain Research, 1018(1), 130–135. doi:10.1016/j.brainres.2004.06.001.
Briscoe, J., and Rankin, P.M. (2009). Exploration of a “double-jeopardy” hypothesis within working memory profiles for children with specific language impairment. International Journal of Language & Communication Disorders, 44(2), 236–250. doi:10.1080/13682820802028760.
Bronfenbrenner, U. (1977). Toward an experimental ecology of human development. American Psychologist, 32(7), 513–531.
Bronfenbrenner, U. (1994). Ecological models of human development. In International Encyclopedia of Education (2nd ed., vol. 3). Oxford, UK: Elsevier.
Brown, W. (1923). To what extent is memory measured by a single recall? Journal of Experimental Psychology, 6(5), 377–382. doi:10.1037/h0073877.
Brown, A.L., and Campione, J.C. (1995). Guided discovery in a community of learners. In E. McGilly (Ed.), Classroom Learners: Integrated Cognitive Theory and Classroom Practice (Chapter 9) (pp. 229–249). Cambridge, MA: The MIT Press. Available: http://www.cogsci.ucsd.edu/~deak/classes/EDS115/brown_campione2_ps.pdf [December 2017].
Brown, D., and Clement, J. (1989). Overcoming misconceptions via analogical reasoning: Factors influencing understanding in a teaching experiment. Instructional Science, 18, 237–261.
Brown, A.L., Day, J.D., and Jones, R.S. (1983). The development of plans for summarizing texts. Child Development, 54(4), 968–979. doi:10.2307/1129901.
Brown, A.L., Kane, M.J., and Echols, C.H. (1986). Young children’s mental models determine analogical transfer across problems with a common goal structure. Cognitive Development, 1(2), 103–121.
Bruner, J.S. (1961). The act of discovery. Harvard Educational Review, 31(1), 21–32.
Bryan, J., Osendarp, S., Hughes, D., Calvaresi, E., Baghurst, K., and van Klinken, J.W. (2004). Nutrients for cognitive development in school-aged children. Nutrition Reviews, 62(8), 295–306.
Bubolz, M.M., and Sontag, M.S. (2009). Human ecology theory. In P.G. Boss, W.J. Doherty, R. LaRossa, W.R. Schumm, and S.K. Steinmetz (Eds.), Sourcebook of Family Theories and Methods: A Contextual Approach (pp. 419–448). New York: Springer.
Budde, H., Voelcker-Rehage, C., Pietraßyk-Kendziorra, S., Ribeiro, P., and Tidow, G. (2008). Acute coordinative exercise improves attentional performance in adolescents. Neuroscience Letters, 441(2), 219–223.
Bull, S., and Kay, J. (2013). Open learner models as drivers for metacognitive processes. In R. Azevedo and V. Aleven (Eds.), International Handbook of Metacognition and Learning Technologies (pp. 349–365). New York: Springer.
Bull, R., and Scerif, G. (2001). Executive functioning as a predictor of children’s mathematics ability: Inhibition, switching, and working memory. Developmental Neuropsychology, 19(3), 273–293.
Bull, G., Thompson, A., Searson, M., Garofalo, J., Park, J., Young, C., and Lee, J. (2008). Connecting informal and formal learning: Experiences in the age of participatory media. Contemporary Issues in Technology and Teacher Education, 8(2), 100–107.
Burgstahler, S. (2015). Equal Access: Universal Design of Instruction. A Checklist for Inclusive Teaching. Seattle: University of Washington, DO-IT. Available: http://www.washington.edu/doit/Brochures/Academics/equal_access_udi.html [December 2017].
Burkam, D.T., Ready, D.D., Lee, V.E., and LoGerfo, L.F. (2004). Social-class differences in summer learning between kindergarten and first grade: Model specification and estimation. Sociology of Education, 77(1), 1–31.
Burns, K.C., and Isbell, L.M. (2007). Promoting malleability is not one size fits all: Priming implicit theories of intelligence as a function of self-theories. Self and Identity, 6(1), 51–63. doi:10.1080/15298860600823864.
Bybee, J., and McClelland, J.L. (2005). Alternatives to the combinatorial paradigm of linguistic theory based on domain general principles of human cognition. Linguistic Review, 22(2–4), 381–410. doi.org/10.1515/tlir.2005.22.2-4.381.
Cabeza, R. (2002). Hemispheric asymmetry reduction in older adults: The HAROLD model. Psychology and Aging, 17(1), 85–100.
Cadinu, M., Maass, A., Rosabianca, A., and Kiesner, J. (2005). Why do women underperform under stereotype threat? Evidence for the role of negative thinking. Psychological Science, 16(7), 572–578.
Cajete, G.A. (1999). The Native American Learner and Bicultural Science Education. Available: https://files.eric.ed.gov/fulltext/ED427908.pdf [July 2018].
Cain, K., and Oakhill, J.V. (1999). Inference making ability and its relation to comprehension failure in young children. Reading and Writing, 11(5–6), 489–503. doi:10.1023/A:1008084120205.
Calabrese Barton, A., and Tan, E. (2009). Funds of knowledge and discourses and hybrid space. Journal of Research in Science Teaching, 46(1), 50–73.
Callahan, J.S., Kiker, D.S., and Cross, T. (2003). Does method matter? A meta-analysis of the effects of training method on older learner training performance. Journal of Management, 29(5), 663–680. doi.org/10.1016/S0149-2063(03)00029-1.
Cameron, J., Pierce, W.D., Banko, K.M., and Gear, A. (2005). Achievement-based rewards and intrinsic motivation: A test of cognitive mediators. Journal of Educational Psychology, 97(4), 641–655. doi:10.1037/0022-06126.96.36.1991.
Campbell, K.L., Hasher, L., and Thomas, R.C. (2010). Hyper-binding: A unique age effect. Psychological Science, 21(3), 399–405.
Care, E., Scoular, C., and Griffin, P. (2016). Assessment of collaborative problem solving in education environments. Applied Measurement in Education, 29(4), 250–264. doi.org/10.1080/08957347.2016.1209204.
Carey, S. (1985). Conceptual Change in Childhood. Cambridge, MA: The MIT Press.
Carey, S. (2009). The Origin of Concepts. New York: Oxford University Press.
Carlson, M.C., Parisi, J.M., Xia, J., Xue, Q.-L., Rebok, G.W., Bandeen-Roche, K., and Fried, L.P. (2012). Lifestyle activities and memory: Variety may be the spice of life. The Women’s Health and Aging Study II. Journal of the International Neuropsychological Society, 18(2), 286–294. doi.org/10.1017/S135561771100169X.
Carnevale, A.P., and Smith, N. (2013). Recovery: Job Growth and Education Requirements through 2020. Washington, DC: Georgetown University Center on Education and the Workforce. Available: https://cew.georgetown.edu/cew-reports/recovery-job-growth-and-education-requirements-through-2020 [December 2017].
Carpenter, S.K., and Mueller, F.E. (2013). The effects of interleaving versus blocking on foreign language pronunciation learning. Memory & Cognition, 41(4), 671–682. https://doi.org/10.3758/s13421-012-0291-4.
Carpenter, S.K., Cepeda, N.J., Rohrer, D., Kang, S.H.K., and Pashler, H. (2012). Using spacing to enhance diverse forms of learning: Review of recent research and implications for instruction. Educational Psychology Review, 24(3), 369–378. doi:10.1007/s10648-012-9205-z.
Carstensen, L.L., Isaacowitz, D.M., and Charles, S.T. (1999). Taking time seriously: A theory of socioemotional selectivity. American Psychologist, 54(3), 165–181.
Carstensen, L.L., Fung, H.H., and Charles, S.T. (2003). Socioemotional selectivity theory and the regulation of emotion in the second half of life. Motivation and Emotion, 27(2), 103–123.
Carter, M., and Beier, M.E. (2010). The effectiveness of error management training with working-aged adults. Personnel Psychology, 63(3), 641–675. doi.org/10.1111/j.1744-6570.2010.01183.x.
Carvalho, P.F., and Goldstone, R.L. (2014a). Effects of interleaved and blocked study on delayed test of category learning generalization. Frontiers in Psychology, 5(936), 1–11. doi:10.3389/fpsyg.2014.00936.
Carvalho, P.F., and Goldstone, R.L. (2014b). Putting category learning in order: Category structure and temporal arrangement affect the benefit of interleaved over blocked study. Memory & Cognition, 42(3), 481–495. doi:10.3758/s13421-013-0371-0.
Carver, C., and Scheier, M.F. (2017). Self-regulation of action and affect. In K. Vohs and R.F. Bauminster (Eds.), Handbook of Self-Regulation: Research, Theory, and Applications (3rd ed., pp. 3–23). New York: Guilford Press.
Cassarino, M., O’Sullivan, B., Keny, R.A., and Setti, A. (2015). Environment and cognitive aging: A cross-sectional study of place of residence and cognitive performance in the Irish longitudinal study on ageing. Neuropsychology, 30(5), 543–557. doi:10.1037/neu0000253.
Cassidy, L., Ortlieb, E., and Grote-Garcia, S. (2016). Beyond the common core: Examining 20 years of literacy priorities and their impact on struggling readers. Literacy Research and Instruction, 55(2), 91–104. doi:10.1080/19388071.2015.1136011.
Caterino, M.C., and Polak, E.D. (1999). Effects of two types of activity on the performance of 2nd, 3rd and 4th grade students on a test of concentration. Perceptual and Motor Skills, 89(1), 245–248.
Cattell, R.B. (1987). Intelligence: Its Structure, Growth, and Action. New York: Elsevier Science.
Cavanagh, J.C., and Blanchard-Fields, F. (2002). Adult Development and Aging (4th ed.). Belmont, CA: Wadsworth-Thomson.
Cazden, C. (1988). Classroom Discourse: The Language of Teaching and Learning. Portmouth, NH: Heinemann.
Center for Universal Design. (1997). The Principles of Universal Design (Version 2.0). Raleigh, NC: Author.
Centers for Disease Control and Prevention. (2009). Perceived insufficient rest or sleep among adults—United States, 2008. Morbidity and Mortality Weekly Report, 58(42), 1175–1179.
Cepeda, N.J., Pashler, H., Vul, E., Wixted, J.T., and Rohrer, D. (2006). Distributed practice in verbal recall tasks: A review and quantitative synthesis. Psychological Bulletin, 132(3), 354–380. doi:10.1037/0033-2909.132.3.354.
Cepeda, N.J., Vul, E., Rohrer, D., Wixted, J.T., and Pashler, H. (2008). Spacing effects in learning: A temporal ridgeline of optimal retention. Psychological Science, 19(11), 1095–1102. doi:10.1111/j.1467-9280.2008.02209.x.
Cerasoli, C.P., Nicklin, J.M., and Nassrelgrgawi, A. (2016). Performance, incentives, and needs for autonomy, competence, and relatedness: A meta-analysis. Motivation & Emotion, 40(6), 781–813. doi:10.1007/s11031-016-9578-2.
Challis, B.H. (1993). Spacing effects on cued-memory tests depend on level of processing. Journal of Experimental Psychology: Learning, Memory, and Cognition, 19(2), 389–396.
Chan, K.-W., and Lai, P.-Y. (2006). Revisiting the Trichotomous Achievement Goal Framework for Hong Kong Secondary Students: A Structural Model Analysis. Paper presented at the meeting of Australia Association for Research in Education, Adelaide, Australia, November. Available: https://www.aare.edu.au/publications-database.php/4989/revisiting-the-trichotomous-achievement-goal-framework-for-hong-kong-secondary-students-a-structural.
Chan, M.Y., Haber, S., Drew, L.M., and Park, D.C. (2014). Training older adults to use tablet computers: Does it enhance cognitive function? The Gerontologist, 56(3), 475–484. Available: https://doi.org/10.1093/geront/gnu057 [January 2018].
Chang, Y. (2014). Reorganization and plastic changes of the human brain associated with skill learning and expertise. Frontiers in Human Neuroscience, 8, 35. doi:10.3389/fnhum.2014.00035.
Charness, N., and Schumann, C.E. (1992). Training older adults in word processing: Effects of age, training technique, and computer anxiety. International Journal of Technology & Aging, 5(1), 79–106.
Chaudry, A., Morrissey, T., Weiland, C., and Yoshikawa, H. (2017). Cradle to Kindergarten: A New Plan to Combat Inequality. New York: Russell Sage Foundation.
Chavous, T.M., Bernat, D.H., Schmeelk-Cone, K., Caldwell, C.H., Kohn-Wood, L., and Zimmerman, M.A. (2003). Racial identity and academic attainment among African American adolescents. Child Development, 74(4), 1076–1090.
Chechik, G., Meilijison, I., and Ruppin, E. (1999). Neuronal regulation: A mechanism for synaptic pruning during brain maturation. Neural Computation, 11(8), 2061–2680. doi:10.1162/089976699300016089.
Chen, F. (2015). The Impact of Criteria-Referenced Formative Assessment on Fifth Grade Students’ Theater Arts and English Language Arts Achievement. Doctoral dissertation. University at Albany—SUNY.
Chi, M.T.H. (2009). Active-constructive-interactive: A conceptual framework for differentiating learning activities. Topics in Cognitive Science, 1(1), 73–105. doi:10.1111/j.1756-8765.2008.01005.x.
Chi, M.T.H., Hutchinson, J., and Robin, A. (1989a). How inferences about novel domain-related concepts can be constrained by structured knowledge. Merrill-Palmer Quarterly, 35(1), 27–62.
Chi, M.T.H., Bassok, M., Lewis, M.W., Reimann, P., and Glaser, R. (1989b). Self-explanations: How students study and use examples in learning to solve problems. Cognitive Science, 13(2), 145–182. doi:10.1207/s15516709cog1302_1.
Chi, M.T.H., De Leeuw, N., Chiu, M.H., and LaVancher, C. (1994). Eliciting self-explanations improves understanding. Cognitive Science, 18(3), 439–477.
Chi, M.T.H., Roscoe, R., DSlotta, J., Roy, M., and Chase, M. (2012). Misconceived causal explanations for “emergent” processes. Cognitive Science, 36(1), 1–61. doi:10.1111/j.1551-6709. 2011.01207.x.
Chin, C., and Osborne, J. (2012). Supporting argumentation through students’ questions: Case studies in science classrooms. Journal of the Learning Sciences, 19(2), 230–284. doi.org/10.1080/10508400903530036.
Chiong, C., and Shuler, C. (2010). Learning: Is There an App for That? Investigations of Young Children’s Usage and Learning with Mobile Devices and Apps. New York: The Joan Ganz Cooney Center at Sesame Workshop. Available: http://pbskids.org/read/files/cooney_learning_apps.pdf [December 2017].
Christensen, H., Korten, A., Jorm, A.F., Henderson, A.S., Scott, R., and Mackinnon, A.J. (1996). Activity levels and cognitive functioning in an elderly community sample. Age and Ageing, 25(1), 72–80.
Christle, C.A., Jolivette, K., and Nelson, C.M. (2005). Breaking the school to prison pipeline: Identifying school risk and protective factors for youth delinquency. Exceptionality, 13(2), 69–88.
Chua, H.F., Boland, J.E., and Nisbett, R.E. (2005). Cultural variation in eye movements during scene perception. Proceedings of the National Academy of Sciences of the United States of America, 102(35), 12629–12633.
Chung, H.J., Weyandt, L.L., and Swentosky, A. (2014). The physiology of executive functioning. In S. Goldstein and J.A. Naglieri (Eds.), Handbook of Executive Functioning (pp. 13–27). New York: Springer.
Cialdini, R.B. (2007). Descriptive social norms as underappreciated sources of social control. Psychometrika, 72(2), 263–268.
Cialdini, R.B., Reno, R.R., and Kallgren, C.A. (1990). A focus theory of normative conduct: Recycling the concept of norms to reduce littering in public places. Journal of Personality and Social Psychology, 58(6), 1015–1026.
Clark, D., Tanner-Smith, E., Killingsworth, S. (2014). Digital Games, Design and Learning: A Systematic Review and Meta-Analysis (Executive Summary). Menlo Park, CA: SRI International. Available: https://www.sri.com/sites/default/files/publications/digital-games-design-and-learning-executive_summary.pdf [December 2017].
Cleeremans, A. (1996). Principles of implicit learning. In D. Berry (Ed.), How Implicit is Implicit Learning? (pp. 196–234). Oxford, UK: Oxford University Press.
Clegg, J., Wen, N., Legare, C., Gauthier, I., and Cowan, N. (2017). Is non-conformity WEIRD? Cultural variation in adults’ beliefs about children’s competency and conformity. Journal of Experimental Psychology: General, 146(3), 428–441.
Clement, J. (2000). Model based learning as a key research area for science education. International Journal of Science Education, 22(9), 1041–1053.
Cobb, P., and Bauersfeld, H. (Eds.), (1995). The Emergence of Mathematical Meaning: Interaction in Classroom Cultures. Hillsdale, NJ: Lawrence Erlbaum Associates.
Coffman, J.L., Ornstein, P.A., McCall, L.E., and Curran, P.J. (2008). Linking teachers’ memory-relevant language and the development of children’s memory skills. Developmental Psychology, 44(6), 1640–1654. doi:10.1037/a0013859.
Cohen, E.G., and Lotan, R.A. (Eds.). (1997). Working for Equity in Heterogeneous Classrooms: Sociological Theory in Practice. New York: Teachers College Press.
Cohen, G.L., and Steele, C.M. (2002). A barrier of mistrust: How negative stereotypes affect cross-race mentoring. In J. Aronson (Ed.), Improving Academic Achievement: Impact of Psychological Factors on Education (pp. 305–331). San Diego, CA: Academic Press.
Cohen, G.L., Steele, C.M., and Ross, L.D. (1999). The mentor’s dilemma: Providing critical feedback across the racial divide. Personality and Social Psychology Bulletin, 25(10), 1302–1318.
Cohen, G.L., Garcia, J., Apfel, N., and Master, A. (2006). Reducing the racial achievement gap: A social-psychological intervention. Science, 313(5791), 1307–1310. doi:10.1126/science.1128317.
Cohen, G.L., Garcia, J., Purdie-Vaughns, V., Apfel, N., and Brzustoski, P. (2009). Recursive processes in self-affirmation: Intervening to close the minority achievement gap. Science, 324(5925), 400–403. doi:10.1126/science.1170769.
Cohen-Kadosh, K., and Johnson, M.H. (2007). Developing a cortex specialized for face perception. Trends in Cognitive Science, 11(9), 367–369. doi:10.1016/j.tics.2007.06.007.
Colcombe, S., and Kramer, A.F. (2003). Fitness effects on the cognitive function of older adults: A meta-analytic study. Psychological Science, 14(2), 125–130.
Cole, M. (1995). Culture and cognitive development: From cross-cultural research to creating systems of cultural mediation. Culture & Psychology, 1, 25–54.
Cole, M. (1998). Cultural Psychology: A Once and Future Discipline. Cambridge, MA: Harvard University Press.
Cole, M., and Packer, M. (2005). Culture in development. In M.H. Bornstein and M.E. Lamb (Eds.), Cognitive Development: An Advanced Textbook (pp. 67–124). New York: Psychology Press.
Cole, M., and Scribner, S. (1974). Culture and Thought: A Psychological Introduction. Oxford, UK: John Wiley & Sons.
Collette, F., Hogge, M., Salmon, E., and Van der Linden, M. (2006). Exploration of the neural substrates of executive functioning by functional neuroimaging. Neuroscience, 139(1), 209–221.
Collins, A., Neville, P., and Bielaczyc, K. (2000). The role of different media in designing learning environments. International Journal of Artificial Intelligence in Education, 11, 144-162.
Collins, F. (2004). What we do and don’t know about “race,” “ethnicity,” genetics, and health at the dawn of the genome era. Nature Genetics, 36(11, Suppl.), S13–S15.
Comings, J.T., and Cuban, S. (2000). So I Made Up My Mind: Introducing a Study of Adult Learner Persistence in Library Literacy Programs. Available: http://eric.ed.gov/?id=ED446772 [December 2017].
Condliffe, B., Visher, M.G., Bangser, M.R., Drohojowska, S., and Saco, L. (2016). Projectbased Learning: A Literature Review. Available: https://s3-us-west-1.amazonaws.com/ler/MDRC+PBL+Literature+Review.pdf [December 2017].
Cooper, S., Khatib, F., Treuille, A., Barbero, J., Lee, J., Beenen, M., Leaver-Fay, A., Baker, D., and Popovic, Z. (2010). Predicting protein structures with a multiplayer online game. Nature, 466(7307), 756–760. doi:10.1038/nature09304.
Cooper, M.M., Kouyoumdjian, H., and Underwood, S.M. (2016). Investigating students’ reasoning about acid-base reactions. Journal of Chemical Education, 93, 1703–1712.
Corcoran, T., Mosher, F.A., and Rogat, A. (2009). Learning Progressions in Science: An Evidence-Based Approach to Reform. Available http://www.cpre.org/images/stories/cpre_pdfs/lp_science_rr63.pdf [July 2018].
Correa-Chávez, M., and Rogoff, B. (2009). Children’s attention to interactions directed to others: Guatemalan Mayan and European American patterns. Developmental Psychology, 45(3), 630–641.
Cortiella, C., and Horowitz, S.H. (2014). The State of Learning Disabilities: Facts, Trends and Emerging Issues. New York: National Center for Learning Disabilities. Available: https://www.ncld.org/wp-content/uploads/2014/11/2014-State-of-LD.pdf [December 2017].
Coutanche, M.N., Gianessi, C.A., Chanales, A.J.H., Willison, K.W., and Thompson-Schill, S.L. (2013). The role of sleep in forming a memory representation of a two-dimensional space. Hippocampus, 23(12), 1189–1197. doi:10.1002/hipo.22157.
Covington, M.V. (2000). Goal theory, motivation, and school achievement: An integrative review. Annual Review of Psychology, 51(1), 171–200. doi:10.1146/annurev.psych.51.1.171.
Craig, S.D., Sullins, J., Witherspoon, A. and Gholson, B. (2006). Deep-level reasoning questions effect: The role of dialog and deep-level reasoning questions during vicarious learning. Cognition and Instruction, 24(4), 563–589.
Craik, F.I.M., and Bialystok, E. (2006). Cognition through the lifespan: Mechanisms of change. Trends in Cognitive Sciences, 10(3), 131–138.
Craik, F.I.M., and Rose, N.S. (2012). Memory encoding and aging: A neurocognitive perspective. Neuroscience & Biobehavioral Reviews, 36(7), 1729–1739.
Craik, F.I.M., and Salthouse, T.A. (Eds.). (2008). Handbook of Cognitive Aging (3rd ed.). New York: Psychology Press.
Craik, F.I.M., and Tulving, E. (1975). Depth of processing and the retention of words in episodic memory. Journal of Experimental Psychology: General, 104(3), 268–294. doi:10.1037/0096-34188.8.131.528.
Creswell, J.D., and Lindsay, E.K. (2014). How does mindfulness training affect health? A mindfulness stress buffering account. Current Directions in Psychological Science, 23(6), 401–407.
Cronbach, L.J. (1957). The two disciplines of scientific psychology. American Psychologist, 12(11), 671–684.
Crone, E.A., and Dahl, R.E. (2012). Understanding adolescence as a period of social-affective engagement and goal flexibility. Nature Reviews Neuroscience, 13 (9), 636–650. doi:10.1038/nrn3313
Crouch, C.H., and Mazur, E. (2001). Peer instruction: Ten years of experience and results. American Journal of Physics, 69, 970–977. doi.org/10.1119/1.1374249.
Crouzevialle, M., and Butera, F. (2013). Performance-approach goals deplete working memory and impair cognitive performance. Journal of Experimental Psychology: General, 142(3), 666–678. doi:10.1037/a0029632.
Cvencek, D., Meltzoff, A.N., and Greenwald, A.G. (2011). Math–gender stereotypes in elementary school children. Child Development, 82(3), 766–779.
Damasio, A. (1994). Descartes’ Error: Emotion, Reason and the Human Brain. New York: Random House.
Danaher, K., and Crandall, C.S. (2008). Stereotype threat in applied settings re-examined. Journal of Applied Social Psychology, 38(6), 1639–1655. doi:10.1111/j.1559-1816.2008.00362.x.
Darby, K.P., and Sloutsky, V.M. (2015). The cost of learning: Interference effects in memory development. Journal of Experimental Psychology: General, 144(2), 410–431. doi:10.1037/xge0000051.
Dar-Nimrod, I., and Heine, S.J. (2006). Exposure to scientific theories affects women’s math performance. Science, 314(5798), 435.
Darnon, C., Harackiewicz, J., Butera, F., Mugny, G., and Quiamzade, A. (2007). Performance-approach and performance-avoidance goals: When uncertainty makes a difference. Personality and Social Psychology Bulletin, 33(6), 813–827.
Davidson, R.J., and Lutz, A. (2008). Buddha’s brain: Neuroplasticity and meditation. IEEE Signal Processing Magazine, 25(1), 176–174.
Davis, C.L., Tomporowski, P.D., McDowell, J.E., Austin, B.P., Miller, P.H., Yanasak, N.E., Allison, J.D., and Naglieri, JA. (2011). Exercise improves executive function and alters neural activation in overweight children: A randomized controlled trial. Health Psychology: Official Journal of the Division of Health Psychology, American Psychological Association, 30(1), 91–98. doi:10.1037/a0021766.
Dawley, L. (2009). Social network knowledge construction: Emerging virtual world pedadogy. On The Horizon, 17(2), 109–121.
Dawley, L., and Dede, C. (2014). Situated learning in virtual worlds and immersive simulations. In M. Spector, M.D. Merrill, J. Elen, and M.J. Bishop (Eds.), Handbook of Research on Educational Communications and Technology (pp. 723–734). New York: Springer.
Day, J.C., and Newburger, E.C. (2002). The Big Payoff: Educational Attainment and Synthetic Estimates of Work–Life Earnings. Washington, DC: U.S. Census Bureau. Available: http://www.census.gov/prod/2002pubs/p23-21pdf [December 2017].
de Bruin, A.B.H., Rikers, R.M.J.P., and Schmidt, H.G. (2007). The effect of self-explanation and prediction on the development of principled understanding of chess in novices. Contemporary Educational Psychology, 32(2), 188–205. doi:10.1016/j.cedpsych.2006.01.001.
de Frias, C.M., Dixon, R.A., Fisher, N., and Camicioli, R. (2007). Intraindividual variability in neurocognitive speed: A comparison of Parkinson’s disease and normal older adults. Neuropsychologia, 45(11), 2499–2507.
De La Paz, S., Monte-Sano, C., Felton, M., Croninger, R., Jackson, C., and Worland, K. (2017). A historical writing apprenticeship for adolescents: Integrating disciplinary learning with cognitive strategies. Reading Research Quarterly, 52(1), 31–52. doi:10.1002/rrq.147.
Deci, E.L., and Ryan, R.M. (1985). Intrinsic Motivation and Self-determination in Human Behavior. New York: Plenum Press.
Deci, E.L., and Ryan, R.M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11, 227–268.
Deci, E.L., Koestner, R., and Ryan, R.M. (1999). A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychological Bulletin, 125(6), 627–668.
Deci, E.L., Koestner, R., and Ryan, R.M. (2001). Extrinsic rewards and intrinsic motivation in education: Reconsidered once again. Review of Educational Research, 71(1), 1–27.
Dede, C., and Richards, J. (2012). Synthesis: Next steps in the evolution of digital teaching platforms. In C. Dede and J. Richards (Eds.), Digital Teaching Platforms: Customizing Classroom Learning for Each Student (pp. 201–208). New York: Teacher’s College Press.
Dee, T.S. (2015). Social identity and achievement gaps: Evidence from an affirmation intervention. Journal of Research on Educational Effectiveness, 8(2), 149–168.
Dehaene, S., and Cohen, L. (2011). The unique role of the visual word form area in reading. Trends in Cognitive Sciences, 15(6), 254–262.
Dehaene, S., Pegado, F., Braga, L.W., Ventura, P., Nunes Filho, G., Jobert, A., Dehaene-Lambertz, G., Kolinsky, R., Morais, J., and Cohen, L. (2010). How learning to read changes the cortical networks for vision and language. Science, 330(6009), 1359–1364.
Dekker, S., and Fischer, R. (2008). Cultural differences in academic motivation goals: A metaanalysis across thirteen societies. Journal of Educational Research, 102(2), 99–110. doi.org/10.3200/JOER.102.2.99-110.
Delello, J.A., and McWhorter, R.R. (2015). Reducing the digital divide: Connecting older adults to iPad technology. Journal of Applied Gerontology, 36(1), 3–28. doi:10.1177/0733464815589985.
Delpit, L. (1995). Other Peoples’ Children: Cultural Conflict in the Classroom. New York: The New Press.
Dembo, M.H., and Howard, K. (2007). Advice about the use of learning styles: A major myth in education. Journal of College Reading and Learning, 37(2), 101–109.
Dempster, F.N. (1996). Distributing and managing the conditions of encoding and practice. In E.L. Bjork and R.A. Bjork (Eds.), Handbook of Perception and Cognition (pp. 317–344). New York: Academic Press.
Deslauriers, L., Schelew, E., and Wieman, C. (2011). Improved learning in a large-enrollment physics class. Science, 332(6031), 862–864.
Diamond, A., Barnett, W.S., Thomas, J., and Munro, S. (2007). Preschool program improves cognitive control. Science (New York, N.Y.), 318(5855), 1387–1388. doi.org/10.1126/science.1151148.
Diamond, M.C., Krech, D., and Rosenzweig, M.R. (1964). The effects of an enriched environment on the rat cerebral cortex. Journal of Comparative Neurology, 123, 111–119.
Diekelmann, S., and Born, J. (2010). The memory function of sleep. Nature Reviews Neuroscience, 11, 114–126.
Dill, E., and Boykin, A.W. (2000). The comparative influence of individual, peer tutoring, and communal learning contexts on the text-recall of African American children. Journal of Black Psychology, 26(1), 65–78.
Dillenbourg, P. (1996). Some technical implications of the distributed cognition approach on the design of interactive learning environments. Journal of Artificial Intelligence in Education, 7(2), 161–180.
Dillenbourg, P., and Traum, D. (2006). Sharing solutions: Persistence and grounding in multimodal collaborative problem solving. Journal of the Learning Sciences, 15(1), 121–151.
Dillenbourg, P., Baker, M., Blaye, A., and O’Malley, C. (1996). The evolution of research on collaborative learning. In E. Spada and P. Reiman (Eds.), Learning in Humans and Machines: Towards an Interdisciplinary Learning Science (pp. 189–211). Oxford, UK: Elsevier.
Dirette, D.P. (2014). Questions about race as a research variable. The Open Journal of Occupational Therapy, 2(3), 1–7.
D’Mello, S.K., Lehman, B., Pekrun, R., and Graesser, A.C. (2014). Confusion can be beneficial for learning. Learning and Instruction, 29(1), 153–170.
Doignon, J.-P., and Falmagne, J.-C. (1999). Knowledge Spaces. Berlin: SpringerVerlag.
Dollman, J., Ridley, K., Olds, T., and Lowe, E. (2007). Trends in the duration of school day sleep among 10- to 15-year-old south Australians between 1985 and 2004. Acta Paediatrica, 96(7), 1011–1014.
Dornisch, M.M., and Sperling, R.A. (2006). Facilitating learning from technology-enhanced text: Effects of prompted elaborative interrogation. The Journal of Educational Research, 99(3), 156–165. doi:10.3200/joer.99.3.156-166.
Dow, S.P., Glassco, A., Kass, J., Schwarz, M., Schwartz, D.L., and Klemmer, S.R. (2010). Parallel prototyping leads to better design results, more divergent creations, and self-efficacy gains. ACM Transactions on Computer–Human Interaction, 17(4), 1–24.
Draganski, B., Gaser, C., Busch, V., Schuirer, G., Bogdahn, U., and May, A. (2004). Neuroplasticity: Changes in grey matter induced by training. Nature, 427(6972), 311–312. doi:10.1038/427311a.
Draganski, B., Gaser, C., Kempermann, G., Kuhn, H.G., Winkler, J., Buchel, C., and May, A. (2006). Temporal and spatial dynamics of brain structure changes during extensive learning. Journal of Neuroscience, 26(23), 6314–6317.
Duncan, G.J., and Murnane, R.J. (Eds.). (2011). Whither Opportunity. New York: Russell Sage Foundation.
Dunleavy, M., and Dede, C. (2013). Augmented reality teaching and learning. In J.M. Spector, M.D Merrill, J. Elen, and M.J. Bishop (Eds.), The Handbook of Research on Educational Communications and Technology (4th Edition) (pp. 735–745). New York: Springer.
Dunlosky, J., and Metcalfe, J. (2009). Metacognition. Thousand Oaks, CA: Sage Publications Inc.
Dunlosky, J., and Rawson, K.A. (2005). Why does rereading improve metacomprehension accuracy? Evaluating the levels-of-disruption hypothesis for the rereading effect. Discourse Processes, 40(1), 37–55.
Dunlosky, J., Rawson, K.A., Marsh, E.J., Nathan, M.J., and Willingham, D.T. (2013). Improving students’ learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public Interest, 14(1), 4–58. doi:10.1177/1529100612453266.
Duschl, R.A., and Osborne, J. (2002). Supporting and promoting argumentation discourse in science education. Studies in Science Education, 38(1), 39–72.
Dweck, C.S. (1986). Motivational processes affecting learning. American Psychologist, 41(10), 1040–1048.
Dweck, C.S. (1999). Self-Theories: Their Role in Motivation, Personality and Development. Philadelphia, PA: Psychology Press.
Dweck, C.S., and Elliott, E.S. (1983). Achievement motivation. In P. Mussen and E.M. Hetherington (Eds.), Handbook of Child Psychology (Vol. 4) (pp. 643–691). New York: John Wiley & Sons.
Dweck, C.S., and Leggett, E.L. (1988). A social-cognitive approach to motivation and personality. Psychological Review, 95(2), 256–273. doi.org/10.1037/0033-295X.95.2.256.
Dweck, C.S., and Master, A. (2009). Self-theories and motivation: Students’ beliefs about intelligence. In K.R. Wenzel, and A. Wigfield (Eds.), Handbook of Motivation at School (pp. 123–140). New York: Routledge/Taylor and Francis Group.
Dynarski, M., Agodini, R., Heaviside, S. Novak, T. Carey, N., and Campuzano, L. (2007). Effectiveness of Reading and Mathematics Software Products: Findings from the First Student Cohort. Report to Congress. NCEE 2007-4005. Washington, DC: U.S. Department of Education.
Dzikovska, M., Steinhauser, N., Farrow, E., Moore, J., and Campbell, G. (2014). BEETLE II: Deep natural language understanding and automatic feedback generation for intelligent tutoring in basic electricity and electronics. International Journal of Artificial Intelligence in Education, 24(3), 284–332. doi:10.1007/s40593-014-0017-9.
Ebner, N.C., Freund, A.M., and Baltes, P.B. (2006). Developmental changes in personal goal orientation from young to late adulthood: From striving for gains to maintenance and prevention of losses. Psychology and Aging, 21(4), 664–678.
Eccles, J.S., and Midgley, C. (1989). Stage/environment fit: Developmentally appropriate classrooms for early adolescents. In R. Ames and C. Ames (Eds.), Research on Motivation in Education, (Vol. 3, pp. 139-181). New York: Academic Press.
Eccles, J.S., and Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109–132. doi.org/10.1146/annurev.psych.53.100901.135153.
Eccles, J.S, Lord, S., and Midgley, C. (1991). What are we doing to early adolescents? The impact of educational contexts on early adolescents. American Journal of Education, 99(4), 521–542.
Eccles, J.S., Adler, T.F., Fullerman, R., Goff, S.B., Kaczala, C.M., Meece, J., and Midgley, C. (1983). Expectancies, values and academic behaviors. In J.T. Spence (Ed.), Achievement and Achievement Motives (pp. 75–146). San Francisco, CA: W.H. Freeman.
Eccles, J.S., Midgley, C., Wigfield, A., Buchanan, C.M., Reuman, D., Flanagan, C., and Iver, D.M. (1993a). Development during adolescence. The impact of stage-environment fit on young adolescents’ experiences in schools and in families. American Psychologist, 48(2), 90–101.
Eccles, J.S., Wigfield, A., Harold, R.D., Blumenfeld, P. (1993b). Ontogeny of children’s self-perceptions and subjective task values across activity domains during the early elementary school years. Child Development, 64, 830–847
Eccles, J.S., Wong, C.A., and Peck, S.C. (2006). Ethnicity as a social context for the development of African-American adolescents. Journal of School Psychology, 44(5), 407–426.
Edmonds, M.S., Vaughn, S., Wexler, J., Reutebuch, C., Cable, A., Tackett, K.K., and Schnakenberg, J.W. (2009). A synthesis of reading interventions and effects on reading comprehension outcomes for older struggling readers. Review of Educational Research, 79(1), 262–300. doi:10.3102/0034654308325998.
Eigsti, I.M., Zayas, V., Mischel, W., Shoda, Y., Ayduk, O., Dadlani, M.B., Davidson, M.C., Lawrence Aber, J., and Casey, B.J. (2006). Predicting cognitive control from preschool to late adolescence and young adulthood. Psychological Science, 17(6), 478–484.
Elbert, T., Pantev, C., Wienbruch, C., Rockstroh, B., and Taub, E. (1995). Increased cortical representation of the fingers of the left hand in string players. Science, 270(5234), 307–307.
Ellingson, J.E., and Noe, R.A. (2017). Autonomous Learning in the Workplace: SIOP Organizational Series (1st Edition). New York: Routledge.
Elliot, A.J. (1997). Integrating the “classic” and “contemporary” approaches to achievement motivation: A hierarchical model of approach and avoidance motivation. In M. Maehr and P. Pintrich (Eds.), Advances in Motivation and Achievement (vol. 10, pp. 143–179). Greenwich, CT: JAI Press.
Elliot, A.J. (1999). Approach and avoidance motivation and achievement goals. Educational Psychologist, 34(3), 169–189.
Elliot, A.J., and McGregor, H.A. (2001). A 2 X 2 achievement goal framework. Journal of Personality and Social Psychology, 80(3), 501–519.
Elliot, A.J., and Murayama, K. (2008). On the measurement of achievement goals: Critique, illustration, and application. Journal of Educational Psychology, 100(3), 613–628.
Elliot, A.J., Chirkov, V.I., Kim, Y., and Sheldon, K.M. (2001). A cross-cultural analysis of avoidance (relative to approach) personal goals. Psychological Science, 12(6), 505–510.
Ericsson, K.A. (1996). The acquisition of expert performance: An introduction to some of the issues. In K.A. Ericsson (Ed.), The Road to Excellence: The Acquisition of Expert Performance in the Arts and Sciences, Sports, and Games (pp. 1–50). Mahwah, NJ: Lawrence Erlbaum Associates.
Erickson, F. (2010). Culture in society and in educational practices. In J.A. Banks and C.A. McGee (Eds.), Multicultural Education: Issues and Perspectives (7th ed., pp. 33–58). Indianapolis, IN: Jossey-Bass.
Esposito, A.G., and Bauer, P.J. (2017). Going beyond the lesson: Self-generating new factual knowledge in the classroom. Journal of Experimental Child Psychology, 153, 110–125. doi:10.1016/j.jecp.2016.09.003.
Etnier, J.L., Nowell, P.M., Landers, D.M., and Sibley, B.A. (2006). A meta-regression to examine the relationship between aerobic fitness and cognitive performance. Brain Research Reviews, 52(1), 119–130.
Fabiani, M., Low, K.A., Wee, E., Sable, J.J., and Gratton, G. (2006). Reduced suppression or labile memory? Mechanisms of inefficient filtering of irrelevant information in older adults. Journal of Cognitive Neuroscience, 18(4), 637–650.
Fandakova, Y., Lindenberger, U., and Shing, Y.L. (2014). Deficits in process-specific prefrontal and hippocampal activations contribute to adult age differences in episodic memory interference. Cerebral Cortex, 24(7), 1832–1844.
Farah, M.J. (2010). Mind, brain, and education in socioeconomic context. In M. Ferrari and L. Vuletic (Eds.), The Developmental Relations among Mind, Brain and Education (pp. 243–256). Dordrecht, The Netherlands: Springer.
Federal Communications Commission. (2016). 2016 Broadband Progress Report. Available: https://apps.fcc.gov/edocs_public/attachmatch/FCC-16-6A1.pdf [December 2017].
Ferretti, R.P., MacArthur, C.D., and Okolo, C.M. (2001). Teaching for historical understanding in inclusive classrooms. Learning Disability Quarterly, 24(1), 59–71.
Figueroa, P. (1991). Education and the Social Construction of “Race.” New York: Routledge.
Finkel, D., Andel, R., Gatz, M., and Pedersen, N.L. (2009). The role of occupational complexity in trajectories of cognitive aging before and after retirement. Psychology and Aging, 24(3), 563–573. doi.org/10.1037/a0015511.
Fiore, S.M., Wiltshire, T.J., Oglesby, J.M., O’Keefe, W.S., and Salas, E. (2014). Complex collaborative problem solving in mission control. Aviation, Space, and Environmental Medicine, 85(4), 456–461.
Fiorella, L., and Mayer, R.E. (2014). Role of expectations and explanations in learning by teaching. Contemporary Educational Psychology, 39(2), 75–85. doi:10.1016/j.cedpsych.2014.01.001.
Fiorella, L., and Mayer, R.E. (2015a). Eight ways to promote generative learning. Educational Psychology Review, 28(4), 717–741. doi:10.1007/s10648-015-9348-9.
Fiorella, L., and Mayer, R.E. (2015b). Learning as a Generative Activity: Eight Learning Strategies That Promote Understanding. New York: Cambridge University Press.
Fischer, K.W., and Bidel, T.R. (2006). Dynamic development of action and thought. In W. Damon and R.M. Lerner (Eds.), Handbook of Child Psychology (6th ed., vol. 1, pp. 313–339). New York: John Wiley & Sons.
Fisher, G.G., Stachowski, A., Infurna, F.J., Faul, J.D., Grosch, J., and Tetrick, L.E. (2014). Mental work demands, retirement, and longitudinal trajectories of cognitive functioning. Journal of Occupational Health Psychology, 19(2), 231–242. doi.org/10.1037/a0035724.
Fisher, S.E., and Francks, C. (2006). Genes, cognition and dyslexia: Learning to read the genome. Trends in Cognitive Sciences, 10(6), 250–257. doi:10.1016/j.tics.2006.04.003.
Fishman, B., and Dede, C. (2016). Teaching and technology: New tools for new times. In D.H. Gitomer and C.A. Bell (Eds.), Handbook of Research on Teaching (5th ed.). Washington, DC: American Educational Research Association.
Fjell, A.M., Walhovd, K.B., Fennema-Notestine, C., McEvoy, L.K., Hagler, D.J., Holland, D., Brewer, J.B., and Dale, A.M. (2009). One-year brain atrophy evident in healthy aging. Journal of Neuroscience, 29(48), 15223–15231. doi:10.1523/JNEUROSCI.3252-09.2009.
Fletcher, J.M. (2010). Construct validity of reading measures in adults with significant reading difficulties. Journal of Learning Disabilities, 43(2), 166–168.
Fletcher, J.M., Lyon, G.R., Fuchs, L.S., and Barnes, M.A. (2007). Learning Disabilities: From Identification to Intervention. New York: Guilford Press.
Flowerday, T., Schraw, G., and Stevens, J. (2004). The role of choice and interest in reader engagement. The Journal of Experimental Education, 72(2), 93–114.
Flynn, L.J., Zheng, X., and Swanson, H.L. (2012). Instructing struggling older readers: A selective meta-analysis of intervention research. Learning Disabilities Research and Practice, 27(1), 21–32. doi:/10.1111/j.1540-5826.2011.00347.x.
Ford, J.K., Quiñones, M.A., Sego, D.J., and Sorra, J.S. (1992). Factors affecting the opportunity to perform trained tasks on the job. Personnel Psychology, 45(3), 511–527. doi:10.1111/j.1744-6570.1992.tb00858.x.
Freeman, S., Eddy, S.L., McDonough, M., Smith, M.K., Okoroafor, N., Jordt, H., and Wenderoth, M.P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences of the United States of America, 111(23), 8410–8415.
Fried. C.B. (2008). In-class laptop use and its effects on student learning. Computers & Education, 50(3), 906–914.
Friedel, J.M., Cortina, K.S., Turner, J.C., and Midgley, C. (2007). Achievement goals, efficacy beliefs and coping strategies in mathematics: The roles of perceived parent and teacher goal emphases. Contemporary Educational Psychology, 32(3), 434–458. doi:10.1016/j. cedpsych.2006.10.009.
Fryberg, S.A., Troop-Gordon, W., D’Arrisso, A., Flores, H., Ponizovskiy, V., Ranney, J.D., Mandour, T., Tootoosis, C., Robinson, S., Russo, N., and Burack, J.A. (2013). Cultural mismatch and the education of Aboriginal youths: The interplay of cultural identities and teacher ratings. Developmental Psychology, 49(1), 72–79. doi:10.1037/a0029056.
Fugate, C.M., Zentall, S.S., and Gentry, M. (2013). Creativity and working memory in gifted students with and without characteristics of attention deficit hyperactive disorder: Lifting the mask. Gifted Child Quarterly, 57(4), 234–246.
Fuligni, A.A., Witkow, M., and Garcia, C. (2005). Ethnic identity and the academic adjustment of adolescents from Mexican, Chinese, and European backgrounds. Developmental Psychology, 41(5), 799–811.
Funder, D.C. (1995). On the accuracy of personality judgment: A realistic approach. Psychological Review, 102(4), 652–670.
Furtak, E.M., and Heredia, S.C. (2014). Exploring the influence of learning progressions in two teacher communities. Journal of Research in Science Teaching, 51(8), 982–1020.
Gabbard, C., and Barton, J. (1979). Effects of physical activity on mathematical computation among young children. Journal of Psychology, 103(2), 287–288.
Gallup, Inc. (2014). Gallup Student Poll. Available: http://www.gallup.com/services/180029/gallup-student-poll-2014-overall-report.aspx [December 2017].
García, J., Kimeldorf, D.J., and Koelling, R.A. (1955). Conditioned aversion to saccharin resulting from exposure to gamma radiation. Science, 122(3160), 157–158.
García-Cabot, A., de-Marcos, L., and García-López, E. (2015). An empirical study on m-learning adaptation: Learning performance and learning contexts. Computers & Education, 82, 450–459. doi.org/10.1016/j.compedu.2014.12.007.
Gardner, R.C. (1985). Social Psychology in Second Language Learning: The Role of Attitudes and Motivation. London, UK: Edward Arnold.
Gasevic, D., Kovanovic, V., Joksimovic, S., and Siemens, G. (2014). Where is research on massive open online courses headed? A data analysis of the MOOC research initiative. The International Review of Research in Open and Distributed Learning, 15(5). Available: http://www.irrodl.org/index.php/irrodl/article/view/1954 [December 2017].
Gathercole, S.E., Alloway, T.P., Willis, C.S., and Adams, A.M. (2006). Working memory in children with reading disabilities. Journal of Experimental Child Psychology, 93(3), 265–281.
Gaumer Erickson, A.S., and Noonan, P.M. (2010). Late-career adults in online education: A rewarding experience for individuals aged 50 to 65. MERLOT Journal of Online Learning and Teaching, 6(2), 388–397.
Gauvain, M. (2009). Social and cultural transactions in cognitive development: A cross-generational view. In A. Sameroff (Ed.), The Transactional Model of Development: How Children and Contexts Shape Each Other (pp. 163–182). Washington, DC: American Psychological Association. doi.org/10.1037/11877-009.
Gauvain, M., and Monroe, R.L. (2009). Contributions of societal modernity to cognitive development: A comparison of four cultures. Child Development, 80(6), 1628–1642.
Gauvain, M., and Monroe, R.L. (2012). Cultural change, human activity, and cognitive development. Human Development, 55(4), 205–228. doi:10.1159/000339451.
Geary, D.C. (1993). Mathematical disabilities: Cognition, neuropsychological and genetic components. Psychological Bulletin, 114, 345–362. doi:10.1016/j.lindif.2009.10.008.
Geary, D.C. (2013). Learning disabilities in mathematics: Recent advances. In H.L. Swanson, K. Harris, and S. Graham (Eds.), Handbook of Learning Disabilities (2nd ed., pp. 239–255). New York: Guilford Press.
Geary, D.C., Hoard, M.K., Nugent, L., and Bailey, D.H. (2012). Mathematical cognition deficits in children with learning disabilities and persistent low achievement: A five-year prospective study. Journal of Educational Psychology, 104(1), 206–223. doi:10.1037/a0025398.
Gee, J.P. (2003). What Video Games Have to Teach Us About Learning and Literacy. New York: Palgrave/Macmillan.
Gee, J.P. (2004). Situated Language And Learning: A Critique of Traditional Schooling. New York: Routledge.
Gee, J.P. (2009). Games, learning, and 21st century survival skills. Journal of Virtual Worlds Research, 2(1), 4–9. doi.org/10.4101/jvwr.v2i1.623.
Gehlbach, H., Brinkworth, M.E., King, A.M., Hsu, L.M., McIntyre, J., and Rogers, T. (2016). Creating birds of similar feathers: Leveraging similarity to improve teacher–student relationships and academic achievement. Journal of Educational Psychology, 108(3), 342–352.
Gelfand, M.J. (2012). Culture’s contraints: International differences in the strength of social norms. Current Directions in Psychological Science, 21(6), 420–424.
Gelfand, M.J., Raver, J.L., Nishii, L., Leslie, L.M., Lun, J., Lim, B.C., Duan, L., Almaliach, A., Ang, S., Arnadottir, J., Aycan, Z., Boehnke, K., Boski, P., Cabecinhas, R., Chan, D., Chhokar, J., D’Amato, A., Ferrer, M., Fischlmayr, I.C., Fischer, R., Fülöp, M., Georgas, J., Kashima, E.S., Kashima, Y., Kim, K., Lempereur, A., Marquez, P., Othman, R., Overlaet, B., Panagiotopoulou, P., Peltzer, K., Perez-Florizno, L.R., Ponomarenko, L., Realo, A., Schei, V., Schmitt, M., Smith, P.B., Soomro, N., Szabo, E., Taveesin, N., Toyama, M., Van de Vliert, E., Vohra, N., Ward, C., and Yamaguchi, S. (2011). Differences between tight and loose cultures:A 33-nation study. Science, 332(6033), 1100-1104. doi: 10.1126/science.1197754.
Gentner, D., Loewenstein, J., Thompson, L., and Forbus, K.D. (2009). Reviving inert knowledge: Analogical abstraction supports relational retrieval of past events. Cognitive Science, 33, 1343–1382.
Gersten, R., Chard, D.J., Jayanthi, M., Baker, S.K., Morphy, P., and Flojo, J. (2009). Mathematics instruction for students with learning disabilities: A meta-analysis of instructional components. Review of Educational Research, 79(3), 1202–1242.
Gesell, A. (1934). An Atlas of Infant Behavior: A Systematic Delineation of the Forms and Early Growth of Human Behavior Patterns. New Haven, CT: Yale University Press.
Gholson, B., and Craig, S.D. (2006). Promoting constructive activities that support vicarious learning during computer-based instruction. Educational Psychology Review, 18(2), 119–139.
Gholson, B., Witherspoon, A., Morgan, B., Brittingham, J.K., Coles, R., Graesser, A.C., Sullins, J., and Craig, S.D. (2009). Exploring the deep-level reasoning questions effect during vicarious learning among eighth to eleventh graders in the domains of computer literacy and Newtonian physics. Instructional Science, 37(5), 487–493.
Gibson, J.J. (1979). The Ecological Approach to Visual Perception. Hillsdale, NJ: Lawrence Erlbaum Associates.
Gick M.J., and Holyoak, K.J. (1980). Analogial problem solving. Cognitive Psychology, 12, 306–355.
Gick, M.L., and Holyoak, K.J. (1983). Schema induction and analogical transfer. Cognitive Psychology, 15(1), 1–38.
Gilbert, C.D., Sigman, M., and Crist, R.E. (2001). The neural basis of perceptual learning. Neuron, 31(5), 681–697.
Gilliam, W., Maupin, A.N., Reyes, C.R., Accavitti, M., and Shic, F. (2016). Do Early Educators’ Implicit Biases Regarding Sex and Race Relate to Behavior Expectations and Recommendations of Preschool Expulsions and Suspensions? A Research Study Brief. New Haven, CT: Yale University Child Study Center. Available: http://ziglercenter.yale.edu/publications/Preschool%20Implicit%20Bias%20Policy%20Brief_final_9_26_276766_5379_v1.pdf [December 2017].
Glymour, M.M., Weuve, J., Fay, M.E., Glass, T., and Berkman, L.F. (2008). Social ties and cognitive recovery after stroke: Does social integration promote cognitive resilience? Neuroepidemiology, 31(1), 10–20.
Gobert, J.D., and Clement, J.J. (1999). Effects of student-generated diagrams versus student-generated summaries on conceptual understanding of causal and dynamic knowledge in plate tectonics. Journal of Research in Science Teaching, 36(1), 39–53. doi:10.1002/(sici)1098-2736(199901)36:1<39::aid-tea4>3.0.co;2-i.
Gobet, F., Lane, P.C., Croker, S., Cheng, P.C., Jones, G., Oliver, I., and Pine, J.M. (2001). Chunking mechanisms in human learning. Trends in Cognitive Sciences, 5(6), 236–243.
Goldin-Meadow, S. (2000). Beyond words: The importance of gesture to researchers and learners. Child Development, 71(1), 231-239.
Goldman, S.V., and Booker, A. (2009). Making math a definition of the situation: Families as sites for mathematical practices. Anthropology and Education Quarterly, 40(4), 369–387.
Goldman, S.R., Britt, M.A., Brown, W., Cribb, C., George, M.A., Greenleaf, C., Lee, C.D., and Shanahan, C. (2016). Disciplinary literacies and learning to read for understanding: A conceptual framework for disciplinary literacy. Educational Psychologist, 51(2), 219–246. doi: 10.1080/00461520.2016.1168741.
Goldstein, I.L., and Ford, K. (2002). Training in Organizations: Needs Assessment, Development, and Evaluation (4th Edition). Belmont, CA: Wadsworth.
Goldstone, R.L. (1996). Isolated and interrelated concepts. Memory & Cognition, 24, 608–628.
Gollwitzer, A., Oettingen, G., Kirby, T.A., Duckworth, A.L., and Mayer, D. (2011). Mental contrasting facilitates academic performance in school children. Motivation and Emotion, 35(4), 403–412. doi:10.1007/s11031-011-9222-0.
Gonzales, P., Blanton, H., and Williams, K.J. (2002). The effects of stereotype threat and double-minority status on the test performance of Latino women. Personality and Social Psychology Bulletin, 28(5), 659–670.
Good, C., Aronson, J., and Harder, J.A. (2008). Problems in the pipeline: Stereotype threat and women’s achievement in high-level math courses. Journal of Applied Developmental Psychology, 29(1), 17–28. doi:10.1016/j.appdev.2007.10.004.
Good, C., Aronson, J., and Inzlicht, M. (2003). Improving adolescents’ standardized test performance: An intervention to reduce the effects of stereotype threat. Journal of Applied Developmental Psychology, 24(6), 645–662. doi:10.1016/j.appdev.2003.09.002.
Goodman, M., Finnegan, R., Mohadjer, L., Krenzke, T., and Hogan, J. (2013). Literacy, Numeracy, and Problem Solving in Technology-Rich Environments Among U.S. Adults: Results from the Program for the International Assessment of Adult Competencies 2012: First Look. NCES 2014-008. Washington, DC: National Center for Education Statistics. Available: https://nces.ed.gov/pubs2014/2014008.pdf [December 2017].
Goodwin, C. (1994). Professional vision. American Anthropologist, 96(3), 606–633.
Goodyear, P., Jones, C., and Thompson, K. (2014). Computer-supported collaborative learning: Instructional approaches, group processes and educational designs. In J.M. Spector, M.D. Merrill, J. Elen, and M.J. Bishop (Eds.), Handbook of Research on Educational Communications and Technology (pp. 439–451). New York: Springer. doi:10.1007/978-1-4614-3185-5_35.
Goswami, U. (2002). Blackwell Handbook of Childhood Cognitive Development. Hoboken, NJ: John Wiley & Sons.
Goswami, I., and Urminsky, O. (2017). The dynamic effect of incentives on post-reward task engagement. Journal of Experimental Psychology: General, 146(1), 1–19.
Gow, A.J., Mortensen, E.L., and Avlund, K. (2012). Activity participation and cognitive aging from age 50 to 80 in the Glostrup 1914 cohort. Journal of the American Geriatrics Society, 60(10), 1831–1838.
Grady, C.L., Maisog, J.M., Horwitz, B., Ungerleider, L.G., Mentis, M.J., Salerno, J.A., Pietrini, P., Wagner, E., and Haxby, J.V. (1994). Age-related changes in cortical blood flow activation during visual processing of faces and location. Journal of Neuroscience, 14(3, Pt. 2), 1450–1462.
Graesser, A.C. (2013). Evolution of advanced learning technologies in the 21st century. Theory Into Practice, 52(Suppl. 1), 93–101.
Graesser, A.C. (2016). Conversations with AutoTutor help students learn. International Journal of Artificial Intelligence in Education, 26(1), 124–132.
Graesser, A.C., and Lehman, B. (2012). Questions drive comprehension of text and multimedia. In M.T. McCrudden, J. Magliano, and G. Schraw (Eds.), Text Relevance and Learning from Text (pp. 53–74). Greenwich, CT: Information Age.
Graesser, A.C., and Olde, B.A. (2003). How does one know whether a person understands a device? The quality of the questions the person asks when the device breaks down. Journal of Educational Psychology, 95(3), 524–536.
Graesser, A.C., Li, H., and Forsyth, C. (2014). Learning by communicating in natural language with conversational agents. Current Directions in Psychological Science, 23(5), 374–380.
Graesser, A.C., Lu, S., Jackson, G.T., Mitchell, H.H., Ventura, M., Olney, A. and Louwerse, M.M. (2004). AutoTutor: A tutor with dialogue in natural language. Behavior Research Methods, Instruments, & Computers, 36(2), 180–192. doi:10.3758/BF03195563.
Graesser, A.C., Singer, M., and Trabasso, T. (1994). Constructing inferences during narrative text comprehension. Psychological Review, 101(3), 371–395.
Graham, S. (1994). Motivation in African Americans. Review of Educational Research, 64(1), 55–117.
Graham, S., and Perin, D. (2007). A meta-analysis of writing instruction for adolescent students. Journal of Educational Psychology, 99(3), 445–476.
Graham, S., Hebert, M., and Harris, K.R. (2015). Formative assessment and writing: A meta-analysis. The Elementary School Journal, 115(4), 523–547.
Grammer, J., Coffman, J.L., and Ornstein, P. (2013). The effect of teachers’ memory-relevant language on children’s strategy use and knowledge. Child Development, 84(6), 1989–2002. doi.org/10.1111/cdev.12100.
Greenberg, D. (2008). The challenges facing adult literacy programs. Community Literacy Journal, 3(1), 39–54.
Greenfield, P.M. (2004). Weaving Generations Together: Evolving Creativity in the Maya of Chiapas (1st Edition). Santa Fe, NM: School of American Research Press.
Greenfield, P.M. (2009). Linking social change and developmental change: Shifting pathways of human development. Developmental Psychology, 45(2), 401–418.
Greeno, J.G., Collins, A.M., and Resnick, L.B. (1996). Cognition and learning. In D. Beliner and R. Calfee (Eds.), Handbook of Educational Psychology (pp. 15–46). New York: Macmillan.
Greenough, W.T., Black, J.E., and Wallace, C.S. (1987). Experience and brain development. Child Development, 58(3), 539–559.
Gregg, N. (2009). Adolescents and Adults with Learning Disabilities and ADHD: Assessment and Accommodation. New York: Guilford Press.
Gregg, N., Coleman, C., David, M., Lindstrom, W., and Hartwig, J. (2006). Critical issues for the diagnosis of learning disabilities in the adult population. Psychology in the Schools, 43(8), 889–899.
Gresky, D.M., Ten Eyck, L.L., Lord, C.G., and McIntyre, R.B. (2005). Effects of salient multiple identities on women’s performance under mathematics stereotype threat. Sex Roles, 53(9–10), 703–716.
Griffin, P., McGaw, B., and Care, E. (2012). Assessment and Teaching of 21st Century Skills. New York: Springer.
Grossman, M., Eslinger, P.J., Troiani, V., Anderson, C., Avants, B., Gee, J.C., McMillan, C., Massimo, L., Khan A., and Antani, S. (2010). The role of ventral medial prefrontal cortex in social decisions: Converging evidence from fMRI and frontotemporal lobar degeneration. Neuropsychologia, 48(12), 3505–3512.
Gully, S.M., and Chen, G. (2010). Individual differences, attribute-treatment interactions, and training outcomes. In S.W.J. Kozlowski and E. Salas (Eds.), Learning, Training, and Development in Organizations (pp. 3–64). San Francisco, CA: Jossey-Bass.
Gully, S.M., Incalcaterra, K.A., Joshi, A., and Beaubien, J.M. (2002). A meta-analysis of team efficacy, potency, and performance: interdependence and level of analysis as moderators of observed relationships. Journal of Applied Psychology, 87(5), 819–832.
Gupta, P.M., Perrine, C.G., Mei, Z., and Scanlon, K.S. (2016). Iron, anemia, and iron deficiency anemia among young children in the United States. Nutrients, 8(6), 330. doi.org/10.3390/nu8060330.
Gurung, R.A.R., and Daniel, D. (2005). Evidence-based pedagogy: Do pedagogical features enhance student learning? In D.S. Dunn and S.L. Chew (Eds.), Best Practices for Teaching Introduction to Psychology (pp. 41–55). Mahwah, NJ: Lawrence Erlbaum Associates.
Gutchess, A.H., Yoon, C., Luo, T., Feinberg, F., Hedden, T., Jing, Q., Nisbett, R.E., and Park, D.C. (2006). Categorical organization in free recall across culture and age. Gerontology, 52(5), 314–323.
Guthrie, J.T., Van Meter, P., McCann, A.D., Wigfield, A., Bennett, L., Punndstone, C.C., Rice, M.E., Faibisch, F.M., Hunt, B., and Mitchell, A.M. (1996). Growth of literacy engagement: Changes in motivations and strategies during concept-oriented reading instruction. Reading Research Quarterly, 31, 306–332.
Guthrie, J.T., Hoa, L.W., Wigfield, A., Tonks, S.M., and Perencevich, K. C. (2006). From spark to fire: Can situational reading interest lead to long-term reading motivation? Reading Research and Instruction, 45, 91–117.
Gutiérrez, K. (2008). Developing a sociocritical literacy in the third space. Reading Research Quarterly, 43(2), 148–164.
Gutiérrez, K.D., and Rogoff, B. (2003). Cultural ways of learning: Individual traits or repertoires of practice. Educational Researcher, 32(5), 19–25.
Gutiérrez, K., Rymes, B., and Larson, J. (1995). Script, counterscript, and underlife in the classroom: James Brown versus Brown vs. Board of Education. Harvard Educational Review, 65(3), 445–471.
Hackman, D.A., and Farah, M.J. (2009). Socioeconomic status and the developing brain. Trends in Cognitive Sciences, 13(2), 65–73.
Hackman, J.R., and Oldham, G.R. (1976). Motivation through the design of work: Test of a theory. Organizational Behavior and Human Performance, 16(2), 250–279. doi.org/10.1016/0030-5073(76)90016-7.
Hahn, U., and Harris, A.J.L. (2014). What does it mean to be biased: Motivated reasoning and rationality. In B. Ross (Ed.), The Psychology of Learning and Motivation (Vol. 61). London, UK: Elsevier.
Hall, D.T., and Mirvis, P.H. (1995). The new career contract: Developing the whole person at midlife and beyond. Journal of Vocational Behavior, 47(3), 269–289. doi.org/10.1006/jvbe.1995.0004.
Hall, D.T., and Mirvis, P.H. (2013). Redefining work, work identity, and career success. In D.L. Blustein (Ed.), The Oxford Handbook of the Psychology of Working (pp. 203–217). New York: Oxford University Press.
Halvorsen, A., Duke, N.K., Brugar, K.A., Block, M.K., Strachan, S.L., Berka, M.B., and Brown, J.M. (2012). Narrowing the achievement gap in second-grade social studies and content area literacy: The promise of a project-based approach. Theory and Research in Social Education, 40(3), 198–229. doi:10.1080/00933104.2012.705954.
Hambrick, D.Z., and Engle, R.W. (2002). Effects of domain knowledge, working memory capacity, and age on cognitive performance: An investigation of the knowledge-is-power hypothesis. Cognitive Psychology, 44, 339–387.
Han, J.J., Leichtman, M.D., and Wang, Q. (1998). Autobiographical memory in Korean, Chinese, and American children. Developmental Psychology, 34(4), 701–713.
Hanakawa, T., Honda, M., Okada, T., Fukuyama, H., and Shibasaki, H. (2003). Neural correlates underlying mental calculation in abacus experts: A functional magnetic resonance imaging study. Neuroimage, 19(2, Pt. 1), 296–307.
Hanselman, P., Rozek, C.S., Grigg, J., and Borman, G.D. (2017). New evidence on self-affirmation effects and theorized sources of heterogeneity from large-scale replications. Journal of Educational Psychology, 109(3), 405–424. doi.org/10.1037/edu0000141.
Hapgood, S., Magnusson, S.J., and Palincsar, A.S. (2004). A very science-like kind of thinking: How young children make meaning from first- and second-hand investigations. Journal of the Learning Sciences, 13(4), 455–506.
Harackiewicz, J.M., Barron, K.E., Pintrich, P.R., Elliot, A.J., and Thrash, T.M. (2002). Revision of achievement goal theory: Necessary and illuminating. Journal of Educational Psychology, 94(3), 638–645. doi.org/10.1037/0022-06184.108.40.2068.
Harrison, T.M., Weintraub, S., Mesulam, M., and Rogalski, E. (2012). Superior memory and higher cortical volumes in unusually successful cognitive aging. Journal of the International Neuropsychological Society, 18(6), 1081–1085. doi:10.1017/S1355617712000847.
Hartshorne, J.K., and Germine, L.T. (2015). When does cognitive functioning peak? The asynchronous rise and fall of different cognitive abilities across the life span. Psychological Science, 26(4), 1–11. doi.org/10.1177/0956797614567339.
Haselton, M.G., and Buss, D.M. (2000). Error management theory: A new perspective on biases in cross-sex mind reading. Journal of Personality and Social Psychology, 78(1), 81–91.
Haselton, M.G., and Funder, D.C. (2006). The evolution of accuracy and bias in social judgment. In M. Schaller, J.A. Simpson, and D.T. Kenrick (Eds.), Evolution and Social Psychology (pp. 15–37). New York: Psychology Press.
Hasher, L., Lustig, C., and Zacks, R. (2008). Inhibitory mechanisms and the control of attention. In A. Conway, C. Jarrold, M. Kane, A. Miyake, and J. Towse (Eds.), Variation in Working Memory (pp. 227–249). New York: Oxford University Press.
Hastings, E.C., and West, R.L. (2011). Goal orientation and self-efficacy in relation to memory in adulthood. Aging, Neuropsychology, and Cognition, 18(4), 471–493. doi:10.1080/13825 585.2011.575926.
Hatano, G., and Inagaki, K. (1986). Two courses of expertise. In H. Stevenson, J. Azuma, and K. Hakuta (Eds.), Child Development and Education in Japan (pp. 262–272). New York: W. H. Freeman & Co.
Hatano, G., and Osawa, K. (1983). Digit memory of grand experts in abacus-derived mental calculation. Cognition, 15(1), 95–110.
Hatano, G., and Oura, Y. (2003). Commentary: Reconceptualizing school learning using insight from expertise research. Educational Researcher, 32, 26–29.
Hatta, T., and Ikeda, K. (1988). Hemispheric specialization of abacus experts in mental calculation: Evidence from the results of time-sharing tasks. Neuropsychologia, 26(6), 877–893. doi.org/10.1016/0028-3932(88)90056-5.
Hattie, J.A.C., and Donoghue, G.M. (2016). Learning strategies: A synthesis and conceptual model. NPJ Science of Learning, 1(16013). doi:10.1038/npjscilearn.2016.13.
Hattie, J.A.C., and Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81–112.
Havighurst, R.J. (1961). Successful aging. The Gerontologist, 1(1), 8–13. doi:10.1093/geront/1.1.8.
Heckhausen, J., Wrosch, C., and Schulz, R. (2010). A motivational theory of life-span development. Psychological Review, 117(1), 32–60.
Hedden, T., and Gabrieli, J.D. (2004). Insights into the ageing mind: A view from cognitive neuroscience. Nature Reviews Neuroscience, 5(2), 87–96.
Heffernan, N., and Heffernan, C. (2014). The ASSISTments Ecosystem: Building a Platform that Brings Scientists and Teachers Together for Minimally Invasive Research on Human Learning and Teaching. International Journal of Artificial Intelligence in Education, 24(4), 470–497. doi:10.1007/s40593-014-0024-x.
Henderson, L.M., Weighall, A.R., Brown, H., and Gaskell, M.G. (2012). Consolidation of vocabulary is associated with sleep in children. Developmental Science, 15(5), 674–687. doi:10.1111/j.1467-7687.2012.01172.x.
Henrich, J., Heine, S.J., and Norenzayan, A. (2010a). Most people are not WEIRD. Nature, 466(7302), 29. doi:10.1038/466029a.
Henrich, J., Heine, S.J., and Norenzayan, A. (2010b). The weirdest people in the world? Behavioral and Brain Sciences, 33(2–3), 61–83.
Heritage, M. (2009). The Case for Learning Progressions. San Francisco, CA: Stupski Foundation.
Heritage, M. (2011). Developing learning progressions. Paper presentation at the annual conference of the American Educational Research Association. New Orleans, LA.
Herr-Stephenson, B., Alper, M., Reilly, E. and Jenkins, H. (2013). T Is for Transmedia: Learning through Transmedia Play. Los Angeles and New York: USC Annenberg Innovation Lab and The Joan Ganz Cooney Center at Sesame Workshop. Available: http://joanganzcooneycenter.org/wp-content/uploads/2013/03/t_is_for_transmedia.pdf [December 2017].
Hersher, R. (2012). FoldIt game’s next play: Crowdsourcing better drug design. Spoonful of Medicine: A Blog from Nature Medicine, April 13. Available: http://blogs.nature.com/spoonful/2012/04/foldit-games-next-play-crowdsourcing-better-drug-design.html?WT.mc_id=TWT_NatureBlogs [November 2017].
Hertzog, C., Kramer, A.F., Wilson, R.S., and Lindenberger, U. (2008). Enrichment effects on adult cognitive development: Can the functional capacity of older adults be preserved and enhanced? Psychological Science in the Public Interest, 9(1), 1–65. doi.org/10.1111/j.1539-6053.2009.01034.x.
Herzog, N.B. (2007). Transporting pedagogy: Implementing the project approach in two first grade classrooms. Journal of Advanced Academics, 18(4), 530–564.
Hesse, F., Care, E., Buder, J., Sassenberg, K., and Griffin, P. (2015). A framework for teachable collaborative problem solving skills. In P. Griffin and E. Care (Eds.), Assessment and Teaching of 21st Century Skills (pp. 37–56). Dordrecht, The Netherlands: Springer.
Heyn, P., Abreu, B.C., and Ottenbacher, K.J. (2004). The effects of exercise training on elderly persons with cognitive impairment and dementia: A meta-analysis. Archives of Physical Medicine and Rehabilitation, 85(10), 1694–1704.
Hidi, S., and Renninger, K.A. (2006). The four-phase model of interest development. Educational Psychologist, 24(2), 111–127. doi.org/10.1207/s15326985ep4102_4.
Higgins, E., and Ross, B. (2011) Comparisons in category learning: How best to compare for what. In: Proceedings of the 33rd Annual Conference of the Cognitive Science Society. Cognitive Science Society, Austin, pp. 1388–1393.
Hillman, C.H., Erickson, K.I., and Kramer, A.F. (2008). Be smart, exercise your heart: Exercise effects on brain and cognition. Nature Reviews Neuroscience, 9(1), 58–65.
Hillman, C.H., Pontifex, M.B., Raine, L.B., Castelli, D.M., Hall, E.E., and Kramer, A.F. (2009). The effect of acute treadmill walking on cognitive control and academic achievement in preadolescent children. Neuroscience, 159(3), 1044–1054. doi:10.1016/j.neuroscience.2009.01.057.
Hirschfeld, L.A., and Gelman, S.A. (1994). Mapping the Mind: Domain-Specificity in Culture and Cognition. New York: Cambridge University Press.
Hirsh-Pasek, K., Zosh, J.M., Golinkoff, R.M., Gray, J.H., Robb, M.B., and Kaufman, J. (2015). Putting education in “educational” apps lessons from the science of learning. Psychological Science in the Public Interest, 16(1), 3–34. doi:10.1177/1529100615569721.
Hirshkowitz, M., Whiton, K., Albert, S.M., Alessi, C., Bruni, O., DonCarlos, L., Hazen, N., Herman, J., Katz, E.S., Kheirandish-Gozal, L., Neubauer, D.N., O’Donnell, A.E., Ohayon, M., Peever, J., Rawding, R., Schdeva, R.C., Setters, B., Vitiello, M.V., Ware, J. C., and Hillard, P.J.A. (2015). National Sleep Foundation’s sleep time duration recommendations: Methodology and results summary. Sleep Health: Journal of the National Sleep Foundation, 1(1), 40–43. Available: https://sleepfoundation.org/sites/default/files/STREPchanges_1.png [December 2017].
Hirst, W., Phelps, E.A., Meksin, R., Vaidya, C.J., Johnson, M.K., Mitchell, K.J., Buckner, R.L., Budson, A.E., Gabrieli, J.D., Lustig, C., Mather, M., Ochsner, K.N., Schacter, D., Simons, J.S., Lyle, K.B., Cuc, A.F., and Olsson, A. (2015). A ten-year follow-up of a study of memory for the attack of September 11, 2001: Flashbulb memories and memories for flashbulb events. Journal of Experimental Psychology: General, 144(3), 604–623. doi:10.1037/xge0000055.
Hmelo-Silver, C.E. (2004). Problem-based learning: What and how do students learn? Educational Psychology Review, 16, 235–266.
Hock, M.F. (2012). Effective literacy instruction for adults with specific learning disabilities: Implications for adult educators. Journal of Learning Disabilities, 45(1), 64–78. doi.org/10.1177/0022219411426859.
Hoeft, F., Meyler, A., Hernandez, A., Juel, C., Taylor-Hill, H., Martindale, J.L., McMillon, G., Kolchugina, G., Black, J.M., Faizi, A., Deutsch, G.K., Siok, W.T., Reiss, A.L., Whitfield-Gabrieli, S., and Gabrieli, J.E. (2007). Functional and morphometric brain dissociation between dyslexia and reading ability. Proceedings of the National Academy of Sciences of the United States of America, 104(10), 4234–4239. doi:10.1073/pnas.0609399104.
Hoffman, B. (2006). The Encyclopedia of Educational Technology. San Diego, CA: Montezuma Press.
Hoffmann, L., and Haussler, P. (1998). An intervention project promoting girls’ and boys’ interest in physics. In L. Hoffmann, A. Krapp, K.A. Renninger, and J. Baumert (Eds.), Interest and Learning: Proceedings of the Seeon Conference on Interest and Gender (pp. 301–316). Kiel, Germany: IPN.
Hofstede, G. (1997). Cultures and Organizations: Software of the Mind. New York: McGraw Hill.
Hollan, J., Hutchins, E., and Kirsh, D. (2000). Distributed cognition: Toward a new foundation for human–computer interaction research. ACM Transactions on Computer–Human Interaction (TOCHI), 7(2), 174–196.
Holmes, J., Gathercole, S.E., and Dunning, D. (2009). Adaptive training leads to sustained enhancement of poor working memory in children. Developmental Science, 12(4), F9–F15. doi:10.1111/j.1467-7687.2009.00848.x.
Holyoak, K.J., Junn, E.N., and Billman, D.O. (1984). Development of analogical problem-solving skill. Child Development, 55(6), 2042–2055.
Hong, H.Y., and Lin-Siegler, X. (2012). How learning about scientists’ struggles influences students’ interest and learning in physics. Journal of Educational Psychology, 104(2), 469–484.
Hsu, C.-K., Hwang, G.-J., and Chang, C.-K. (2013). A personalized recommendation-based mobile learning approach to improving the reading performance of EFL students. Computers & Education, 63, 327–336. doi.org/10.1016/j.compedu.2012.12.004.
Hu, X., Craig, S.D., Bargagliotti A.E., Graesser, A.C., Okwumabua, T., Anderson, C., Cheney, K.R., and Sterbinsky, A. (2012). The effects of a traditional and technology-based after-school program on 6th grade students’ mathematics skills. Journal of Computers in Mathematics and Science Teaching, 31(1), 17–38.
Hulleman, C.S., Durik, A.M., Schweigert, S., and Harackiewicz, J.M. (2008). Task values, achievement goals, and interest: An integrative analysis. Journal of Educational Psychology, 100(2), 398–416.
Hulleman, C.S., Schrager, S.M., Bodmann, S.M., and Harackiewicz, J.M. (2010). A meta-analytic review of achievement goal measures: Different labels for the same constructs or different constructs with similar labels? Psychological Bulletin, 136(3), 422–449. doi:10.1037/a0018947.
Hunsu, N.J., Adesope, O., and Van Wie, B.J. (2017). Engendering situational interest through innovative instruction in an engineering classroom: What really mattered? Instructional Science, 45(6), 789-804. doi.org/10.1007/s11251-017-9427-z.
Hurley, S., and Chater, N. (Eds.). (2005). Perspectives on Imitation: From Neuroscience to Social Science. Cambridge, MA: MIT Press.
Hurley, E.A., Boykin, W.A., and Allen, B.A. (2005). Communal versus individual learning of a math-estimation task: African-American children and the culture of learning contexts. Journal of Psychology, 139(6), 513–527.
Hurley, E.A., Allen, B.A., and Boykin, A.W. (2009). Culture and the interaction of student ethnicity with reward structure in group learning. Cognition and Instruction, 27(2), 121–164.
Huttenlocher, J., Vasilyeva, M., Cymerman, E., and Levine, S. (2002). Language input and child syntax. Cognitive Psychology, 45(3), 337–374.
Iglowstein, I., Jenni, O.G., Molinari, L., and Largo, R.H. (2003). Sleep duration from infancy to adolescence: Reference values and generational trends. Pediatrics, 111(2), 302–307.
Ikeda, K., Castel, A.D., and Murayama, K. (2015). Mastery-approach goals eliminate retrieval-induced forgetting: The role of achievement goals in memory inhibition. Personality and Social Psychology Bulletin, 41(5), 687–695. doi.org/10.1177/0146167215575730.
Immordino-Yang, M.H. (2015). Emotions, Learning and the Brain: Exploring the Educational Implications of Affective Neuroscience. New York: W.W. Norton and Company.
Immordino-Yang, M.H., and Damasio, A.R. (2007). We feel, therefore we learn: The relevance of affective and social neuroscience to education. Mind, Brain and Education, 1(1), 3–10.
Immordino-Yang, M.H., and Fischer, K.W. (2010). Brain development. In I. Weiner and E. Craighead (Eds.), Corsini Encyclopedia of Psychology (4th ed., pp. 254–256). New York: John Wiley & Sons.
Immordino-Yang, M.H., and Gotlieb, R. (2017). Embodied brains, social minds, cultural meaning: Integrating neuroscientific and educational research on social-affective development. American Educational Research Journal: Centennial Issue, 54(1), 344S–367S. Available: http://journals.sagepub.com/doi/abs/10.3102/0002831216669780 [November 2017].
Immordino-Yang, M.H., and Sylvan, L. (2010). Admiration for virtue: Neuroscientific perspectives on a motivating emotion. Contemporary Educational Psychology, 35(2), 110–115.
Immordino-Yang, M.H., McColl, A., Damasio, H., and Damasio, A. (2009). Neural correlates of admiration and compassion. Proceedings of the National Academy of Sciences of the United States of America, 106(19), 8021–8026.
Immordino-Yang, M.H., Christodoulou, J., and Singh, V. (2012). Rest is not idleness: Implications of the brain’s default mode for human development and education. Perspectives on Psychological Science, 7(4), 352–364.
Immordino-Yang, M.H., Yang, X., and Damasio, H. (2014). Correlations between social-emotional feelings and anterior insula activity are independent from visceral states but influenced by culture. Frontiers in Human Neuroscience, 8, 728. doi:10.3389/fnhum.2014.00728.
Institute of Medicine. (2000). From Neurons to Neighborhoods: The Science of Early Childhood Development. Washington, DC: National Academy Press.
Institute of Medicine. (2006). Sleep Disorders and Sleep Deprivation: An Unmet Public Health Problem. Washington, DC: The National Academies Press.
Institute of Medicine. (2011). Early Childhood Obesity Prevention Policies. Washington, DC: The National Academies Press.
Institute of Medicine and National Research Council. (2015). Transforming the Workforce for Children Birth Through Age 8: A Unifying Foundation. Washington, DC: The National Academies Press.
Ionas, I.G., Cernusca, D., and Collier, H.L. (2012). Prior knowledge influence on self-explanation effectiveness when solving problems: An exploratory study in science learning. International Journal of Teaching and Learning in Higher Education, 24(3), 349–358.
Ito, M., Baumer, S., Bittanti, M., Boyd, D., Cody, R., Herr-Stephenson, R., Horst, H.A., Lange, P.G., Mahendran, D., Martínez, K., Z., Pascoe, C.J., Perkel, D., Robinson, L., Sims, C., and Tripp, L. (2009). Hanging Out, Messing Around, Geeking Out: Living and Learning with New Media. Cambridge, MA: MIT Press.
Izuma, K., Saito, D.N., and Sadato, N. (2010). Processing of the incentive for social approval in the ventral striatum during charitable donation. Journal of Cognitive Neuroscience, 22(4), 621–631. doi:10.1162/jocn.2009.21228.
Jacini, W.F., Cannonieri, G.C., Fernandes, P.T., Bonilha, L., Cendes, F., and Li, L.M. (2009). Can exercise shape your brain? Cortical differences associated with judo practice. Journal of Science and Medicine in Sport, 12(6), 688–690. doi:10.1016/j.jsams.2008.11.004.
Jackson, G.T., and McNamara, D.S. (2013). Motivation and performance in a game-based intelligent tutoring system. Journal of Educational Psychology, 105(4), 1036–1049. doi.org/10.1037/a0032580.
Jackson, M.L., Gunzelmann, G., Whitney, P., Hinson, J.M., Belenky, G., Rabat, A., and Van Dongen, H.P. (2013). Deconstructing and reconstructing cognitive performance in sleep deprivation. Sleep Medicine Reviews, 17(3), 215–225.
Jacobs, J., Lanza, S., Osgood, D. W., Eccles, J.S., and Wigfield, A. (2002). Changes in children’s self-competence and values: Gender and domain differences across grades one through twelve. Child Development, 73(2), 509–527.
Jäncke, L., Koeneke, S., Hoppe, A., Rominger, C., and Hänggi, J. (2009) The architecture of the golfer’s brain. PLoS One, 4(3), e4785. doi.org/10.1371/journal.pone.0004785.
Janiszewski, C., Noel, H., and Sawyer, A.G. (2003). A meta-analysis of spacing effect in verbal learning: Implications for research on advertising repetition and consumer memory. Journal of Consumer Research, 30(1), 138–149.
Järvelä, S., and Renninger, K.A. (2014). Designing for learning: Interest, motivation, and engagement. In R.K. Sawyer (Ed.), Cambridge Handbook of the Learning Sciences (2nd ed., pp. 668–685). New York: Cambridge University Press.
Jenkins, H., Purushotma, R., Clinton, K., Weigel, M., and Robison, A.J. (2006). Confronting the Challenges of Participatory Culture: Media Education for the 21st Century. Chicago, IL: MacArthur Foundation.
Ji, L.-J., Guo, T., Zhang, Z., and Messervey, D. (2009). Looking into the past: Cultural differences in perception and representation of past information. Journal of Personality and Social Psychology, 96(4), 761–769. doi:10.1037/a0014498.
John-Steiner, V., and Mahn, H. (1996). Sociocultural approaches to learning and development: A Vygotskian framework. Educational Psychologist, 31(3/4), 191–206.
Johns, M., Inzlicht, M., and Schmader, T. (2008). Stereotype threat and executive resource depletion: Examining the influence of emotion regulation. Journal of Experimental Psychology: General, 137(4), 691–705. doi.org/10.1037/a0013834.
Johnson, D.W., Johnson, R.T., and Stanne, M.E. (2000). Cooperative Learning Methods: A Meta-Analysis. Minneapolis: University of Minnesota, Cooperative Learning Center. Available: https://www.researchgate.net/profile/David_Johnson50/publication/220040324_Cooperative_learning_methods_A_meta-analysis/links/00b4952b39d258145c000000/Cooperative-learning-methods-A-meta-analysis.pdf [December 2017].
Johnson, W.L., and Valente, A. (2009). Tactical language and culture training systems: Using AI to teach foreign languages and cultures. AI Magazine, 30(2), 72–83.
Jones, P.D., and Holding, D.H. (1975). Extremely long-term persistence of the McCollough effect. Journal of Experimental Psychology: Human Perception and Performance, 1(4), 323–327.
Jordan, S., and Lande, M. (2014). Might young makers be the engineers of the future? In Proceedings of the IEEE Frontiers in Education (FIE) Conference (pp. 1–4). Available: http://ieeexplore.ieee.org/document/7044218 [December 2017]. doi.org/10.1109/FIE.2014.7044218.
Jurado, M.B., and Rosselli, M. (2007). The elusive nature of executive functions: A review of our current understanding. Neuropsychology Review, 17(3), 213–233.
Kafai, Y.B. (2010). The world of Whyville: Living, playing, and learning in a tween virtual world. Games and Culture, 5(1), 3–22. doi:10.1177/1555412009351264.
Kahan, D.M., Peters., E., Wittlin, M., Slovic, P., Ouellette, L.L., Braman, D., and Mandel, G. (2012). The polarizing impact of science literacy and numeracy on perceived climate change risks. Nature Climate Change, 2, 732–735. doi:10.1038/nclimate1547.
Kahraman, N., and Sungur, S. (2011). The contribution of motivational beliefs to students’ metacognitive strategy use. Education and Science, 36(160), 3–10.
Kail, R.V., and Miller, C.A. (2006). Developmental changes in processing speed: Domain specificity and stability during childhood and adolescence. Journal of Cognition and Development, 7(1), 119–137. doi.org/10.1207/s15327647jcd0701_6.
Kalakoski, V., and Saariluoma, P. (2001). Taxi drivers’ exceptional memory of street names. Memory & Cognition, 29(4), 634–638.
Kaldi, S., Filippatou, D., and Govaris, C. (2011). Project-based learning in primary schools: Effects on pupils’ learning and attitudes. Education, 39(1), 35–47. doi:10.1080/03004270903179538.
Kanfer, R. (2015). Motivation. Wiley Encyclopedia of Management, 11, 1–8.
Kanfer, R., and Ackerman, P.L. (2008). Aging and work motivation. In C. Wankel (Ed.) Handbook of 21st Century Management (pp. 106–109). Thousand Oaks, CA: Sage.
Kang, S.H.K. (2016). Spaced repetition promotes efficient and effective learning: Policy implications for instruction. Policy Insights from the Behavioral and Brain Sciences, 3(1), 12–19. doi:10.1177/2372732215624708.
Kaplan, A., and Maehr, M.L. (1999). Achievement goals and student well-being. Contemporary Educational Psychology, 24(4), 330-358.
Kaplan, A., and Midgley, C. (1999). The relationship between perceptions of the classroom goal structure and early adolescents’ affect in school: The mediating role of coping strategies. Learning and Individual Differences, 11(2), 187–212. doi.org/10.1016/S1041-6080(00)80005-9.
Karasek, R., Brisson, C., Kawakami, N., Houtman, I., Bongers, P., and Amick, B. (1998). The Job Content Questionnaire (JCQ), An instrument for internationally comparative assessments of psychosocial job characteristics. Journal of Occupational Health Psychology, 3(4), 322–355. doi.org/10.1037/1076-89220.127.116.112.
Karasik, L.B., Adolph, K.E., Tamis-LeMonda, C.S., and Bornstein, M.H. (2010). WEIRD walking: Cross-cultural research on motor development. The Behavioral and Brain Sciences, 33(2-3), 95–96.
Karmiloff-Smith, A. (1986). From meta-processes to conscious access: Evidence from children’s metalinguistic and repair data. Cognition, 23(2), 95–147.
Karmiloff-Smith, A. (1990). Constraints on representational change: Evidence from children’s drawing. Cognition, 34(1), 57–83.
Karpicke, J.D. (2016). A powerful way to improve learning and memory: Practicing retrieval enhances long-term, meaningful learning. American Psychological Association Psychological Science Agenda, June. Available: http://www.apa.org/science/about/psa/2016/06/learning-memory.aspx [December 2017].
Karpicke, J.D., Butler, A.C., and Roediger, H.L. (2009). Metacognitive strategies in student learning: Do students practice retrieval when they study on their own? Memory, 17(4), 471–479. doi:10.1080/09658210802647009.
Kataria, S., Swanson, M.S., and Trevathan, G.E. (1987). Persistence of sleep disturbances in preschool children. Journal of Pediatrics, 110(4), 642–646.
Kaufmann, L., Wood, G., Rubinsten, O., and Henik, A. (2011). Meta-analyses of developmental fMRI studies investigating typical and atypical trajectories of number processing and calculation. Developmental Neuropsychology, 36(6), 763–787. doi.org/10.1080/87565641.2010.549884.
Kay, R.H., and LeSage, A. (2009). A strategic assessment of audience response systems used in higher education. Australian Journal of Educational Technology, 25(2), 235–249.
Keeley, T.J., and Fox, K.R. (2009). The impact of physical activity and fitness on academic achievement and cognitive performance in children. International Review of Sport and Exercise Psychology, 2(2), 198–214.
Keith, N., and Frese, M. (2008). Effectiveness of error management training: A meta-analysis. Journal of Applied Psychology, 93(1), 59–69. doi.org/10.1037/0021-9010.93.1.59.
Keller, H., Borke, J., Staufenbiel, T., Yovsi, R.D., Abels, M., Papaligoura, Z., Jensen, H., Lohaus, A., Chaudhary, N, Lo, W., and Su, Y. (2009). Distal and proximal parenting as alternative parenting strategies during infants’ early months of life: A cross-cultural study. International Journal of Behavioral Development, 33, 412–420.
Keller, J. (2007). Stereotype threat in classroom settings: The interactive effect of domain identification, task difficulty and stereotype threat on female students’ maths performance. British Journal of Educational Psychology, 77(Pt. 2), 323–338. doi:10.1348/000709906X113662.
Keller, H. (2017). Culture and development: A systematic relationship. Perspectives on Psychological Science, 12(5), 833–840. doi.org/10.1177/1745691617704097.
Kellman, P.J., Massey, C.M., and Son, J.Y. (2010). Perceptual learning modules in mathematics: Enhancing students’ pattern recognition, structure extraction, and fluency. Topics in Cognitive Science, 2(2), 285–305.
Kemmelmeier, M., and Chavez, H.L. (2014). Biases in the perception of Barack Obama’s skin tone. Analyses of Social Issues and Public Policy, 14, 137–161. doi 10.1111/asap.12061.
Kempton, W. (1986). Two theories of home heat control. Cognitive Science, 10(1), 75–90. doi.org/10.1016/S0364-0213(86)80009-X.
Kensinger, E.A. (2016, unpublished). Learning in Middle and Late Adulthood. Paper commissioned by the Committee on the Science of Practice and Learning, National Academies of Sciences, Engineering, and Medicine, Washington, DC.
Kershner, R., Mercer, N., Warwick, P., and Kleine Staarman, J. (2010). Can the interactive whiteboard support young children’s collaborative communication and thinking in classroom science activities? Computer-supported Collaborative Learning, 5(4), 359–383.
Keunen, K., Counsell, S.J., and Benders, M.J.N.L. (2017). The emergence of functional architecture during early brain development. NeuroImage, 160, 2–14. doi.org/10.1016/j.neuroimage.2017.01.047.
Keuroghlian, A.S., and Knudsen, E.I. (2007). Adaptive auditory plasticity in developing and adult animals. Progress in Neurobiology, 82(3), 109–121. doi:10.1016/j.pneurobio.2007.03.005.
Khatib, F., Dimaio, F., Cooper, S., Kazmierczyk, M., Gilski, M., Krzywda, S., Zabranska, H., Pichova, I., and Thompson, J. (2011). Crystal structure of a monomeric retroviral protease solved by protein folding game players. Nature Structural & Molecular Biology, 18(10), 1175–1177. doi:10.1038/nsmb.2119.
Kim, J.I., Schallert, D.L., and Kim, M. (2010). An integrative cultural view of achievement motivation: Parental and classroom predictors of children’s goal orientations when learning mathematics in Korea. Journal of Educational Psychology, 102(2), 418–437. doi:10.1037/a0018676.
King, R.B. (2015). Examining the dimensional structure and nomological network of achievement goals in the Philippines. Journal of Adolescence, 44, 214–218. doi:10.1016/j. adolescence.2015.07.019.
King, R.B., and McInerney, D.M. (2016). Culture and motivation: The road travelled and the way ahead. In K. Wentzel and D. Miele (Eds.), Handbook of Motivation at School (2nd Edition) (pp. 275–299). New York: Routledge.
Kingston, N., and Nash, B. (2011). Formative assessment: A meta-analysis and a call for research. Educational Measurement: Issues and Practice, 30(4), 28–37.
Kirkland, D.E. (2008). The rose that grew from concrete: Postmodern blackness and New English education. English Journal, 97(5), 69–75.
Kirkpatrick, D.L. (1967). Evaluation of training. In R.L. Craig and L.R. Bittel (Eds.), Training and Development Handbook (pp. 87–112). New York: McGraw-Hill.
Kirschner, P.A., and Paas, F. (2001). Web-enhanced higher education: A tower of Babel. Computers in Human Behavior, 17(4), 347–353.
Kitayama, S., and Cohen, D. (2007). Handbook of Cultural Psychology. New York: Guilford.
Kitayama, S., and Park, J. (2010). Cultural neuroscience of the self: Understanding the social grounding of the brain. Social Cognitive and Affective Neuroscience, 5(2), 111–129. doi:10.1093/scan/nsq052.
Kitayama, S., and Tompson, S. (2010). Envisioning the future of cultural neuroscience. Asian Journal of Social Psychology, 13(2), 92–101.
Kitayama, S., and Uskul, A.K. (2011). Culture, mind, and the brain: Current evidence and future directions. Annual Review of Psychology, 62(1), 419–449. doi:10.1146/annurev-psych-120709-145357.
Kitayama, S., Matsumoto, H., and Norasakkunkit, V. (1997). Individual and collective processes in the construction of the self: Self-enhancement in the United States and self-criticism in Japan. Journal of Personality and Social Psychology, 72(6), 1245-1267.
Kitayama, S., Yanagisawa, K., Ito, A., Ueda, R., Uchida, Y, and Abe, N. (2017). Reduced orbitofrontal cortical volume is associated with interdependent self-construal. Proceedings of the National Academy of Sciences of the United States of America, 114(30), 7969–7974. doi: 10.1073/pnas.1704831114.
Klein, C., DeRouin, R.E., and Salas, E. (2006). Uncovering workplace interpersonal skills: A review, framework, and research agenda. In G.P. Hodgkinson and J.K. Ford (Eds.), International Review of Industrial and Organizorganisational Psychology (vol. 21, pp. 80–126). New York: John Wiley & Sons.
Koedinger, K.R., Anderson, J.R., Hadley, W.H., and Mark, M.A. (1997). Intelligent tutoring goes to school in the big city. International Journal of Artificial Intelligence in Education, 8, 30–43. Available: http://repository.cmu.edu/cgi/viewcontent.cgi?article=1000&context=hcii [December 2017].
Koedinger, K.R., Corbett, A.T., and Perfetti, C. (2012). The knowledge-learning-instruction framework: Bridging the science-practice chasm to enhance robust student learning. Cognitive Science, 36(5), 757–798.
Koedinger, K.R., Booth, J.L., and Klahr, D. (2013). Instructional complexity and the science to constrain it. Science, 342, 935–937.
Koller, K., Brown, T., Spurgeon, A., and Levy, L. (2004). Recent developments in low-level lead exposure and intellectual impairment in children. Environmental Health Perspectives, 112(9), 987–994. doi.org/10.1289/ehp.6941.
Kolodner, J.L., Camp, P.L., Crismond, D., Fasse, B., Gray, J., Holbrook, J., Puntambekar, S., and Ryan, M. (2003). Problem-based learning meets case-based reasoning in the middle school science classroom: Putting Learning by Design™ into practice. Journal of the Learning Sciences, 4, 495–547.
Kooij, D.T.A.M., de Lange, A.H., Jansen, P.G.W., Kanfer, R., and Dikkers, J.S.E. (2011). Age and work-related motives: Results of a meta-analysis. Journal of Organizational Behavior, 32(2), 197–225. doi:10.1002/job.665.
Kornell, N. (2014). Attempting to answer a meaningful question enhances subsequent learning even when feedback is delayed. Journal of Experimental Psychology: Learning, Memory, and Cognition, 40(1), 106–114. doi:10.1037/a0033699.
Kornell, N., and Bjork, R.A. (2008). Learning concepts and categories: Is spacing the “enemy of induction?” Psychological Science, 19(6), 585–592. doi:10.1111/j.1467-9280.2008.02127.x.
Kornell, N., and Son, L.K. (2009). Learners’ choices and beliefs about self-testing. Memory, 17(5), 493–501. doi:10.1080/09658210902832915.
Kroll, J.F., Dussias, P.E., Bogulski, C.A., and Valdes-Kroff, J. (2012). Juggling two languages in one mind: What bilinguals tell us about language processing and its consequences for cognition. In B. Ross (Ed.), The Psychology of Learning and Motivation (vol. 56, pp. 229–262). San Diego, CA: Academic Press.
Kronenfeld, D.B., Bennardo, G., de Munck, V.C. and Fischer, M.D. (eds). (2011). A Companion to Cognitive Anthropology. Hoboken, NJ: Blackwell.
Kruidenier, J. (2002). Research-based Principles for Adult Basic Education. Washington, DC: National Institute for Literacy.
Kubeck, J.E., Delp, N.D., Haslett, T.K., and McDaniel, M.A. (1996). Does job-related training performance decline with age? Psychology and Aging, 11(1), 92–107.
Kuh, G.D. (2008). High-Impact Educational Practices: What They Are, Who Has Access to Them, and Why They Matter. Washington, DC: Association of American Colleges and Universities. Available: https://keycenter.unca.edu/sites/default/files/aacu_high_impact_2008_final.pdf [December 2017].
Kuhl, P.K., Williams, K.A., Lacerda, F., Stevens, K.N., and Lindblom, B. (1992). Linguistic experience alters phonetic perception in infants by 6 months of age. Science, 255(5044), 606–608.
Kulik, J.A., and Fletcher, J.D. (2016). Effectiveness of intelligent tutoring systems: A meta-analytic review. Review of Educational Research, 86(1), 42–78. doi:10.3102/0034654315581420.
Kulkofsky, S., Wang, Q., and Koh, J.B.K. (2009). Functions of memory sharing and mother-child reminiscing behaviors: Individual and cultural variations. Journal of Cognition and Development, 10(1–2), 92–114.
Kutner, M., Greenberg, E., Jin, Y., Boyle, B., Hsu, Y., Dunleavy, E., and White, S. (2007). Literacy in Everyday Life: Results from the 2003 National Assessment of Adult Literacy. NCES 2007-480. Washington, DC: National Center for Education Research.
Ladson-Billings, G. (1995). Toward a theory of culturally relevant pedagogy. American Educational Research Journal, 32, 465–491.
Ladson-Billings, G. (2006). From the achievement gap to the education debt: Understanding achievement in U.S. schools. Educational Researcher, 35(7), 3–12.
Lake, B.M., Salakhutdinov, R., and Tenenbaum, J.B. (2015). Human-level concept learning through probabilitic program induction. Science, 350, 1332–1338.
Lake, B.M., Ullman, T.D., Tenenbaum, J.B., and Gershman, S.J. (2017). Building machines that learn and think like people. Behavioral and Brain Sciences, e253. doi:10.1017/S0140525X16001837.
Lamm, B., Keller, H., Teiser, J., Gudi, H., Yovsi, R.D., Freitag, C., Poloczek, S., Fassbender, I., Suhrke, J., Teubert, M., Vöhringer, I., Knopf, M., Schwarzer, G., and Lohaus, A. (2017). Waiting for the second treat: Developing culture-specific modes of self-regulation. Child Development. doi:10.1111/cdev.12847.
Landerl, K., Ramus, F., Moll, K., Lyytinen, H., Leppänen, P.H.T., Lohvansuu, K., O’Donovan, M., Williams, J., Bartling, J., Bruder, J., Kunze, S., Neuhoff, N., Tóth, D., Honbolygó, F., Csépe, V., Bogliotti, C., Iannuzzi, S., Chaix, Y., Démonet, J.-F., Longeras, E., Valdois, S., Chabernaud, C., Delteil-Pinton, F., Billard, C., George, F., Ziegler, J.C., Comte-Gervais, I., Soares-Boucaud, I., Gérard, C.-L., Blomert, L., Vaessen, A., Gerretsen, P., Ekkebus, M., Brandeis, D., Maurer, U., Schulz, E., van der Mark, S., Müller-Myhsok, B., and Schulte-Körne, G. (2013), Predictors of developmental dyslexia in European orthographies with varying complexity. Journal of Child Psychology and Psychiatry, 54(6), 686–694. doi:10.1111/jcpp.12029.
Lareau, A. (2011). Unequal Childhoods: Class, Race, and Family Life, with an Update a Decade Later. Berkeley: University of California Press.
Lauderdale, D.S., Knutson, K.L., Yan, L.L., Rathouz, P.J., Hulley, S.B., Sidney, S., and Liu, K. (2006). Objectively measured sleep characteristics among early-middle-aged adults: The Cardia Study. American Journal of Epidemiology, 164(1), 5–16.
Lave, J., and Wenger, E. (1991). Situated Learning: Legitimate Peripheral Participation. Cambridge, MA: Cambridge University Press.
Lawless, K.A., and Pellegrino, J.W. (2007). Professional development in integrating technology into teaching and learning: Knowns, unknowns, and ways to pursue better questions and answers. Review of Educational Research, 77(4), 575–614.
Lawrence, J.S., Marks, B.T., and Jackson, J.S. (2010). Domain identification predicts black students’ underperformance on moderately difficult tests. Motivation and Emotion, 34(2), 105–109.
Lazar, S.W., Kerr, C.E., Wasserman, R.H., Gray, J.R., Greve, D.N., Treadway, M.T., McGarvey, M., Quinn, B.T., Dusek, J.A., Benson, H., Rauch, S.L., Moore, C.I., and Fischl, B. (2005). Meditation experience is associated with increased cortical thickness. Neuroreport, 16(17), 1893–1897.
Lazowski, R.A., and Hulleman, C.S. (2016). Motivation interventions in education: A meta-analytic review. Review of Educational Research, 86(2), 602–640. doi:10.3102/0034654315617832.
Lee, C.D. (2001). Is October Brown Chinese? A cultural modeling activity system for underachieving students. American Educational Research Journal, 38(1), 97–141.
Lee, C.D. (2006). “Every good-bye ain’t gone”: Analyzing the cultural underpinnings of classroom talk. International Journal of Qualitative Studies in Education, 19(3), 305–327.
Lee, Y.J. (2012). Identity-based research in science education. In B.J. Fraser., K. Tobin., and C.J. McRobbie (Eds.), Second International Handbook of Science Education (pp. 34–45). Dordrecht, The Netherlands: Springer.
Lee, H.S., and Anderson, J.R. (2013). Student learning: What has instruction got to do with it? Annual Review of Psychology, 64, 445–469. doi:10.1146/annurev-psych-113011-143833.
Lee, C.D., Spencer, M.B., and Harpalani, V. (2003). Every shut eye ain’t sleep: Studying how people live culturally. Educational Researcher, 32(5), 6–13.
Lee, C.D., Goldman, S.R., Levine, S., and Magliano, J.P. (2016). Epistemic cognition in literary reasoning. In J. Green, W. Sandoval, and I. Braten (Eds.), Handbook of Epistemic Cognition (pp. 165–183). New York: Routledge.
Lehman, B., D’Mello, S., Strain, A., and Graesser, A. (2013). Inducing and tracking confusion with contradictions during complex learning. International Journal of Artificial Intelligence in Education, 22(1–2), 85–105.
Leichtman, M.D., Pillemer, D.B., Wang, Q., Koreishi, A., and Han, J.J. (2000). When Baby Maisy came to school: Mothers’ interview styles and preschoolers’ event memories. Cognitive Development, 15(1), 99–114.
Leisman, G. (2011). Brain networks, plasticity, and functional connectivities inform current directions in functional neurology and rehabilitation. Functional Neurology, Rehabilitation, and Ergonomics, 1, 315–356.
Leisman, G., Rodriguez-Rojas, R., Batista, K., Carballo, M., Morales, J.M., Iturria, Y., and Machado, C. (2014). Measurement of axonal fiber connectivity in consciousness evaluation. In Proceedings of the 2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel. Minneapolis, MN: IEEE. doi.org/10.13140/2.1.4845.7289.
Leisman, G., Mualem, R., and Mughrabi, S.K. (2015). The neurological development of the child with the educational enrichment in mind. Psicología Educativa, 21(2), 79–96. doi.org/10.1016/j.pse.2015.08.006.
Lemke, J.L. (1990). Talking Science: Language, Learning, and Values. Norwood, NJ: Ablex.
Lemke, J.L., Lecusay, R., Cole, M., and Michalchik, V. (2015). Documenting and Assessing Learning in Informal and Media-Rich Environments. Cambridge, MA: MIT Press.
Lenehan, M.E., Summers, M.J., Saunders, N.L., Summers, J.J., Ward, D.D., Ritchie, K., and Vickers, J.C. (2016). Sending your grandparents to university increases cognitive reserve: The Tasmanian Healthy Brain Project. Neuropsychology, 30(5), 525–531. doi:10.1037/neu0000249.
Lenhart, A. (2015). Teen, Social Media and Technology Overview 2015. Pew Research Center. Available: http://www.pewinternet.org/2015/04/09/teens-social-media-technology-2015/# [January 2018].
Lenroot, R.K., and Giedd, J.N. (2006). Brain development in children and adolescents: Insights from anatomical magnetic resonance imaging. Neuroscience Biobehavioral Review, 30(6), 718–729.
Lent, R.W., Brown, S.D., and Hackett, G. (2000). Contextual supports and barriers to career choice: A social cognitive analysis. Journal of Counseling Psychology, 47(1), 36–49.
Leopold, C., and Leutner, D. (2012). Science text comprehension: Drawing, main idea selection, and summarizing as learning strategies. Learning and Instruction, 22(1), 16–26. doi:10.1016/j.learninstruc.2011.05.005.
Leppänen, J.M., and Nelson, C.A. (2009). Tuning the developing brain to social signals of emotions. Nature Reviews Neuroscience, 10, 37-47.
Leppänen, P.H., Hamalainen, J.A., Guttorm, T.K., Eklund, K.M., Salminen, H., Tanskanen, A., and Lyytinen, H. (2012). Infant brain responses associated with reading-related skills before school and at school age. Neurophysiologie Clinique, 42(1–2), 35–41. doi:10.1016/j. neucli.2011.08.005.
Lepper, M.R., Corpus, J.H., and Iyengar, S.S. (2005). Intrinsic and extrinsic motivational orientations in the classroom: Age differences and academic correlates. Journal of Educational Psychology, 97(2), 184–196. doi.org/10.1037/0022-0618.104.22.168.
Levine, R. (1997). A Geography of Time. New York: Basic Books
Lewis, P.A., and Durrant, S.J. (2011). Overlapping memory replay during sleep builds cognitive schemata. Trends in Cognitive Sciences, 15(8), 343–351. doi:10.1016/j.tics.2011.06.004.
Leyens, J., Desert, M., Croizet, J., and Darcis, C. (2000). Stereotype threat: Are lower status and history of stigmatization preconditions of stereotype threat? Personality and Social Psychology Bulletin, 26(10), 1189–1199.
Libby, L.K., Shaeffer, E.M., and Eibach, R.P. (2009). Seeing meaning in action: A bidirectional link between visual perspective and action identification level. Journal of Experimental Psychology: General, 138(4), 503–516.
Lillie-Blanton, M., and Laveist, T. (1996). Race/ethnicity, the social environment, and health. Social Science and Medicine, 43(1), 83-91.
Lindstrom, J.H. (2016, unpublished). Critical Issues in Learning Disabilities Over the Past Decade: An Evolving Landscape. Paper commissioned by the Committee on the Science of Practice and Learning, National Academies of Sciences, Engineering, and Medicine, Washington, DC.
Linn, M.C., Lee, H.-S., Tinker, R., Husic, F., and Chiu, J.L. (2006). Teaching and assessing knowledge integration in science. Science, 313(5790), 1049–1050.
Linnenbrink, E.A. (2005). The dilemma of performance-approach goals: The use of multiple goal contexts to promote students’ motivation and learning. Journal of Educational Psychology, 97(2), 197–213.
Linnenbrink-Garcia, L., and Patall, E.A. (2016). Motivation. In E. Anderman and L. Corno (Eds.), Handbook of Educational Psychology (3rd ed., pp. 91-103). New York: Taylor & Francis.
Linnenbrink-Garcia, L., Tyson, D.F., and Patall, E.A. (2008). When are achievement goal orientations beneficial for academic achievement? A closer look at moderating factors. International Review of Social Psychology, 21(1–2), 19–70.
Linnenbrink-Garcia, L., Patall, E.A., and Messersmith, E. (2013). Antecedents and consequences of situational interest in science. British Journal of Educational Psychology, 83(4), 591–614.
Lipko-Speed, A., Dunlosky, J., and Rawson, K.A. (2014). Does testing with feedback help grade-school children learn key concepts in science? Journal of Applied Research in Memory and Cognition, 3(3), 171–176. doi:10.1016/j.jarmac.2014.04.002.
Livingstone, S., and Helsper, E. (2007). Gradations in digital inclusion: Children, young people and the digital divide. New Media and Society, 9(4), 671–696. doi:10.1177/1461444807080335.
Liyanagunawardena, T.R., and Williams S.A. (2016). Elderly learners and massive open online courses: A review. Interactive Journal of Medical Research, 5(1), e1. doi:10.2196/ijmr.4937.
LoBue, V. (2014). Measuring attentional biases for threat in children and adults. Journal of Visualized Experiments : JoVE, (92), 52190. http://doi.org/10.3791/52190.
Locke, E.A., Shaw, K.N., Saari, L.M., and Latham, G.P. (1981). Goal setting and task performance: 1969–1980. Psychological Bulletin, 90(1), 125–152.
Lodge, J. (2013). Session I—From the laboratory to the classroom: Translating the learning sciences for use in technology-enhanced learning. ACER Research Conferences, 16. Available: https://research.acer.edu.au/research_conference/RC2013/5august/16 [December 2017].
Loewenstein, J. (2017). Structure mapping and vocabularies for thinking. Topics in Cognitive Science, 9, 842–858.
Lombrozo, T. (2007). Simplicity and probability in causal explanation. Cognitive Psychology, 55(3), 232–257. doi:10.1016/j.cogpsych.2006.09.006.
Lombrozo, T. (2012). Explanation and abductive inference. In K.J. Holyoak and R.G. Morrison (Eds.), Oxford Handbook of Thinking and Reasoning (pp. 260–276). Oxford, UK: Oxford University Press. doi:10.1093/oxfordhb/9780199734689.013.0014.
Looi, C.K., Seow, P., Zhang, B.H., So, H.-J., and Chen, W. (2009). Leveraging mobile technology for sustainable seamless learning: A research agenda. British Journal of Educational Technology, 41(2), 154–169.
López, I.H. (2006). White by Law. New York: New York University Press.
Lorusso, M.L., Facoetti, A., Pescenti, S., Cattaneo, C., Molteni, M., and Gieger, G. (2004). Wider recognition in peripheral vision common to different subtypes of dyslexia. Vision Research, 44(20), 2413–2424.
Lövdén, M., Bodammer, N.C., Kühn, S., Kaufmann, J., Schütze, H., Tempelmann, C., Heinze, H.D., Düzel, E., Schmiedek, F., and Lindenberger, U. (2010). Experience-dependent plasticity of white-matter microstructure extends into old age. Neuropsychologia, 48(13), 3878–3883. doi:10.1016/j.neuropsychologia.2010.08.026.
Lovett, M.W., Lacerenza, L., De Palma, M., and Frijters, J.C. (2012). Evaluating the efficacy of remediation for struggling readers in high school. Journal of Learning Disabilities, 45(2), 151–169. doi:10.1177/0022219410371678.
Loyens, S.M.M., Magda, J. and Rikers, R.M.J.P. (2008). Self-directed learning in problem-based learning and its relationships with self-regulated learning. Educational Psychology Review, 20(4), 411–427. doi:10.1007/s10648-008-9082-7.
Low, L.K., and Cheng, H.-J. (2006). Axon pruning: An essential step underlying the developmental plasticity of neuronal connections. Philosophical Transactions of the Royal Society B: Biological Sciences, 361(1473), 1531–1544. doi:10.1098/rstb.2006.1883.
Lozano, S.C., Hard, B.M., and Tversky, B. (2006). Perspective taking promotes action understanding and learning. Journal of Experimental Psychology: Human Perception and Performance, 32(6), 1405–1421.
Lozoff, B. (2007). Iron deficiency and child development. Food and Nutrition Bulletin, 28(4 Suppl.), S560–S571.
Lozoff, B. (2011). Early iron deficiency has brain and behavior effects consistent with dopaminergic dysfunction. Journal of Nutrition, 141(4), 740S–746S.
Lozoff, B., Castillo, M., Clark, K.M., Smith, J.B., and Sturza, J. (2014). Iron supplementation in infancy contributes to more adaptive behavior at 10 years of age. The Journal of Nutrition, 144(6), 838–845. doi:10.3945/jn.113.182048.
Lubinski, D. (2000). Scientific and social significance of assessing individual differences: “Sinking shafts at a few critical points.” Annual Review of Psychology, 51, 405–444.
Lyall, A.E., Savadjiev, P., Shenton, M.E., and Kubicki, M. (2016). Insights into the brain: Neuroimaging of brain development and maturation. Journal of Neuroimaging in Psychiatry and Neurology, 1(1), 10–19. doi.org/10.17756/jnpn.2016-003.
Lyons, I.M., and Beilock, S.L. (2012). When math hurts: Math anxiety predicts pain network activation in anticipation of doing math. PLoS One, 7(10), e48076. doi.org/10.1371/journal.pone.0048076.
MacArthur, C.A., Konold, T.R., Glutting, J.J., and Alamprese, J.A. (2010). Reading component skills of learners in adult basic education. Journal of Learning Disabilities, 43(2), 108–121.
MacIver, D., and Epstein, J. (1993). Middle grades research: Not yet mature, but no longer a child. Elementary School Journal, 93, 519–533.
MacLeod, J. (1987). Ain’t No Making It: Aspirations and Attainment in a Low-Income Neighborhood. Boulder, CO: Westview Press.
MacLeod, J. (1995). Ain’t No Making It. Boulder, CO: Westview Press.
Maehr, M.L. (1984). Meaning and motivation: Toward a theory of personal investment. In R. Ames and C. Ames (Eds.), Research on Motivation in Education (vol. 1, pp. 39–73). San Diego, CA: Academic Press.
Maehr, M.L., and Midgley, C. (1996). Transforming School Cultures. Boulder, CO: Westview Press.
Maehr, M.L., and Zusho, A. (2009). Achievement goal theory: The past, present, and future. In K.R. Wentzel and A. Wigfield (Eds.), Handbook of Motivation in School (pp. 77–104). New York: Taylor Francis.
Magnusson, S.J., and Palincsar, A.S. (2005). Teaching to promote the development of scientific knowledge and reasoning about light at the elementary school level. In J. Bransford and S. Donovan (Eds.), How Students Learn: History, Mathematics, and Science in the Classroom (pp. 421–474). Washington, DC: National Academies Press.
Magsamen-Conrad, K., Dowd, J., Abuljadail, M., Alsulaiman, S., and Shareefi, A. (2015). Life-Span Differences in the Uses and Gratifications of Tablets: Implications for Older Adults. Media and Communications Faculty Publications, Paper 39. Available: http://scholarworks.bgsu.edu/smc_pub/39 [December 2017].
Maisog, J.M., Einbinder, E.R., Flowers, D.L., Turkeltaub, P.E., and Eden, G.F. (2008). A metaanalysis of functional neuroimaging studies of dyslexia. Annals of the New York Academy of Sciences, 1145, 237–259. doi:10.1196/annals.1416.024.
Maki, Y., Kawasaki, Y., Demiray, B., and Janssen, S.M. (2015). Autobiographical memory functions in young Japanese men and women. Memory, 23(1), 11–24.
Malone, T.W. (1981). Toward a theory of intrinsically motivating instruction. Cognitive Science, 5(4), 333–369.
Malone, T., and Lepper (1987). Making learning fun: A taxonomy of intrinsic motivations for learning. In R. Snow and M.J. Farr (Eds.), Aptitude, Learning, and Instruction Volume 3: Conative and Affective Process Analyses. Hillsdale, NJ: Lawrence Earlbaum Associates.
Mandler, J.M. (1988). How to build a baby: On the development of an accessible representational system. Cognitive Development, 3(2), 113–136.
Mangels, J.A., Butterfield, B., Lamb, J., Good, C., and Dweck, C.S. (2006). Why do beliefs about intelligence influence learning success? A social cognitive neuroscience model. Social Cognitive and Affective Neuroscience, 1(2), 75–86.
Margaryan, A., Littlejohn, A., and Milligan, C. (2013). Self-regulated learning in the workplace: Strategies and factors in the attainment of learning goals. International Journal of Training and Development, 17(4), 245–259. doi:10.1111/ijtd.12013.
Markus, H.R., and Kitayama, S. (1991). Culture and the self: Implications for cognition, emotion, and motivation. Psychological Review, 98(2), 224–253. doi.org/10.1037/0033-295X.98.2.224.
Marsh, E.J., Fazio, L.K., and Goswick, A.E. (2012). Memorial consequences of testing school-aged children. Memory, 20(8), 899–906. doi:10.1080/09658211.2012.708757.
Martens, A., Johns, M., Greenberg, J., and Schimel, J. (2006). Combating stereotype threat: The effect of self-affirmation on women’s intellectual performance. Journal of Experimental Social Psychology, 42(2), 236–243. doi.org/10.1016/j.jesp.2005.04.010.
Marvel, C.L., and Desmond, J.E. (2010). Functional topography of the cerebellum in verbal working memory. Neuropsychology Review, 20(3), 271–279.
Master, A., Cheryan, S., and Meltzoff, A.N. (2015). Computing whether she belongs: Stereotypes undermine girls’ interest and sense of belonging in computer science. Journal of Educational Psychology, 108(3), 424–437.
Maurer, T.J., Weiss, E.W., and Barbeite, F.G. (2003). A model of involvement in work-related learning and development activity: The effects of individual, situational, motivational, and age variables. Journal of Applied Psychology, 88(4), 707–724.
Mawdsley, M., Grasby, K., and Talk, A. (2014). The effect of sleep on item recognition and source memory recollection among shift-workers and permanent day-workers. Journal of Sleep Research, 23(5), 538–544.
Mayer, R.E. (2001). Multimedia Learning. New York: Cambridge University Press
Mayer, R.E. (2004). Should there be a three-strikes rule against pure discovery learning? The case for guided methods of instruction. American Psychologist, 59(1), 14–19.
Mayer, R.E. (2009). Multimedia Learning (2nd ed.). New York: Cambridge University Press.
Mayer, R.E. (2014). Computer Games for Learning: An Evidence-based Approach. Cambridge, MA: MIT Press.
Mayer, R.E. (2016). What should be the role of computer games in education? Policy Insights from the Behavioral and Brain Sciences, 3(1), 20–26. doi:10.1177/2372732215621311.
Mayer, R.E., and Johnson, C.I. (2010). Adding instructional features that promote learning in a game-like environment. Journal of Educational Computing Research, 42(3), 241–265. doi:10.2190/EC.42.3.a.
Mazur, E. (1997). Peer Instruction: A User’s Manual. Upper Saddle River, NJ: Prentice Hall.
McCaslin, M., and Burross, H.L. (2011). Research on individual differences within a sociocultural perspective: Co-regulation and adaptive learning. Teachers College Record, 113(2), 325–349.
McClelland, M.M., Cameron, C.E., Connor, C.M., Farris, C.L., Jewkes, A.M., and Morrison, F.J. (2007). Links between behavioral regulation and preschoolers’ literacy, vocabulary, and math skills. Developmental Psychology, 43(4), 947–959.
McCollough, C. (1965). Color adaptation of edge-detectors in the human visual system. Science, 149(3688), 1115–1116.
McDaniel, M.A., and Donnelly, C.M. (1996). Learning with analogy and elaborative interrogation. Journal of Educational Psychology, 88(3), 508–519. doi:10.1037/0022-0622.214.171.1248.
McDermott, R.P., and Varenne, H. (1996). Culture, development, disability. In R. Jessor, A. Colby, and R.A. Shweder (Eds.), Ethnograpny and Human Development. Chicago: The University of Chicago Press.
McGinnis, D., Goss, R., Tessmer, C., and Zelinski, E.M. (2008). Inference generation in young, young-old and old-old adults: Evidence for semantic architecture stability. Applied Cognitive Psychology, 22(2), 171–192.
McKoon, G., and Ratcliff, R. (1992). Inference during reading. Psychological Review, 99(3), 440–466.
McKown, C., and Strambler, M.J. (2009). Developmental antecedents and social and academic consequences of stereotype-consciousness in middle childhood. Child Development, 80(6), 1643–1659. doi:10.1111/j.1467-8624.2009.01359.x.
McNamara, D.S. (2004). SERT: Self-explanation reading training. Discourse Processes, 38(1), 1–30. doi:10.1207/s15326950dp3801_1.
McNamara, D.S., Jacovina, M.E., and Allen, L.K. (2015). Higher order thinking in comprehension. In P. Afflerbach (Ed.), Handbook of Individual Differences in Reading: Text and Context (pp. 164–176). New York: Taylor and Francis, Routledge.
McNaughten, D., and Gabbard, C. (1993). Physical exertion and immediate mental performance of sixth-grade children. Perceptual and Motor Skills, 77(3 Suppl.), 1155–1159.
McQueen, A., and Klein, W.M.P. (2006). Experimental manipulations of self-affirmation: A systematic review. Self and Identity, 5(4), 289–354. doi.org/10.1080/15298860600805325.
Means, B., Toyama, Y., Murphy, R., Bakia, M., and Jones, K. (2010). Evaluation of Evidence Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies. Monograph. Available: http://www.ed.gov/about/offices/list/opepd/ppss/reports.html [November 2017].
Means, B., Toyama, Y., Murphy, R., and Baki, M. (2013). The effectiveness of online and blended learning: A meta-analysis of the empirical literature. Teachers College Record, 115, 1–47. Available: https://www.sri.com/sites/default/files/publications/effectiveness_of_online_and_blended_learning.pdf [December 2017].
Means, B., Shear, L., and Roschelle, J. (2015). Using Technology and Evidence to Promote Cultures of Educational Innovation: The Example of Science and Mathematics Education. Menlo Park, CA: SRI International.
Means, B., Murphy, R., and Shear, L. (2017). Pearson | SRI Series on Building Efficacy in Learning Technologies (Vol. 1). London, UK: Pearson.
Medaglia, J.D., Lynall, M.E., and Bassett, D.S. (2015). Cognitive network neuroscience. Journal of Cognitive Neuroscience, 27(8), 1471–1491.
Medimorecc, M.A., Pavlik, P., Olney, A., Graesser, A.C., and Risko, E.F. (2015). The language of instruction: Compensating for challenge in lectures. Journal of Educational Psychology, 107(4), 971–990.
Medin, D.L., and Bang, M. (2013). Culture in the classroom. Phi Delta Kappan, 95(4), 64–67.
Medin, D.L., and Bang, M. (2014). Who’s Asking? Native Science, Western Science and Science Education. Cambridge, MA: MIT Press.
Meeusen, R., Piacentini, M.F., and De Meirleir, K. (2001). Brain microdialysis in exercise research. Sports Medicine, 31(14), 965–983.
Mellard, D.F., and Patterson, M.B. (2008). Contrasting adult literacy learners with and without specific learning disabilities. Remedial and Special Education, 29(3), 133–144. doi.org/10.1177/0741932508315053.
Metcalfe, B. (2013). Metcalfe’s law after 40 years of ethernet. Computer, 46(12), 26–31. doi:10.1109/MC.2013.374.
Meyer, A.N.D., and Logan, J.M. (2013). Taking the testing effect beyond the college freshman: Benefits for lifelong learning. Psychology and Aging, 28(1), 142–147. doi:10.1037/a003089010.1037/a0030890.supp.
Meyer, A., Rose, D.H., and Gordon, D. (2014). Universal Design for Learning: Theory and Practice. Wakefield, MA: CAST Professional.
Michaels, S., and O’Connor, C. (2012). Talk Science Primer. Available: https://inquiryproject.terc.edu/shared/pd/TalkScience_Primer.pdf [July 2018].
Middleton, M.J., and Midgley, C. (1997). Avoiding the demonstration of lack of ability: An unexplored aspect of goal theory. Journal of Educational Psychology, 89(4), 710–718.
Midgley, C., Arunkumar R., and Urdan, T. (1996). If I don’t do well tomorrow, there’s a reason: Predictors of adolescents’ use of academic self-handicapping behavior. Journal of Educational Psychology, 88(3), 423–434. doi.org/10.1037/0022-06126.96.36.1993.
Midgley, C., Kaplan, A., and Middleton, M.J. (2001). Performance approach goals: Good for what, for whom under what circumstances, and at what cost? Journal of Educational Psychology, 93(1), 77–86. doi.org/10.1037/0022-06188.8.131.52.
Mihalca, L., and Miclea, M. (2007). Current trends in educational technology research. Cognition, Brain, Behavior, 9(1), 115–129.
Milgram, P., and Kishino, A.F. (1994). Taxonomy of mixed reality visual displays. IEICE Transactions on Information Systems, E77-D(12), 1321–1329. Available: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.102.4646&rep=rep1&type=pdf [December 2017].
Miron, G., Huerta, L., Cuban, L., Horvitz, B., Gulosino, C., Rice, J.K., and Shafer, S.R. (2013). Virtual Schools in the U.S. 2013: Politics, Performance, Policy, and Research Evidence. Boulder, CO: National Education Policy Center. Available: http://nepc.colorado.edu/publication/virtual-schools-annual-2013 [December 2017].
Mislevy, R.J., Steinberg, L.S., and Almond, R.G. (2003). On the structure of educational assessments. Measurement: Interdisciplinary Research and Perspectives, 1(1), 3–62.
Mislevy, R.J., Steinberg, L.S., Almond, R.G., and Lukas, J.F. (2006). Concepts, terminology, and basic models of evidence-centered design. In D.M. Williamson, I.I. Bejar, and R.J. Mislevy (Eds.), Automated Scoring of Complex Tasks in Computer-Based Testing (pp. 15–48). Mahwah, NJ: Erlbaum.
Mitchell, K.J., Johnson, M.K., Raye, C.L., Mather, M., and D’Esposito, M. (2000). Aging and reflective processes of working memory: Binding and test load deficits. Psychological Aging, 15(3), 527–541.
Mitrovic, A., Martin, B., and Suraweera, P. (2007). Intelligent tutors for all: The constraint-based approach. IEEE Intelligent Systems, 22(4), 38–45.
Miyake, A., Kost-Smith, L.E., Finkelstein, N.D., Pollock, S.J., Cohen, G.L., and Ito, T.A. (2010). Reducing the gender achievement gap in college science: A classroom study of values affirmation. Science, 330(6008), 1234–1237. doi:10.1126/science.1195996.
Moeller, B., and Reitzes, T. (2011). Education Development Center, Inc. (EDC). Integrating Technology with Student-Centered Learning. Quincy, MA: Nellie Mae Education Foundation.
Moffitt, T.E., Arseneault, L., Belsky, D., Dickson, N., Hancox, R.J., Harrington, H., Houts, R., Poulton, R., Roberts, B.W., Ross, S., Sears, M.R., Thomson, W.M., and Caspi, A. (2011). A gradient of childhood self-control predicts health, wealth, and public safety. Proceedings of the National Academy of Sciences of the United States of America, 108(7), 2693–2698. doi:10.1073/pnas.1010076108.
Moje, E.B., Ciechanowski, K.M., Kramer, K., Ellis, L., Carrillo, R., and Collazo, T. (2004). Working toward third space in content area literacy: An examination of everyday funds of knowledge and discourse. Reading Research Quarterly, 39(1), 38–70.
Molfese, D. (2000). Predicting dyslexia at 8 years of age using neonatal brain responses. Brain & Language, 72(3), 238–245.
Moll, L., Amanti, C., Neff, D., and Gonzalez, N. (1992). Funds of knowledge for teaching: Using a qualitative approach to connect homes and classrooms. Theory Into Practice, XXXI(2), 132–141.
Moller, A.C., Deci, E.L., and Ryan, R.M. (2006). Choice and ego-depletion: The moderating role of autonomy. Personality and Social Psychology Bulletin, 32(8), 1024–1036.
Moore, M.G., and Kearsley, G. (1996). Distance Education: A Systems View. New York: Wadsworth.
Moos, D., and Rongdal, A. (2012). Self-regulated learning in the classroom: A literature review on the teacher’s role. Education Research International, Article ID 423284. Available: https://www.hindawi.com/journals/edri/2012/423284 [December 2017]. doi.org/10.1155/2012/423284.
Moreno, R., and Mayer, R.E. (2007). Interactive multimodal learning environments. Educational Psychology Review, 19(3), 309–326.
Morgeson, F.P., and Humphrey, S.E. (2006). The Work Design Questionnaire (WDQ), Developing and validating a comprehensive measure for assessing job design and the nature of work. Journal of Applied Psychology, 91(6), 1321–1339. doi.org/10.1037/0021-9010.91.6.1321.
Morrell, E. (2008). Six summers of YPAR: Learning, action and change in urban education. In J. Cammarota and M. Fine (Eds.), Revolutionizing Education: Youth Participatory Action Research in Motion (pp. 155–184). New York: Routledge.
Morrell, R.W., Mayhorn, C.B., and Echt, K.V. (2004). Why older adults use or do not use the Internet. In D.C. Burdick and S. Kwon (Eds.), Gerotechnology: Research and Practice in Technology and Aging (pp. 71–85). New York: Springer..
Morris, M.W., and Peng, K. (1994). Culture and cause: American and Chinese attributions for social and physical events. Journal of Personality and Social Psychology, 67(6), 949–971. Available: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.320.1966&rep=rep1&type=pdf [December 2017].
Morris, M.W., Chiu, C., and Liu, Z. (2015). Polycultural psychology. Annual Reviews of Psychology, 66, 631–659. doi.org/10.1146/annurev-psych-010814-015001.
Moscovitch, M. (1992). Memory and working-with-memory: A component process model based on modules and central systems. Journal of Cognitive Neuroscience, 4(3), 257–267. doi:10.1162/jocn.19184.108.40.2067.
Moss, P., and Haertel, E. (2016). Engaging methodological pluralism. In D. Gitomer and C. Bell (Eds.), Handbook of Research on Teaching (5th ed., pp.127–248). Washington, DC: American Educational Research Association.
Mourey, J.A., Lam, B.C.P., and Oyserman, D. (2015). Consequences of cultural fluency. Social Cognition, 33(4), 308–344.
Mozolic, J.L., Hugenschmidt, C.E., Peiffer, A.M., and Laurienti, P.J. (2012). Multisensory integration and aging. In M.M. Murray and M.T. Wallace (Eds.), The Neural Bases of Multisensory Processes (pp. 381–394). Boca Raton, FL: CRC Press/Taylor & Francis.
Mueller, C.M., and Dweck, C.S. (1998). Praise for intelligence can undermine children’s motivation and performance. Journal of Personality and Social Psychology, 75(1), 33–52.
Mueller, P.A., and Oppenheimer, D.M. (2014). The pen is mightier than the keyboard. Psychological Science, 25(6), 1159–1168. doi:10.1177/0956797614524581.
Mullen, M.K. (1994). Earliest recollections of childhood: A demographic analysis. Cognition, 52(1), 55–79.
Mullins, D., Rummel, N., and Spada, H. (2011). Are two heads always better than one? Differential effects of collaboration on students’ computer-supported learning in mathematics. International Journal of Computer-Supported Collaborative Learning, 6(3), 421–443.
Murayama, K., and Kuhbandner, C. (2011). Money enhances memory consolidation—but only for boring material. Cognition, 119(1), 120–124. doi:10.1016/j.cognition.2011.01.001.
Murayama, K., Pekrun, R., Lichtenfeld, S., and Vom Hofe, R. (2013). Predicting long-term growth in students’ mathematics achievement: the unique contributions of motivation and cognitive strategies. Child Developoment, 84(4), 1475–1490. doi 10.1111/cdev.12036.
Murayama, K., Matsumoto, M., Izuma, K., Sugiura, A., Ryan, R.M., Deci, E.L., and Matsumoto K. (2015). How self-determined choice facilitates performance: A key role of the ventromedial prefrontal cortex. Cerebral Cortex, 25(5), 1241–1251. doi:10.1093/cercor/bht317.
Myhre, J.W., Mehl, M.R., and Glisky, E.L. (2017). Cognitive benefits of online social networking for healthy older adults. Journals of Gerontology. Series B: Psychological Sciences and Social Sciences, 72(5), 752–760. doi:10.1093/geronb/gbw025.
Myles-Worsley, M., Johnston, W.A., and Simons, M.A. (1988). The influence of expertise on X-ray image processing. Journal of Experimental Psychology: Learning, Memory, and Cognition, 14(3), 553–557.
Nader, K. (2003). Memory traces unbound. Trends in Neurosciences, 26(2), 65–72.
Nash, J., Collins, B., Loughlin, S.E., Solbrig, M., Harvey, R., Krishnan-Sarin, S., Unger, J., Miner, C., Rukstalis, M., Shenassa, E., Dubé, C., and Spirito, A. (2003). Training the transdisciplinary scientist: A general framework applied to tobacco use behavior. Nicotine and Tobacco Research, 5(Suppl. 1), S41–S53.
Nasir, N.S. (2002). Identity, goals, and learning: Mathematics in cultural practice. Mathematical Thinking and Learning, 4(2–3), 213–247.
Nasir, N.S., and de Royston, M. (2013). Power, identity, and mathematical practices outside and inside school. Journal of Research in Mathematics Education, 44(1), 264–287.
Nasir, N.S., and Hand, V.M. (2006). Exploring Sociocultural perspectives on race, culture, and learning. Review of Educational Research, 76, 449–475.
Nasir, N.S., Rosenbery, A.S., Warren, B., and Lee, C.D. (2006). Learning as a cultural process: Achieving equity through diversity. In R.K. Sawyer (Ed.), The Cambridge Handbook of the Learning Sciences (pp. 489-504). New York: Cambridge University Press.
Nation, K., Adams, J.W., Bowyer-Crane, C.A., and Snowling, M.J. (1999). Working memory deficits in poor comprehenders reflect underlying language impairments. Journal of Experimental Child Psychology, 73(2), 139–158. doi:10.1006/jecp.1999.2498.
National Academies of Sciences, Engineering, and Medicine. (2017). Promoting the Educational Success of Children and Youth Learning English: Promising Futures. Washington, DC: The National Academies Press.
National Association for the Education of Young Children and Fred Rogers Center. (2012). Key Messages of the NAEYC/Fred Rogers Center Position Statement on Technology and Interactive Media in Early Childhood Programs. Available: https://www.naeyc.org/files/naeyc/file/positions/KeyMessages_Technology.pdf [December 2017].
National Institute for Literacy. (2008). Investigating the Language and Literacy Skills Required for Independent Online Learning. Washington, DC: Author. Available: http://eric.ed.gov/PDFS/ED505199.pdf [December 2017].
National Research Council. (1998). Preventing Reading Difficulties in Young Children. Washington, DC: National Academy Press.
National Research Council. (1999b). How People Learn: Brain, Mind, Experience, and School. Washington, DC: National Academy Press.
National Research Council. (1999c). How People Learn: Bridging Research and Practice. Washington, DC: National Academy Press.
National Research Council. (2000). How People Learn: Brain, Mind, Experience, and School: Expanded Edition. Washington, DC: National Academy Press.
National Research Council. (2001a). Knowing What Students Know: The Science and Design of Educational Assessment. Washington, DC: National Academy Press.
National Research Council. (2001b). Adding It Up: Helping Children Learn Mathematics. Washington, DC: National Academy Press.
National Research Council. (2005). How Students Learn: History, Mathematics, and Science in the Classroom. Washington, DC: The National Academies Press.
National Research Council. (2006). America’s Lab Report: Investigations in High School Science. Washington, DC: The National Academies Press.
National Research Council. (2007). Taking Science to School: Learning and Teaching Science in Grades K–8. Washington, DC: The National Academies Press.
National Research Council. (2009). Learning Science in Informal Environments: People, Places, and Pursuits. Washington, DC: The National Academies Press.
National Research Council. (2011a). Incentives and Test-based Accountability in Education. Washington, DC: The National Academies Press.
National Research Council. (2011b). Mathematics Learning in Early Childhood: Paths toward Excellence and Equity. Washington, DC: The National Academies Press.
National Research Council. (2011c). Assessing 21st Century Skills: Summary of a Workshop. Washington, DC:The National Academies Press. doi:10.17226/13215.
National Research Council. (2012a). Discipline-Based Education Research: Understanding and Improving Learning in Undergraduate Science and Engineering. Washington, DC: The National Academies Press.
National Research Council. (2012b). Education for Life and Work: Developing Transferable Knowledge and Skills in the 21st Century. Washington, DC: The National Academies Press.
National Research Council. (2012c). Improving Adult Literacy Instruction: Options for Practice and Research. Washington, DC: The National Academies Press.
National Research Council. (2014). Developing Assessments for the Next Generation Science Standards. Washington, DC: The National Academies Press.
National Research Council and Institute of Medicine. (2009). Preventing Mental, Emotional, and Behavioral Disorders Among Young People: Progress and Possibilities. Washington, DC: The National Academies Press.
National Research Council and Institute of Medicine. (2015). Transforming the Workforce for Children Birth Through Age 8: A Unifying Foundation. Washington, DC: The National Academies Press.
National Scientific Council on the Developing Child. (2006). Early Exposure to Toxic Substances Damages Brain Architecture. Working Paper No. 4. Available: https://developingchild.harvard.edu/resources/early-exposure-to-toxic-substances-damages-brain-architecture [December 2017].
National Sleep Foundation. (2006).Teens and Sleep. Washington, DC: National Sleep Foundation. Available:http://www.sleepfoundation.org/article/sleep-america-polls/2006-teens-and-sleep [June 2018].
National Sleep Foundation. (2008). 2008 Sleep in America Poll. Available: https://sleepfoundation.org/sites/default/files/2008%20POLL%20SOF.PDF [December 2017].
Naveh-Benjamin, M., and Kilb, A. (2012). How the measurement of memory processes can affect memory performance: The case of remember/know judgments. Journal of Experimental Psychology: Learning, Memory and Cognition, 38(1), 194–203.
Naveh-Benjamin, M., Brav, T.K., and Levy, O. (2007). The associative memory deficit of older adults: The role of strategy utilization. Psychology and Aging, 22(1), 202–208.
Nelson, C.A., Zeanah, C.H., Fox, N.A., Marshall, P.J., Smyke, A.T., and Guthrie, D. (2007). Cognitive recovery in socially deprived young children: The Bucharest Early Intervention Project. Science, 318(5858), 1937–1940.
Nelson, C.A., Furtado, E.A., Fox, N.A., and Zeanah, C.H. (2009). The deprived human brain. American Scientist, 97, 222–229.
Nelson, C.A., Fox, N.A., and Zeanah, C.H. (2014). Romania’s Abandoned Children: Deprivation, Brain Development and the Struggle for Recovery. Cambridge, MA: Harvard University Press.
Nelson, K. (1974). Concept, word, and sentence: Interrelations in acquisition and development. Psychological Review, 81(4), 267–285. doi.org/10.1037/h0036592.
Neuhoff, N., Bruder, J., Bartling, J., Warnke, A., Remschmidt, H., Müller-Myhsok, B., and Schulte-Körne, G. (2012). Evidence for the late MMN as a neurophysiological endophenotype for dyslexia. PLoS One, 7(5), 1–7. doi:10.1371/journal.pone.0034909.
Nevarez, M.D., Rifas-Shiman, S.L., Kleinman, K.P., Gillman, M.W., and Taveras, E.M. (2010). Associations of early life risk factors with infant sleep duration. Academic Pediatrics, 10(3), 187–193.
Nevo, E., and Breznitz, Z. (2011). Assessment of working memory components at 6 years of age as predictors of reading achievements a year later. Journal of Experimental Child Psychology, 109(1), 73–90. doi.org/10.1016/j.jecp.2010.09.010.
Newman, L., Wagner, M., Cameto, R., and Knokey, A. (2009). The Post-High School Outcomes of Youth with Disabilities up to 4 Years after High School: A Report from the National Longitudinal Transition Study-2 (NLTS2). NCSER 2009-3017. Menlo Park, CA: SRI International.
Newman, L., Wagner, M., Cameto, R., Knokey, A.M., and Shaver, D. (2010). Comparisons across Time of the Outcomes of Youth with Disabilities up to 4 Years after High School. Menlo Park, CA: SRI International. Available: www.nlts2.org/reports/2010_09/nlts2_report_2010_09_complete.pdf [December 2017].
Ng, T.W.H., and Feldman, D.C. (2008). The relationship of age to ten dimensions of job performance. Journal of Applied Psychology, 93(2), 392–423. doi.org/10.1037/0021-9010.93.2.392.
Nicholls, J.G. (1984). Achievement motivation: Conceptions of ability, subjective experience, task choice and performance. Psychological Review, 91(3), 328–346. doi.org/10.1037/0033-295X.91.3.328.
Nielsen, M., Haun, D., Kärtner, J., and Legare, C.H. (2017). The persistent sampling bias in developmental psychology: A call to action. Journal of Experimental Child Psychology, 162, 31–38. doi.org/10.1016/j.jecp.2017.04.017.
Nile, E., and Van Bergen, P. (2015). Not all semantics: Similarities and differences in reminiscing function and content between Indigenous and non-Indigenous Australians. Memory, 23(1), 83–98.
Nisbett, R.E., Peng, K., Choi, I., and Norenzayan, A. (2001). Culture and systems of thought: Holistic versus analytic cognition. Psychological Review, 108(2), 291–310.
Nobel, K.G., Engelhardt, L.E., Brito, N.H., Mack, L.J., Nail, E.J., Angal, J., Barr, R., Fifer, W.P., Elliott, A.J., and in collaboration with the PASS Network. (2015). Socioeconomic disparities in neurocognitive development in the first two years of life. Developmental Psychobiology, 57, 535–551.
Nokes, J.D., Dole, J.A., and Hacker, D.J. (2007). Teaching high school students to use heuristics while reading historical texts. Journal of Educational Psychology, 99(3), 492–504.
Nokes-Malach, T.J., VanLehn, K., Belenky, D.M., Lichtenstein, M., and Cox, G. (2013). Coordinating principles and examples through analogy and self-explanation. European Journal of Psychology of Education, 28(4), 1237–1263. doi:10.1007/s10212-012-0164-z.
Norman, D.A. (2013), The Design of Everyday Things: Revised and Expanded Edition. New York: Basic Books.
Norton, E.S., Beach, S.D., and Gabrieli, J.D. (2015). Neurobiology of dyslexia. Current Opinion in Neurobiology, 30, 73–78. doi:10.1016/j.conb.2014.09.007.
Núñez, R., and Cooperrider, K. (2013). The tangle of space and time in human cognition. Trends in Cognitive Sciences, 17(5), 220–229.
Nye, B.D., Graesser, A.C., and Hu, X. (2014). AutoTutor and family: A review of 17 years of natural language tutoring. International Journal of Artificial Intelligence, 24(4), 427–469.
OECD. (2013). PISA 2015: Draft Collaborative Problem Solving Framework. Available: https://www.oecd.org/pisa/pisaproducts/Draft%20PISA%202015%20Collaborative%20Problem%20Solving%20Framework%20.pdf [December 2017].
OECD. (2015). PISA 2015 Released Field Trial Cognitive Items. Available: www.oecd.org/pisa/pisaproducts/PISA2015-Released-FT-Cognitive-Items.pdf [December 2017].
Öhman, A., and Mineka, S. (2001). Fears, phobia, and preparedness: Toward an evolved module of fear and fear learning. Psychological Review, 108(3), 483–522.
Ojalehto, B.L., and Medin, D. (2015a). Emerging trends in culture and concepts. In R. Scott and S. Kosslyn (Eds.), Emerging Trends in the Social and Behavioral Sciences: An Interdisciplinary, Searchable, and Linkable Resource. New York: John Wiley & Sons.
Ojalehto, B.L., and Medin, D. (2015b). Perspectives on culture and concepts. Annual Review of Psychology, 66, 249–275. doi.org/10.1146/annurev-psych-010814-015120.
Ojalehto, B., and Medin, D.L. (2015c). Theory of mind in the Pacific: Reasoning across cultures. Ethos, 43(1), E5–E8.
Okonofua, J.A., Paunesku, D., and Walton, G.M. (2016). Brief intervention to encourage empathic discipline cuts suspension rates in half among adolescents. Proceedings of the National Academy of Sciences of the United States of America, 113(9), 5221–5226.
Old, S.R., and Naveh-Benjamin, M. (2012). Age differences in memory for names: The effect of prelearned semantic associations. Psychology and Aging, 27(2), 462–473.
Oliver, M., and Conole, G. (2003). Evidence-based practice and e-learning in higher education: Can we and should we? Research Papers in Education, 18(4), 385–397. doi:10.1080/026 7152032000176873.
O’Neil, H.F., and Perez, R.S. (2008). Computer Games and Team and Individual Learning. Boston, MA: Elsevier.
Ornstein, P.A., Coffman, J.L., Grammer, J.K., San Souci, P.P., and McCall, L.E. (2010). Linking the classroom context and the development of children’s memory skills. In J. Meece and J. Eccles (Eds.), Handbook of Research on Schools, Schooling, and Human Development (pp. 42–59). New York: Routledge.
Osborne, R., and Freyberg, P. (1985). Learning in Science: The Implications of Children’s Science. Auckland, New Zealand: Heinneman.
Osborne, J., Erduran, S., and Simon, S. (2004). Enhancing the quality of argumentation in school science. Journal of Research in Science Teaching, 41(10), 994–1020.
Oyserman, D. (2011). Culture as situated cognition: Cultural mindsets, cultural fluency, and meaning making. European Review of Social Psychology, 22(1), 164–214.
Oyserman, D., Gant, L., and Ager, J. (1995). A socially contextualized model of African American identity: Possible selves and school persistence. Journal of Personality and Social Psychology, 69(6), 1216–1232. doi.org/10.1037/0022-35220.127.116.116.
Oyserman, D., Sorensen, N., Reber, R., and Chen, S.X. (2009). Connecting and separating mindsets: Culture as situated cognition. Journal of Personality and Social Psychology, 97(2), 217–235. doi:10.1037/a0015850.
Oyserman, D., Destin, M., and Novin, S. (2015). The context-sensitive future self: Possible selves motivate in context, not otherwise. Self and Identity, 14(2), 173–188. doi:10.1080/1529 8868.2014.965733.
Ozgungor, S., and Guthrie, J.T. (2004). Interactions among elaborative interrogation, knowledge, and interest in the process of constructing knowledge from text. Journal of Educational Psychology, 96(3), 437–443. doi:10.1037/0022-0618.104.22.1687.
Pacer, M., and Lombrozo, T. (2017). Occam’s razor cuts to the root: Simplicity in causal explanation. Journal of Experimental Psychology: General, 146(12), 1761–1780.
Packer, M.J. (1985). Hermeneutic inquiry in the study of human conduct. American Psychologist, 40(10), 1081–1093. doi.org/10.1037/0003-066X.40.10.1081.
Palincsar, A.S. (2013). Reciprocal teaching. In J. Hattie and E. M. Anderman (Eds.), International Guide to Student Achievement (pp. 369–371). New York: Routledge/Taylor and Francis Group.
Palincsar, A.S., and Brown, A.L. (1984). Reciprocal teaching of comprehension-fostering and comprehension-monitoring activities. Cognition and Instruction, 1(2), 117–175. doi:10.1207/s1532690xci0102_1.
Palincsar, A.S., and Magnusson, S.J. (2001). The interplay of firsthand and text-based investigations to model and support the development of scientific knowledge and reasoning. In S. Carver and D. Klahr (Eds.), Cognition and Instruction: Twenty Five Years of Progress (pp. 151–194). Mahwah, NJ: Lawrence Erlbaum.
Panadero, E. (2017). A review of self-regulated learning: Six models and directions for research. Frontiers in Psychology, 8, 422. doi:10.3389/fpsyg.2017.00422.
Panksepp, J., and Biven, L. (2012). The Archaeology of the Mind: Neuroevolutionary Origins of Human Emotions. New York: W.W. Norton & Company.
Paris, D. (2012). Culturally sustaining pedagogy a needed change in stance, terminology, and practice. Educational Researcher, 41(3), 93–97.
Paris, S., and Upton, L. (1976). Children’s memory for inferential relationships in prose. Child Development, 47(3), 660–668. Available: http://www.jstor.org/stable/1128180 [December 2017].
Park, D.C., and Gutchess, A.H. (2002). Aging, cognition, and culture: A neuroscientific perspective. Neuroscience & Biobehavioral Reviews, 26(7), 859–867.
Park, D.C., and Reuter-Lorenz, P.A. (2009). The adaptive brain: Aging and neurocognitive scaffolding. Annual Review of Psychology, 60, 173–196. doi:10.1146/annurev. psych.59.103006.093656.
Park, D.C., Lautenschlager, G., Hedden, T., Davidson, N.S., Smith, A.D., and Smith, P.K. (2002). Models of visuospatial and verbal memory across the adult life span. Psychology and Aging, 17(2), 299–320.
Park, D.C., Lodi-Smith, J., Drew, L., Haber, S., Hebrank, A., Bischof, G.N., and Aamodt, W. (2014). The impact of sustained engagement on cognitive function in older adults. The Synapse Project. Psychological Science, 25(1), 103–112.
Parsons, S.A., Metzger, S.R., Askew, J., and Carswell, A. (2011). Teaching against the grain: One Title I school’s journey toward project-based literacy instruction. Literacy Research and Instruction, 50(1), 1–14. doi.org/10.1080/19388070903318413.
Pascarella, E., Pierson, C., Wolniak, G., and Terenzini, P. (2004). First-generation college students: Additional evidence on college experiences and outcomes. Journal of Higher Education, 75(3), 249–284.
Pashler, H., Bain, P.M., Bottge, B.A., Graesser, A., Koedinger, K., McDaniel, M., and Metcalfe, J. (2007). Organizing Instruction and Study to Improve Student Learning: A Practice Guide. NCER 2007-2004. Washington, DC: Institute of Education Sciences.
Pashler, H., McDaniel, M., Rohrer, D., and Bjork, R. (2008). Learning styles concepts and evidence. Psychological Science in the Public Interest, 9(3), 105–119.
Pasnik, S., and Llorente, C. (2013). Preschool Teachers Can Use a PBS KIDS Transmedia Curriculum Supplement to Support Young Children’s Mathematics Learning: Results of a Randomized Controlled Trial. Waltham, MA: Center for Technology in Learning and Menlo Park, CA: SRI International.
Pasnik, S., Llorente, C., Hupert, N., and Moorthy, S. (2015). Children’s Educational Media 2010–2015: A Report to the CPB-PBS Ready to Learn Initiative. Menlo Park, CA: SRI International and New York: Education Development Center.
Patall, E.A. (2013). Constructing motivation through choice, interest, and interestingness. Journal of Educational Psychology, 105(2), 522-534. doi: 10.1037/a0030307.
Patall, E.A., Cooper, H., and Robinson, J.C. (2008). The effects of choice on intrinsic motivation and related outcomes: A meta-analysis of research findings. Psychological Bulletin, 134(2), 270–300. doi.org/10.1037/0033-2909.134.2.270.
Patall, E.A., Cooper, H., and Wynn, S.R. (2010). The effectiveness and relative importance of choice in the classroom. Journal of Educational Psychology, 102(4), 896–915.
Patall, E.A., Sylvester, B.J., and Han, C.W. (2014). The role of competence in the effects of choice on motivation. Journal of Experimental Social Psychology, 50(1), 27–44. doi:10.1016/j. jesp.2013.09.002.
Patel, V.L., and Groen, G.J. (1991). Developmental accounts of the transition from medical student to doctor: Some problems and suggestions. Medical Education, 25(6), 527–535.
Patel, V.L., Groen, G.J., and Frederiksen, C.H. (1986). Differences between medical students and doctors in memory for clinical cases. Medical Education, 20(1), 3–9.
Pavlik, P.I. Jr., and Anderson, J.R. (2008). Using a model to compute the optimal schedule of practice. Journal of Experimental Psychology: Applied, 14(2), 101–117.
Pavlik, P.I. Jr., Kelly, C., and Maass, J.K. (2016). The Mobile Fact and Concept Training System (MoFaCTS). In A. Micarelli, J. Stamper, and K. Panourgia (Eds.), Intelligent Tutoring Systems. ITS 2016. Lecture Notes in Computer Science (Vol. 9684). Cham, Switzerland: Springer.
Peich, M.-C., Husain, M., and Bays, P.M. (2013). Age related decline of precision and binding in visual working memory. Psychology and Aging, 28(3), 729–743. doi:10.1037/a0033236.
Pellegrino, J.W. (2014). Assessment as a positive influence on 21st century teaching and learning: A systems approach to progress. Psicología Educativa, 20, 65–77.
Pennington, C.R., Heim, D., Levy, A.R., and Larkin, D.T. (2016). Twenty years of stereotype threat research: A review of psychological mediators. PLoS One, 11(1), 1–25. doi:10.1371/journal.pone.0146487.
Penuel, W.R., Bates, L., Gallagher, L.P., Pasnik, S., Llorente, C., Townsend, E., Hupert, N., Domínguez, X, and VanderBorght, M. (2012). Supplementing literacy instruction with a media-rich intervention: Results of a randomized controlled trial. Early Childhood Research Quarterly, 27(1), 115–127. doi.org/10.1016/j.ecresq.2011.07.002.
Pesce, C., Crova, C., Cereatti, L., Casella, R., and Bellucci, M. (2009). Physical activity and mental performance in preadolescents: Effects of acute exercise on free-recall memory. Mental Health and Physical Activity, 2(1), 16–22.
Pew Research Center. (2014). Older Adults and Technology Use. Available: http://www.pewinternet.org/2014/04/03/older-adults-and-technology-use [December 2017].
Phinney, J.S., and Haas, K. (2003). The process of coping among ethnic minority first-generation college freshman: A narrative approach. The Journal of Social Psychology, 143(6), 707–726.
Pinkard, N., Erete, S., Martin, C., and McKinney de Royston, M. (2017). Digital youth divas: Exploring narrative-driven curriculum to trigger middle school girls’ interest in computational activities. Journal of the Learning Sciences, 26(3), 477–516. doi.org/10.1080/10508406.2017.1307199.
Pintrich, P.R. (2000). Multiple goals, multiple pathways: The role of goal orientation in learning and achievement. Journal of Educational Psychology, 92(3), 544–555.
Pintrich, P.R. (2003). A motivational science perspective on the role of student motivation in learning and teaching contexts. Journal of Educational Psychology, 95(4), 667–686.
Poldrack, R.A. (2000). Imaging brain plasticity: Conceptual and methodological issues. Neuroimage, 12(1), 1–13.
Pollock, J.I. (1994). Night-waking at five years of age: Predictors and prognosis. Journal of Child Psychology and Psychiatry and Allied Disciplines, 35(4), 699–708.
Potter, G.G., Plassman, B.L., Helms, M.J., Foster, S.M., and Edwards, N.W. (2006). Occupational characteristics and cognitive performance among elderly male twins. Neurology, 67(8), 1377–1382. doi.org/10.1212/01.wnl.0000240061.51215.ed.
Potter, G.G., Helms, M.J., and Plassman, B.L. (2008). Associations of job demands and intelligence with cognitive performance among men in late life. Neurology, 70(19), 1803–1808. doi.org/10.1212/01.wnl.0000295506.58497.7e.
Prensky, M. (2006). Don’t Bother Me, Mom, I’m Learning!: How Computer and Video Games are Preparing Your Kids for 21st Century Success and How You Can Help! St. Paul, MN: Paragon House.
Pressley, M., McDaniel, M.A., Turnure, J.E., Wood, E., and Ahmad, M. (1987). Generation and precision of elaboration: Effects on intentional and incidental learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 13(2), 291–300. doi:10.1037/0278-7322.214.171.1241.
Prieto, L.P., Dlab, M.H., Gutiérrez, I., Abdulwahed, M., and Balid, W. (2011). Orchestrating technology enhanced learning: A literature review and a conceptual framework. International Journal of Technology Enhanced Learning, 3(6), 583–598.
Pronin, E., Puccio, C., and Ross, L. (2002). Understanding misunderstanding: Social psychological perspectives. In T. Gilovich and D. Griffin (Eds.), Heuristics and Biases: The Psychology of Intuitive Judgment (pp. 636–665). New York: Cambridge University Press
Purcell, K., Heaps, A., Buchanan, J., and Friedrich, L. (2013). The Impact of Digital Tools on Student Writing and How Writing Is Taught in Schools. Washington, DC: Pew Research Center’s Internet and American Life Project.
Pyc, M.A., and Rawson, K.A. (2010). Why testing improves memory: Mediator effectiveness hypothesis. Science, 330(6002), 335. doi:10.1126/science.1191465.
Rader, H.B. (2002). 21st century literacy summit. Library Hi Tech News, 19(7), 21.
Radinsky, J., Alamar, K., and Oliva, S. (2010). Camila, the earth, and the sun: Constructing an idea as shared intellectual property. Journal of Research in Science Teaching, 47, 619–642.
Raemdonck, I., Gijbels, D., and van Groen, W. (2014). The influence of job characteristics and self-directed learning orientation on workplace learning. International Journal of Training and Development, 18(3), 188–203. doi.org/10.1111/ijtd.12028.
Rauh, V.A., and Margolis, A.E. (2016). Research review: Environmental exposures, neurodevelopment, and child mental health—new paradigms for the study of brain and behavioral effects. Journal of Child Psychology and Psychiatry, 57(7), 775–793. doi:10.1111/jcpp.12537.
Raviv, S., and Low, M. (1990). Influence of physical activity on concentration among junior high-school students. Perceptual and Motor Skills, 70(1), 67–74.
Raybourn, E.M. (2014). A new paradigm for serious games: Transmedia learning for more effective training and education. Journal of Computational Science, 5(3), 471–481. doi.org/10.1016/j.jocs.2013.08.005.
Raz, N., Lindenberger, U., Rodrigue, K.M., Kennedy, K.M., Head, D., Williamson, A., Dahle, C., Gerstorf, D., and Acker, J.D. (2005). Regional brain changes in aging healthy adults: General trends, individual differences and modifiers. Cerebral Cortex, 15(11), 1676–1689.
Raz, N., Ghisletta, P., Rodrigue, K.M., Kennedy, K.M., and Lindenberger, U. (2010). Trajectories of brain aging in middle-aged and older adults: Regional and individual differences. Neuroimage, 51(2), 501–511.
Rea, C.P., and Modigliani, V. (1987). The spacing effect in 4- to 9-year-old children. Memory & Cognition, 15(5), 436–443.
Reardon, S.F. (2011). The widening academic achievement gap between the rich and the poor: New evidence and possible explanations. In R. Murnane and G. Duncan (Eds.), Whither Opportunity? Rising Inequality and the Uncertain Life Chances of Low-Income Children (pp. 91–116). New York: Russell Sage Foundation Press.
Reich, J., Murnane, R., and Willett, J. (2012). The state of wiki usage in U.S. K–12 schools: Leveraging Web 2.0 data warehouses to assess quality and equity in online learning environments. Educational Researcher, 41(1), 7–15.
Reigosa-Crespo, V., Valdés-Sosa, M., Butterworth, B., Estévez, N., Rodríguez, M., Santos, E., and Lage, A. (2012). Basic numerical capacities and prevalence of developmental dyscalculia: The Havana survey. Developmental Psychology, 48(1), 123–135. doi.org/10.1037/a0025356.
Reisman, A. (2012). Reading like a historian: A document-based history curriculum intervention in urban high schools. Cognition and Instruction, 30, 86–112.
Renier, L.A., Anurova I., De Volder A.G., Carlson S., VanMeter J., and Rauschecker J.P. (2010). Preserved functional specialization for spatial processing in the middle occipital gyrus of the early blind. Neuron, 68(1), 138–148.
Renninger, K.A., and Hidi, S. (2002). Student interest and achievement: Developmental issues raised by a case study. In A. Wigfield and J.S. Eccles (Eds.), Development of Achievement Motivation (pp. 173–195). New York: Academic Press.
Reuter-Lorenz, P.A., and Cappell, K.A. (2008). Neurocognitive aging and the compensation hypothesis. Current Directions in Psychological Science, 17(3), 177–182.
Richardson, M., Abraham, C., and Bond, R. (2012). Psychological correlates of university students’ academic performance: A systematic review and meta-analysis. Psychological Bulletin, 138(2), 353–387. doi:10.1037/a0026838.
Richlan, F. (2012). Developmental dyslexia: Dysfunction of a left hemisphere reading network. Frontiers in Human Neuroscience, 6, 120. doi:10.3389/fnhum.2012.00120.
Richlan, F., Kronbichler, M., and Wimmer, H. (2009). Functional abnormalities in the dyslexic brain: A quantitative meta-analysis of neuroimaging studies. Human Brain Mapping, 30(10), 3299–3308. doi:10.1002/hbm.20752.
Richlan, F., Kronbichler, M., and Wimmer, H. (2013). Structural abnormalities in the dyslexic brain: A meta-analysis of voxel-based morphometry studies. Human Brain Mapping, 34(11), 3055–3065. doi:10.1002/hbm.22127.
Riggs, N.R., Jahromi, L.B., Razza, R.P., Dillworth, J.E., and Mueller, U. (2006). Executive function and the promotion of social-emotional competence. Journal of Applied Developmental Psychology, 27(4), 300–309. doi:10.1016/j.appdev.2006.04.002.
Ritter, S., Anderson, J.R., Koedinger, K, and Corbett, A. (2007). Cognitive tutor: Applied research in mathematics education. Psychonomic Bulletin and Review, 14(2), 249–255.
Rittle-Johnson, B. (2006). Promoting transfer: Effects of self-explanation and direct instruction. Child Development, 77(1), 1–15. doi:10.1111/j.1467-8624.2006.00852.x.
Rivet, A.E., and Krajcik, J.S. (2004). Achieving standards in urban systemic reform: An example of a sixth grade project-based science curriculum. Journal of Research in Science Teaching, 41(7), 669–692. doi:10.1002/tea.20021.
Roberts, R.E., Anderson, E.J., and Husain, M. (2013). White matter microstructure and cognitive function. The Neuroscientist, 19(1), 8–15.
Roediger, H.L. (1980). Memory metaphors in cognitive psychology. Memory & Cognition, 8(3), 231–246. doi:10.3758/bf03197611.
Roediger, H.L., and Karpicke, J.D. (2006a). Test-enhanced learning: Taking memory tests improves long-term retention. Psychological Science, 17(3), 249–255. doi:10.1111/j.1467-9280.2006.01693.x.
Roediger, H.L., and Karpicke, J.D. (2006b). The power of testing memory: Basic research and implications for educational practice. Perspectives on Psychological Science, 1(3), 181–210. doi:10.1111/j.1745-6916.2006.00012.x.
Roediger, H.L., and McDermott, K.B. (1995). Creating false memories: Remembering words not presented in lists. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21(4), 803–814. doi:10.1037/0278-73126.96.36.1993.
Rogoff, B. (2003). The Cultural Nature of Human Development. New York: Oxford University Press.
Rogoff, B. (2015). Human teaching and learning involve cultural communities, not just individuals. Behavioral and Brain Sciences, 38, e60. doi:10.1017/S0140525X14000818.
Rogoff, B. (2016). Culture and participation: A paradigm shift. Current Opinion in Psychology, 8, 182–189. doi:10.1016/j.copsyc.2015.12.002.
Rogoff, B., and Chavajay, P. (1995). What’s become of research on the cultural basis of cognitive development. American Psychologist, 50(10), 859–877.
Rohrer, D. (2012). Interleaving helps students distinguish among similar concepts. Educational Psychology Review, 24(3), 355–367. doi:10.1007/s10648-012-9201-3.
Rohrer, D., Dedrick, R.F., and Stershic, S. (2015). Interleaved practice improves mathematics learning. Journal of Educational Psychology, 107(3), 900–908. doi:10.1037/edu0000001.
Rojewski, J.W. (1999). Occupational and educational aspirations and attainment of young adults with and without LD 2 years after high school completion. Journal of Learning Disabilities, 32(6), 533–552.
Rojewski, J.W., Lee, I.H., and Gregg, N. (2014). Intermediate work outcomes for adolescents with high-incidence disabilities. Career Development and Transition for Exceptional Individuals, 37(2), 106–118. doi.org/10.1177/2165143412473352.
Rojewski, J.W., Lee, I.H., and Gregg, N. (2015). Causal effects of inclusion on postsecondary education outcomes of individuals with high-incidence disabilities. Journal of Disability Policy Studies, 25(4), 210–219. doi.org/10.1177/1044207313505648.
Rosch, E., and Mervis, C.B. (1975). Family resemblance: Studies in the internal structure of categories. Cognitive Psychology, 7(4), 573–605. doi.org/10.1016/0010-0285(75)90024-9.
Roschelle, J. (1992). Learning by collaborating: Convergent conceptual change. The Journal of the Learning Sciences, 2(3), 235–276.
Roschelle, J., Shechtman, N., Tatar, D., Hegedus, S., Hopkins, B., Empson, S., Knudsen, J., and Gallagher, L. (2010). Integration of technology, curriculum, and professional development for advancing middle school mathematics: Three large-scale studies. American Educational Research Journal, 44(4), 833–878.
Roschelle, J., Feng, M., Murphy, R.F., and Mason, C.A. (2016). Online mathematics homework increases student achievement. AERA Open, 2(4), 1–12.
Roscoe, R.D., and Chi, M.T.H. (2007). Understanding tutor learning: Knowledge-building and knowledge-telling in peer tutors’ explanations and questions. Review of Educational Research, 77(4), 534–574. doi:10.3102/0034654307309920.
Rosen, Y., and Rimor, R. (2009). Using collaborative database to enhance students’ knowledge construction. Interdisciplinary Journal of E-Learning and Learning Objects, 5, 187–195. Available: http://www.ijello.org/Volume5/IJELLOv5p187-195Rosen671.pdf [December 2017].
Rosenshine, B., Meister, C., and Chapman, S. (1996). Teaching students to generate questions: A review of the intervention studies. Review of Educational Research, 66(2), 181–221.
Ross, J.A., and Starling, M. (2008). Self-assessment in a technology supported environment: The case of grade 9 geography. Assessment in Education, 15(2), 183–199.
Ross, J.A., Hogaboam-Gray, A., and Rolheiser, C. (2002). Student self-evaluation in grade 5–6 mathematics: Effects on problem-solving achievement. Educational Assessment, 8(1), 43–58. doi.org/10.1207/S15326977EA0801_03.
Rouiller, J.Z., and Goldstein, I.L. (1993). The relationship between organizational transfer climate and positive transfer of training. Human Resource Development Quarterly, 4(4), 377–390. doi.org/10.1002/hrdq.3920040408.
Rowe, J.W., and Kahn, R.L. (1987). Human aging: Usual and successful. Science, 237(4811), 143–149. doi:10.1126/science.3299702.
Ruiz-Primo, M.A., and Li, M. (2013). Examining formative feedback in the classroom context: New research perspectives. In J.H. McMillan (Ed.), SAGE Handbook of Research on Classroom Assessment (pp. 215–231). New York: SAGE.
Ryan, R.M., and Deci, E.L. (2000). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25(1), 54–67. doi:10.1006/ceps.1999.1020.
Sabatini, J.P., Sawaki, Y., Shore, J.R., and Scarborough, H.S. (2010). Relationships among reading skills of adults with low literacy. Journal of Learning Disabilities, 43(2), 122–138.
Sadoski, M., and Paivio, A. (2001). Imagery and Text: A Dual Coding Theory Reading and Writing. New York: Lawrence Erlbaum Associates.
Saffran, J.R., Aslin, R.N., and Newport, E.L. (1996). Statistical learning by 8-month-old infants. Science, 274(5294), 1926–1928.
Salas, E., Cooke, N.J., and Rosen, M.A. (2008). On teams, teamwork, and team performance: Discoveries and developments. Human Factors, 50(3), 540–548.
Salthouse, T.A. (2009). When does age-related cognitive decline begin? Neurobiology of Aging, 30(4), 507–514. doi:10.1016/j.neurobiolaging.2008.09.023.
Salthouse, T.A. (2010). Major Issues in Cognitive Aging. New York: Oxford University Press.
Sana, F., Weston, T., and Cepeda, N.J. (2013). Laptop multitasking hinders classroom learning for both users and nearby peers. Computers and Education, 62, 24–31. doi:10.1016/j. compedu.2012.10.003.
Sandoval, W.A., and Reiser, B.J. (2004). Explanation-driven inquiry: Integrating conceptual and epistemic scaffolds for scientific inquiry. Science Education, 88(3), 345–372.
Saxe, G.B. (2012a). Approaches to reduction in treatments of culture-cognition relations: Affordances and limitations. Commentary on Gauvain and Munroe. Human Development, 55, 233–242. doi:10.1159/000341975.
Saxe, G.B. (2012b). Cultural Development of Mathematical Ideas: Papua New Guinea Studies. New York: Cambridge University Press.
Scardamalia, M., and Bereiter, C. (1993). Computer support for knowledge-building communities. Journal of the Learning Sciences, 3(3), 265–283.
Scardamalia, M., and Bereiter, C. (2006). Knowledge building: Theory, pedagogy, and technology. In K. Sawyer (Ed.), Cambridge Handbook of the Learning Sciences (pp. 97–118). New York: Cambridge University Press.
Schacter, D.L., Koutstaal, W., and Norman, K.A. (1997). False memories and aging. Trends in Cognitive Sciences, 1(6), 229–236.
Schacter, D.L., Gaesser, B., and Addis, D.R. (2013). Remembering the past and imagining the future in the elderly. Gerontology, 59(2), 143–151.
Schapiro, A.C., and Turk-Browne, N.B. (2015). Statistical learning. In A.W. Toga and R.A. Poldrack (Eds.), Brain Mapping: An Encyclopedic Reference (pp. 501–506). London, UK: Academic Press.
Schedlowski, M., Enck, P., Rief, W., and Bingel, U. (2015). Neuro-bio-behavioral mechanisms of placebo and nocebo responses: Implications for clinical trials and clinical practice. Pharmacological Reviews, 67(3), 697–730. doi:10.1124/pr.114.009423.
Schiefele, U. (2009). Situational and individual interest. In K.R. Wentzel and A. Wigfield (Eds.), Handbook of Motivation in School (pp. 197–223). New York: Taylor Francis.
Schlichting, M.L., and Preston, A.R. (2015). Memory integration: Neural mechanisms and implications for behavior. Current Opinion in Behavioral Sciences, 1, 1–8. doi.org/10.1016/j.cobeha.2014.07.005.
Schmader, T., and Johns, M. (2003). Converging evidence that stereotype threat reduces working memory capacity. Journal of Personality and Social Psychology, 85(3), 440–452.
Schmader, T., Johns, M., and Forbes, C. (2008). An integrated process model of stereotype threat effects on performance. Psychological Review, 115(2), 336–356. doi.org/10.1037/0033-295X.115.2.336.
Schmeck, A., Mayer, R.E., Opfermann, M., Pfeiffer, V., and Leutner, D. (2014). Drawing pictures during learning from scientific text: Testing the generative drawing effect and the prognostic drawing effect. Contemporary Educational Psychology, 39(4), 275–286. doi:10.1016/j. cedpsych.2014.07.003.
Schmidt, R.A., and Bjork, R.A. (1992). New conceptualizations of practice: Common principles in three paradigms suggest new concepts for training. Psychological Science, 3(4), 207–217.
Schneps, M.H., Rose, L.T. and Fischer, K.W. (2007). Visual learning and the brain: Implications for dyslexia. Mind, Brain, and Education, 1(3), 128–139. doi:10.1111/j.1751-228X.2007.00013.x.
Scholz, J., Klein, M.C., Behrens, T.E.J., and Johansen-Berg, H. (2009). Training induces changes in white matter architecture. Nature Neuroscience, 12(11), 1370–1371.
Schoorman, F.D., and Schneider, B. (1988). Integration and overview of the research on work facilitation. In F.D. Schoorman and B. Schneider (Eds.), Facilitating Work Effectiveness (pp. 215–230). Lexington, MA: Lexington Books/D.C. Heath and Company.
Schraw, G., and Lehman, S. (2001). Situational interest: A review of the literature and directions for future research. Educational Psychology Review, 13(1), 23–52. doi:10.1023/A:1009004801455.
Schraw, G., Bruning, R., and Svoboda, C. (1995). Sources of situational interest. Journal of Reading Behavior, 27(1), 1–17. Available: http://journals.sagepub.com/doi/pdf/10.1080/10862969509547866 [December 2017].
Schulz, M., and Stamov Roßnagel, C. (2010). Informal workplace learning: An exploration of age differences in learning competence. Learning and Instruction, 20(5), 383–399. doi.org/10.1016/j.learninstruc.2009.03.003.
Schultz, W.P., Nolan, J.M., Cialdini, R.B., Goldstein, N.J., and Griskevicius, V. (2007). The constructive, destructive, and reconstructive power of social norms. Psychological Science, 18(5), 429–434.
Schunk, D.H., and Cox, P.D. (1986). Strategy training and attributional feedback with learning disabled students. Journal of Educational Psychology, 78(3), 201–209. doi.org/10.1037/0022-06188.8.131.52.
Schwamborn, A., Mayer, R.E., Thillmann, H., Leopold, C., and Leutner, D. (2010). Drawing as a generative activity and drawing as a prognostic activity. Journal of Educational Psychology, 102(4), 872–879. doi:10.1037/a0019640.
Schwartz, D.L. (1995). The emergence of abstract dyad representations in dyad problem solving. The Journal of the Learning Sciences, 4(3), 321–354. doi.org/10.1207/s15327809jls0403_3.
Schwartz, D.L., Martin, T., and Pfaffman, J. (2005). How mathematics propels the development of physical knowledge. Journal of Cognition and Development, 6(1), 65–88. doi 10.1207/s15327647jcd0601_5.
Schyns, P.G., Goldstone, R.L., and Thibaut, J.-P. (1998). The development of features in object concepts. Behavioral and Brain Sciences, 21, 1–54.
Seabrook, R., Brown, G.D.A., and Solity, J.E. (2005). Distributed and massed practice: From laboratory to classroom. Applied Cognitive Psychology, 19(1), 107–122. doi:10.1002/acp.1066.
Seehagen, S., Konrad, C., Herbert, J.S., and Schneider, S. (2015). Timely sleep facilitates declarative memory consolidation in infants. Proceedings of the National Academy of Sciences of the United States of America, 112(5), 1625–1629.
Seel, N.M. (2012). Encyclopedia of the Sciences of Learning. Boston, MA: Springer.
Segall, M.H., Campbell, D.T., and Herskovits, M.J. (1966). The Influence of Culture on Visual Perception. Indianapolis, IN: Bobbs-Merrill Company.
Senko, C., Hulleman, C.S., and Harackiewicz, J.M. (2011). Achievement goal theory at the crossroads: Old controversies, current challenges, and new directions. Educational Psychologist, 46(1), 26–47. doi:10.1080/00461520.2011.538646.
Serpell, R., and Boykin, A.W. (1994). Cultural dimensions of cognition: A multiplex, dynamic system of constraints and possibilities. In R.J. Sternberg (Ed.), Thinking and Problem Solving (pp. 235–258). San Diego, CA: Academic Press.
Serpell, R., and Boykin, A.W. (1994). Cultural dimensions of cognition: A multiplex, dynamic system of constraints and possibilities. In R.J. Sternberg (Ed.), Handbook of Perception and Cognition, Vol. 12: Thinking and Problem Solving (pp. 369–408). San Diego, CA: Academic Press.
Serpell, Z.N., Boykin, A.W., Madhere, S., and Nasim, A. (2006). The significance of contextual factors in African American students’ transfer of learning. Journal of Black Psychology, 32(4), 418–441.
Shaffer, D.W. (2007). How Computer Games Help Children Learn. New York: Palgrave.
Shaffer D.W., Hatfield D., Svarovsky G.N., Nash P., Nulty A., Bagley E., Frank, K., Rupp, A.A., and Mislevy, R. (2009). Epistemic network analysis: A prototype for 21st-century assessment of learning. International Journal of Learning and Media, 1(2), 33–53. doi:10.1162/ijlm.2009.0013.
Shah, J.Y., and Kruglanski, A.W. (2000). Aspects of goal networks: Implications for self-regulation. In M. Boekaerts, P.R. Pintrich, and M. Zeidner (Eds.), Handbook of Self-Regulation (pp. 85–110). San Diego, CA: Academic Press.
Shim, S.S., Ryan, A.M., and Anderson, C.J. (2008). Achievement goals and achievement during early adolescence: Examining time-varying predictor and outcome variables in growth-curve analysis. Journal of Educational Psychology, 100(3), 655–671. doi.org/10.1037/0022-06184.108.40.2065.
Shute, V. (2008). Focus on formative feedback. Review of Educational Research, 78(1), 153–189.
Shute, V.J., and Ventura, M. (2013). Measuring and Supporting Learning in Games: Stealth Assessment. Cambridge, MA: The MIT Press.
Siadaty, M., Gašević, D., Jovanović, J., Pata, K., Milikić, N., Holocher-Ertl, T., Jeremić, Z., Ali, L., Giljanović, A., and Hatala, M. (2012). Self-regulated workplace learning: A pedagogical framework and semantic web-based environment. Educational Technology and Society, 15(4), 75–88.
Sibley, B.A., and Etnier, J.L. (2003). The relationship between physical activity and cognition in children: A metaanalysis. Pediatric Exercise Science, 15(3), 243–256. doi.org/10.1123/pes.15.3.243.
Siemens, G., Gaševi , D., and Dawson, S. (2015). Preparing for the Digital University: A Review of the History and Current State of Distance, Blended, and Online Learning. Available: http://linkresearchlab.org/PreparingDigitalUniversity.pdf [December 2017].
Silveri, M.M. (2012). Adolescent brain development and underage drinking in the United States: Identifying risks of alcohol use in college populations. Harvard Review of Psychiatry, 20(4), 189–200.
Simone, P.M., Bell, M.C., and Cepeda, N.J. (2012). Diminished but not forgotten: Effects of aging on magnitude of spacing effect benefits. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 68(5), 674–680. doi:10.1093/geronb/gbs096.
Siuda-Krzywicka, K., Bola, L., Paplińska, M., Sumera, E., Jednoróg, K., Marchewka, A., Śilwińska, M.W., Amedi, A., and Szwed, M. (2016). Massive cortical reorganization in sighted Braille readers. eLife, 5, e10762. http://doi.org/10.7554/eLife.10762.
Slavin, R.E. (2008). Perspectives on evidence-based research in education: What works? Educational Researcher, 37(1), 5–14. doi:10.3102/0012189X08314117.
Slavin, R.E. (2016). Educational Psychology: Theory and Practice. London: Pearson.
Slavin, R.E., and Lake, C. (2008). Effective programs in elementary mathematics: A best-evidence synthesis. Review of Educational Research, 78(3), 427–515. doi.org/10.3102/0034654308317473.
Smedley, A., and Smedley, B.D. (2005). Race as biology is fiction, racism as a social problem is real: Anthropological and historical perspectives on the social construction of race. American Psychologist, 60(1), 16–26.
Smeyers, P., and Depaepe, M. (2013). Making sense of the attraction of psychology: On the strengths and weaknesses for education and educational research. In P. Smeyers and M. Depaepe (Eds.), Educational Research: The Attraction of Psychology (pp. 1–10). Dordrecht, The Netherlands: Springer.
Smith, M.K., Wood, W.B., Krauter, K., and Knight, J.K. (2011). Combining peer discussion with instructor explanation increases student learning from in-class concept questions. CBE-Life Sciences Education, 10(1), 55–63. doi:10.1187/cbe.10-08-0101.
Smith-Spark, J.H., and Fisk J.E. (2007). Working memory functioning in developmental dyslexia. Memory, 15(1), 34–56. doi:10.1080/09658210601043384.
Snow, R.E. (1989). Cognitive-conative aptitude interactions in learning. In R. Kanfer, P.L. Ackerman, and R. Cudeck (Eds.), Abilities, Motivation, and Methodology: The Minnesota Symposium on Learning and Individual Differences (pp. 435–474). Hillsdale, NJ: Lawrence Erlbaum Associates.
Snowling, M.J., and Hulme, C. (2012). Annual research review: The nature and classification of reading disorders—a commentary on proposals for DSM-5. Journal of Child Psychology and Psychiatry, 53(5), 593–607. doi:10.1111/j.1469-7610.2011.02495.x.
Sobel, H.S., Cepeda, N.J., and Kapler, I.V. (2011). Spacing effects in real-world classroom vocabulary learning. Applied Cognitive Psychology, 25(5), 763–767. doi:10.1002/acp.1747.
Songer, N., Kelcey, B., and Gotwals, A. (2009). How and when does complex reasoning occur? Empirically driven development of a learning progression focused on complex reasoning about biodiversity. Journal for Research in Science Teaching, 46(6), 610–631.
Sonnentag, S., and Lange, I. (2002). The relationship between high performance and knowledge about how to master cooperative situations. Applied Cognitive Psychology, 16, 491–508. Available: https://pdfs.semanticscholar.org/f850/d8a0f6155107149d92edaded7f7cede442c3.pdf [December 2017].
Sottilare, R., Graesser, A., Hu, X., and Goldberg, B. (Eds.). (2014). Design Recommendations for Intelligent Tutoring Systems (Vol. 2). Orlando, FL: U.S. Army Research Laboratory. Available: http://ict.usc.edu/pubs/Intelligent%20Tutoring%20Support%20for%20Learners%20Interacting%20with%20Virtual%20Humans.pdf [December 2017].
Spelke, E.S. (2004). Core knowledge. In N. Kanwisher and J. Duncan (Eds.), Attention and Performance (Vol. 20). Oxford, UK: Oxford University Press.
Spelke, E.S., and Kinzler, K.D. (2007). Core knowledge. Developmental Science, 10(1), 89–96.
Spencer, J.A. (1999). Learner centered approaches in medical education. British Medical Journal, 318, 1280–1283. doi.org/10.1136/bmj.318.7193.1280.
Spencer, S.J., Steele, C.M., and Quinn, D.M. (1999). Stereotype threat and women’s math performance. Journal of Experimental Social Psychology, 35(1), 4–28. doi:10.1006/jesp.1998.1373.
Spencer, W.D., and Raz, N. (1995). Differential effects of aging on memory for content and context: A meta-analysis. Psychology and Aging, 10(4), 527–539.
Spilsbury, J.C., Storfer-Isser, A., Drotar, D., Rosen, C.L., Kirchner, L.H., Benham, H., and Redline, S. (2004). Sleep behavior in an urban U.S. sample of school-aged children. Archives of Pediatrics and Adolescent Medicine, 158(10), 988–994.
Sporns, O. (2011). Networks of the Brain. Cambridge, MA: MIT Press.
Spreng, R.N., Wojtowicz, M., and Grady, C.L. (2010). Reliable differences in brain activity between young and old adults: A quantitative meta-analysis across multiple cognitive domains. Neuroscience and Biobehavioral Reviews, 34, 1178–1194.
Squire, K. (2011). Video Games and Learning: Teaching and Participatory Culture in the Digital Age. Technology, Education—Connections (the TEC series). New York: Teachers College Press.
Stark, S.M., Yassa, M.A., and Stark, C.E. (2010). Individual differences in spatial pattern separation performance associated with healthy aging in humans. Learning & Memory, 17(6), 284–288.
Steele, C.M. (1997). A threat in the air: How stereotypes shape intellectual identity and performance. American Psychologist, 52(6), 613–629.
Steele, C.M., and Aronson, J. (1995). Stereotype threat and the intellectual test performance of African Americans. Journal of Personality and Social Psychology, 69(5), 797–811.
Steele, C.M., Spencer, S.J., and Aronson, J. (2002). Contending with group image: The psychology of stereotype and social identity threat. In M. Zanna (Ed.), Advances in Experimental Social Psychology (vol. 34, pp. 379–440). New York: Academic Press.
Stephens, N.M., Fryberg, S.A., Markus, H.R., Johnson, C.S., and Covarrubias, R. (2012). Unseen disadvantage: How American universities’ focus on independence undermines the academic performance of first-generation college students. Journal of Personality and Social Psychology, 102(6), 1178–1197. doi:10.1037/a0027143.
Sternberg, R.J. (2004). Culture and intelligence. American Psychologist, 59(5), 325-338. doi.org/10.1037/0003-066X.59.5.325.
Stiles, J., and Jernigan, T.L. (2010). The basics of brain development. Neuropsychology Review, 20(4), 327–348. doi.org/10.1007/s11065-010-9148-4.
Stine-Morrow, E.A.L., Parisi, J.M., Morrow, D.G., and Park, D.C. (2008). The effects of an engaged lifestyle on cognitive vitality: A field experiment. Psychology and Aging, 23(4), 778–786. doi.org/10.1037/a0014341.
Stoel, G.L., van Drie, J.P., and van Boxtel, C.A.M. (2015). Teaching towards historical expertise. Developing a pedagogy for fostering causal reasoning in history. Journal of Curriculum Studies, 47, 49–76.
Stroth, S., Kubesch, S., Dieterle, K., Ruchsow, M., Heim, R., and Kiefer, M. (2009). Physical fitness, but not acute exercise modulates event-related potential indices for executive control in healthy adolescents. Brain Research, 1269, 114–124. doi:10.1016/j.brainres.2009.02.073.
Sue, S., and Dhindsa, M.K. (2006). Ethnic and racial health disparities research: Issues and problems. Health Education and Behavior, 33(4), 459–469. doi.org/10.1177/1090198106287922.
Super, C.M., and Harkness, S. (1986). The developmental niche: A conceptualization at the interface of child and culture. International Journal of Behavioral Development, 9(4), 545–569.
Super, C.M., and Harkness, S. (2010). Culture and infancy. In J.G. Bremner and T.D. Wachs (Eds.), The Wiley-Blackwell Handbook of Infant Development (2nd ed., vol.1). Oxford: Blackwell.
Swanson, H.L. (1999). Reading research for students with LD: A meta-analysis in intervention outcomes. Journal of Learning Disabilities, 32(6), 504–532. doi:10.1177/002221949903200605.
Swanson, H.L. (2000). Searching for the best cognitive model for instructing students with learning disabilities: A component and composite analysis. Educational and Child Psychology, 17(3), 101–121.
Swanson, H.L. (2012). Adults with reading disabilities: Converting a meta-analysis to practice. Journal of Learning Disabilities, 45(1), 17–30. doi.org/10.1177/0022219411426856.
Swanson, H.L. (2016, unpublished). Learning Disabilities. Paper commissioned by the Committee on the Science of Practice and Learning, National Academies of Sciences, Engineering, and Medicine, Washington, DC.
Swanson, H.L., and Hsieh, C. (2009). Reading disabilities in adults: A selective meta-analysis of the literature. Review of Educational Research, 79(4), 1362–1390.
Swanson, H.L., Hoskyn, M., and Lee, C. (1999). Interventions for Students with Learning Disabilities: A Meta-analysis of Treatment Outcomes. New York: Guilford Press.
Swartout, W., Artstein, R., Forbell, E., Foutz, S., Lane, H.C., Lange, B., Morie, J.F., Rizzo, A. S., and Traum, D. (2013). Virtual humans for learning. AI Magazine, 34(4), 13–30.
Swartout, W., Nye, B.D., Hartholt, A., Reilly, A., Graesser, A.C., VanLehn, K., Wetzel, J., Liewer, M., Morbini, F., Morgan, B. Wang, L., Benn, G., and Rosenberg, M. (2016). Designing a personal assistant for life-long learning (PAL3). In Proceedings of the 29th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016 (pp. 491–496). Palo Alto, CA: AAAI Press.
Swisher, K. (1990). Cooperative learning and the education of American Indian/Alaskan Native Students: A review of the literature and suggestions for implementation. Journal of American Indian Education, 29, 2, 36–43.
Tadmor, C.T., Chao, M.M., Hong, Y.Y., and Polzer, J.T. (2013). Not just for stereotyping anymore: Racial essentialism reduces domain-general creativity. Psychological Science, 24(1), 99–105. doi:10.1177/0956797612452570.
Tait, A.R., Voepel-Lewis, T., Chetcuti, S.J., Brennan-Martinez, C., and Levine, R. (2014). Enhancing patient understanding of medical procedures: Evaluation of an interactive multimedia program with in-line exercises. International Journal of Medical Informatics, 83(5), 376–384.
Tajfel, H., and Turner, J.C. (1979). An integrative theory of intergroup conflict. In W.G. Austin, and S. Worchel (Eds.), The Social Psychology of Intergroup Relations (pp. 33–37). Monterey, CA: Brooks/Cole.
Tang, M., Fouad, N.A., and Smith, P.L. (1999). Asian Americans’ career choices: A path model to examine factors influencing their career choices. Journal of Vocational Behavior, 54(1), 142–157. doi.org/10.1006/jvbe.1998.1651.
Tannenbaum, S.I. (1997). Enhancing continuous learning: Diagnostic findings from multiple companies. Human Resource Management, 36(4), 437–452. doi.org/10.1002/(SICI)1099-050X(199724)36:4<437::AID-HRM7>3.0.CO;2-W.
Tannenbaum, S.I., Beard, R.L., McNall, L.A., and Salas, E. (2010). Informal learning and development in organizations. In S W.J. Kozlowski and E. Salas (Eds.), Learning, Training, and Development in Organizations (pp. 303–331). New York: Routledge/Taylor and Francis Group.
Taras, H. (2005). Nutrition and student performance at school. Journal of School Health, 75(6), 199–213.
Tate, W. (2001). Science education as a civil right: Urban schools and opportunity-to-learn considerations. Journal of Research in Science Teaching, 38(9), 1015–1028.
Tauber, S.K., Dunlosky, J., Rawson, K.A., Wahlheim, C.N., and Jacoby, L.L. (2013). Self-regulated learning of a natural category: Do people interleave or block exemplars during study? Psychonomic Bulletin & Review, 20, 356–363.
Taylor, S.E., and Brown, J.D. (1988). Illusion and well-being: A social psychological perspective on mental health. Psychological Bulletin, 103(2), 193–201.
Tenenbaum, J.B., Kemp, C., Griffiths, T.L., and Goodman, N.D. (2011). How to grow a mind: Statistics, structure, and abstraction. Science, 331(6022), 1279–1285.
Thomas, J.W. (2000). A Review of Research on Project-based Learning. Available: http://www.bie.org/images/uploads/general/9d06758fd346969cb63653d00dca55c0.pdf [December 2017].
Thompson, G. (1990). How can correspondence-based distance education be improved?: A survey of attitudes of students who are not well disposed toward correspondence study. International Journal of E-Learning and Distance Education, 5(1), 53–65.
Thorell, L.B., Lindqvistm, S., Bergmanm, N., Bohlinm, G., and Klingberg, T. (2009). Training and transfer effects of executive functions in preschool children. Developmental Science, 12(1), 106–113. doi:10.1111/j.1467-7687.2008.00745.x.
Thorndyke, P.W., and Hayes-Roth, B. (1982). Differences in spatial knowledge acquired from maps and navigation. Cognitive Psychology, 14, 560–589.
Thrasher, C., and LoBue, V. (2016). Do infants find snakes aversive? Infants’ psychological responses to “fear-relevant” stimuli. Journal of Experimental Child Psychology, 142, 382–390. doi: 10.1016/j.jecp.2015.09.013.
Tindall-Ford, S., Chandler, P., and Sweller, J. (1997). When two sensory modes are better than one. Journal of Experimental Psychology: Applied, 3(4), 257–287. doi.org/10.1037/1076-898X.3.4.257.
Tobias, S., and Fletcher, J.D. (2011). Computer Games and Instruction. Charlotte, NC: Information Age.
Tomasello, M. (2001). The Cultural Origins of Human Cognition. Cambridge, MA: Harvard University Press.
Tomasello, M. (2008). Origins of Human Communication. Cambridge, MA: MIT Press.
Tomasello, M. (2016). Cultural learning redux. Child Development, 87(3), 643–653.
Tomporowski, P.D., and Ellis, N.R. (1984). Preparing severely and profoundly mentally retarded adults for tests of motor fitness. Adapted Physical Activity Quarterly, 1(2), 158–163.
Tomporowski, P.D., and Ellis, N.R. (1985). The effects of exercise on the health, intelligence, and adaptive behavior of institutionalized severely and profoundly mentally retarded adults: A systematic replication. Applied Research in Mental Retardation, 6(4), 465–473.
Tomporowski, P.D., Lambourne, K., and Okumura, M.S. (2011). Physical activity interventions and children’s mental function: An introduction and overview. Preventive Medicine, 52(Suppl. 1), S3–S9. doi:10.1016/j.ypmed.2011.01.028.
Topping, K. (2013). Peers as a source of formative and summative assessment. In J. McMillan (Ed.), SAGE Handbook of Research on Classroom Assessment (pp. 395–412). New York: SAGE.
Toppino, T.C. (1991). The spacing effect in young children’s free recall: Support for automatic-process explanations. Memory & Cognition, 19(2), 159–167.
Toppino, T.C., Hara, Y., and Hackman, J. (2002). The spacing effect in the free recall of homogeneous lists: Present and accounted for. Memory & Cognition, 30(4), 601–606.
Treisman U. (1992). Studying students studying calculus: A look at the lives of minority mathematics students in college. The College Mathematics Journal, 23(5), 362–372. doi:10.2307/2686410.
Tulving, E., and Thomson, D.M. (1973). Encoding specificity and retrieval processes in episodic memory. Psychological Review, 80(5), 352–373. doi:10.1037/h0020071.
Turner, G.R., and Spreng, R.N. (2012). Executive functions and neurocognitive aging: Dissociable patterns of brain activity. Neurobiology of Aging, 33, 826.e1–826.e13.
Tyler, K.M., Boykin, A.W., and Walton, T.R. (2006). Cultural considerations in teachers’ perceptions of student classroom behavior and achievement. Teaching and Teacher Education, 22(8), 998–1005. doi.org/10.1016/j.tate.2006.04.017.
Tynjala, P. (2008). Perspectives into learning at the workplace. Educational Research Review, 3(2), 130-154.
Urdan, T., Midgley, C., and Anderman, E.M. (1998). The role of classroom goal structure in students’ use of self-handicapping strategies. American Educational Research Journal, 35(1), 101–122. doi:10.3102/00028312035001101.
U.S. Department of Commerce, National Telecommunications and Information Administration. (2014). Exploring the Digital Nation: Embracing the Mobile Internet. Available: https://www.ntia.doc.gov/files/ntia/publications/exploring_the_digital_nation_embracing_the_mobile_internet_10162014.pdf [December 2017].
U.S. Department of Education.(1992). Fourteenth Annual Report to Congress on the Implementation of the Individuals with Disabilities Education Act. Washington, DC: U.S. Government Printing Office.
U.S. Department of Education.(1999). 1992 National Adult Literacy Survey: An Overview. Working Paper No. 1999-09a. Available: https://nces.ed.gov/pubs99/199909a.pdf [July 2018].
U.S. Department of Education. (2001). No Child Left Behind Act of 2001. Washington, DC: Author. Available: http://www2.ed.gov/policy/elsec/leg/esea02/index.html [December 2017].
U.S. Department of Education. (2010). Beyond the Bubble Tests: The Next Generation of Assessments—Secretary Arne Duncan’s Remarks to State Leaders at Achieve’s American Diploma Project Leadership Team Meeting. Available: http://www.ed.gov/news/speeches/beyond-bubble-tests-next-generation-assessments-secretary-arne-duncans-remarks-state-leaders-achieves-american-diploma-project-leadership-team-meeting [December 2017].
U.S. Department of Education. (2016). Section 1: Engaging and Empowering Learning Through Technology. Available: https://tech.ed.gov/netp/learning [December 2017].
U.S. Department of Education, and Office of Educational Technology. (2016). Future Ready Learning: Reimagining the Role of Technology in Education. Available: https://tech.ed.gov/files/2015/12/NETP16.pdf [December 2017].
U.S. Department of Health and Human Services, and Administration for Children and Families (2010). Head Start Impact Study. Final Report. Washington, DC: Author. Available: https://www.acf.hhs.gov/sites/default/files/opre/hs_impact_study_final.pdf [December 2017].
Valle, C. (2015). Effects of criteria-referenced formative assessment on achievement in music. Doctoral dissertation. University at Albany—SUNY.
Van der Kleij, F.M., Feskens, R.C., and Eggen, T.J.H.M. (2015). Effects of feedback in a computer-based learning environment on students’ learning outcomes: A meta-analysis. Review of Educational Research, 85(4), 475–511.
van Geldorp, B., Heringa, S.M., van den Berg, E., Olde Rikkert, M.G., Biessels, G.J., and Kessels, R.P. (2015). Working memory binding and episodic memory formation in aging, mild cognitive impairment, and Alzheimer’s dementia. Journal of Clinical and Experimental Neuropsychology, 37(5), 538–548.
Van Kesteren, M.T.R., Fernández, G., Norris, D.G., and Hermans, E.J. (2010). Persistent schema-dependent hippocampal-neocortical connectivity during memory encoding and postencoding rest in humans. Proceedings of the National Academy of Sciences of the United States of America, 107(16), 7550–7555. doi.org/10.1073/pnas.0914892107.
Van Meter, P. (2001). Drawing construction as a strategy for learning from text. Journal of Educational Psychology, 93(1), 129–140. doi:10.1037/0022-06220.127.116.11.
Van Meter, P., and Garner, J. (2005). The promise and practice of learner-generated drawing: Literature review and synthesis. Educational Psychology Review, 17(4), 285–325. doi:10.1007/s10648-005-8136-3.
Van Meter, P., Aleksic, M., Schwartz, A., and Garner, J. (2006). Learner-generated drawing as a strategy for learning from content area text. Contemporary Educational Psychology, 31(2), 142–166. doi:10.1016/j.cedpsych.2005.04.001
van Zuijen, T.L., Plakas, A., Maassen, B.M., Maurits, N.M., and van der Leij, A. (2013). Infant ERPs separate children at risk of dyslexia who become good readers from those who become poor readers. Developmental Science, 16(4), 554–563. doi:10.1111/desc.12049.
VanLehn, K. (2011). The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems. Educational Psychologist, 46(4), 197–221.
VanLehn, K., Graesser, A.C., Jackson, G.T., Jordan, P., Olney, A., and Rose, C.P. (2007). When are tutorial dialogues more effective than reading? Cognitive Science, 31(1), 3–62.
VanLehn, K., Wetzel, J., Grover, S., and van de Sande, B. (2015). Learning how to construct models of dynamic systems: An initial evaluation of the Dragoon intelligent tutoring system. IEEE Transactions on Educational Technology. Available: http://ieeexplore.ieee.org/document/7374728 [December 2017]. doi:10.1109/TLT.2016.2514422.
VanLehn, K., Chung, G., Grover, S., Madni, A., and Wetzel, J. (2016). Learning science by constructing models: Can Dragoon increase learning without increasing the time required? International Journal of Artificial Intelligence in Education, 26(4), 1033–1068. doi:10.1007/s40593-015-0093-5.
VanSledright, B., and Limón, M. (2006). Learning and teaching social studies: A review of cognitive research in history and geography. In P.A. Alexander and P.H. Winne (Eds.), Handbook of Educational Psychology (pp. 545–570). Hillsdale, NJ: Erlbaum.
Vansteenkiste, M., Lens, W., Dewitte, S., De Witte, H, and Deci, E.L. (2004). The “why” and “why not” of job search behavior: Their relation to searching, unemployment experience and well-being. European Journal of Social Psychology, 34(3), 345–363. doi:10.1002/ejsp.202.
Vansteenkiste, M., Sierens, E., Soenens, B., Luyckx, K., and Lens, W. (2009). Motivational profiles from a self-determination perspective: The quality of motivation matters. Journal of Educational Psychology, 101(3), 671–688. doi.org/10.1037/a0015083.
Varga, N.L., and Bauer, P.J. (2013). Effects of delay on 6-year-old children’s self-generation and retention of knowledge through integration. Journal of Experimental Child Psychology, 115(2), 326–341. doi:10.1016/j.jecp.2013.01.008.
Varga, N.L., Stewart, R., and Bauer, P.J. (2016). Integrating across episodes: Investigating the long-term accessibility of self-derived knowledge in 4-year-old children. Journal of Experimental Child Psychology, 145(1), 48–63. doi:10.1016/j.jcep.2015.11.015.
Vellutino, F.R., Fletcher, J.M., Snowling, M.J., and Scanlon, D.M. (2004). Specific reading disability (dyslexia), What have we learned in the past four decades? Journal of Child Psychology and Psychiatry, 45(1), 2–40. doi:10.1046/j.0021-9630.2003.00305.x.
Verhaeghen, P., and Salthouse, T.A. (1997). Meta-analyses of age-cognition relations in adulthood: Estimates of linear and nonlinear age effects and structural models. Psychological Bulletin, 122(3), 231–249.
Vezzali, L., Goclowska, M., Crisp, R., and Stathi, S. (2016). On the relationship between cultural diversity and creativity in education: The moderating role of communal versus divisional mindset. Thinking Skills and Creativity, 21, 152–157. doi:10.1016/j.tsc.2016.07.001.
Vignoles, V.L., Owe, E., Becker, M., Smith, P.B., Easterbrook, M.J., Brown, R., González, R., Didier, N., Carrasco, D., Cadena, M.P., Lay, S., Schwartz, S.J., Des Rosiers, S.E., Villamar, J.A., Gavreliuc, A., Zinkeng, M., Kreuzbauer, R., Baguma, P., Martin, M., Tatarko, A., Herman, G., de Sauvage, I., Courtois, M., Garðarsdóttir, R.B., Harb, C., Schweiger Gallo, I., Prieto Gil, P., Lorente Clemares, R., Campara, G., Nizharadze, G., Macapagal, M.E., Jalal, B., Bourguignon, D., Zhang, J., Lv, S., Chybicka, A., Yuki, M., Zhang, X., Espinosa, A., Valk, A., Abuhamdeh, S., Amponsah, B., Özgen, E., Güner, E. Ü., Yamakoğlu, N., Chobthamkit, P., Pyszczynski, T., Kesebir, P., Vargas Trujillo, E., Balanta, P., Cendales Ayala, B., Koller, S.H., Jaafar, J.L., Gausel, N., Fischer, R., Milfont, T.L., Kusdil, E., Çağlar, S., Aldhafri, S., Ferreira, M.C., Mekonnen, K.H., Wang, Q., Fülöp, M., Torres, A., Camino, L., Lemos, F.C., Fritsche, I., Möller, B., Regalia, C., Manzi, C., Brambilla, M., and Bond, M.H. (2016). Beyond the “east–west” dichotomy: Global variation in cultural models of selfhood. Journal of Experimental Psychology: General, 145(8), 966–1000.
Vohs, K., and Bauminster, R.F. (Eds.). (2017). Handbook of Self-Regulation: Research, Theory, and Applications (3rd ed.). New York: Guilford Press.
von Károlyi, C., Winner, E., Gray, W., and Sherman, G.F. (2003). Dyslexia linked to talent: Global visual-spatial ability. Brain and Language, 85(3), 427–431. doi:10.1016/S0093-934X(03)00052-X.
Vosniadou, S., and Brewer, W.F. (1992). Mental models of the earth: A study of conceptual change in childhood. Cognitive Psychology, 24(4), 535–585. doi.org/10.1016/0010-0285(92)90018-W.
Wade, S.E., Buxton, W.M., and Kelly, M. (1999). Using think-alouds to examine reader–text interest. Reading Research Quarterly, 34(2), 194–216.
Wade-Stein, D., and Kintsch, E. (2004). Summary Street: Interactive computer support for writing. Cognition and Instruction, 22(3), 333–362.
Wagner, M., Newman, L., Cameto, R., Garza, N., and Levine, P. (2005). After High School: A First Look at the Postschool Experiences of Youth with Disabilities. Menlo Park, CA: SRI International. Available: https://files.eric.ed.gov/fulltext/ED494935.pdf [December 2017].
Wahlstrom, K., Dretzke, B., Gordon, M., Peterson, K., Edwards, K., and Gdula, J. (2014). Examining the Impact of Later School Start Times on the Health and Academic Performance of High School Students: A Multi-Site Study. Center for Applied Research and Educational Improvement. St. Paul: University of Minnesota.
Waldinger, R.J., Cohen, S., Schulz, M.S., and Crowell, J.A. (2015). Security of attachment to spouses in late life: Concurrent and prospective links with cognitive and emotional wellbeing. Clinical Psychological Science, 3(4), 516–529.
Walker, M.P. (2006). Sleep to remember. American Scientist, 94, 326–333.
Walton, G.M., and Cohen, G.L. (2011). A brief social-belonging intervention improves academic and health outcomes of minority students. Science, 331(6023), 1447–1451.
Walton, G.M., and Spencer, S.J. (2009). Latent ability: Grades and test scores systematically underestimate the intellectual ability of negatively stereotyped students. Psychological Science, 20(9), 1132–1139.
Wang, M., Burlacu, G., Truxillo, D.J., James, K., and Yao, X. (2015). Age differences in feedback reactions: The roles of employee feedback orientation on social awareness and utility. Journal of Applied Psychology, 100(4), 1296–1308. doi:10.1037/a0038334.
Wang, Q. (2004). The emergence of cultural self-constructs: Autobiographical memory and self-description in European American and Chinese children. Developmental Psychology, 40(1), 3–15.
Wang, Q. (2009). Are Asians forgetful? Perception, retention, and recall in episodic remembering. Cognition, 111(1), 123–131.
Wang, Q., and Conway, M.A. (2004). The stories we keep: Autobiographical memory in American and Chinese middle-aged adults. Journal of Personality, 72(5), 911–938.
Wang, Q., and Ross, M. (2007). Culture and memory. In H. Kitayama and D. Cohen (Eds.), Handbook of Cultural Psychology (pp. 645–667). New York: Guilford Press.
Wang, S., and Gathercole, S.E. (2013). Working memory deficits in children with reading difficulties: Memory span and dual task coordination. Journal of Experimental Child Psychology, 115(1), 188–197.
Wang, Y.-S., Wu, M.-C., and Wang, H.-Y. (2009). Investigating the determinants and age and gender differences in the acceptance of mobile learning. British Journal of Educational Technology, 40(1), 92–118.
Wanzek, J., Vaughn, S., Scammacca, N.K., Metz, K., Murray, C.S., Roberts, G., and Danielson, L. (2013). Extensive reading interventions for students with reading difficulties after grade 3. Review of Educational Research, 83(2), 163–195. doi:10.3102/0034654313477212.
Warschauer, M., and Grimes, D. (2008). Automated writing in the classroom. Pedagogies: An International Journal, 3, 22–26. doi:10.1080/15544800701771580.
Warschauer, M., and Matuchniak, T. (2010). New technology and digital worlds: Analyzing evidence of equity in access, use, and outcomes. Review of Research in Education, 34(1), 179–219.
Wasserberg, M.J. (2014). Stereotype threat effects on African American children in an urban elementary school. The Journal of Experimental Education, 82(4), 502–517. doi.org/10.1080/00220973.2013.876224.
Wei, X., Yu, J.W., Shattuck, P., McCracken, M., and Blackorby, J. (2013). Science, technology, engineering, and mathematics (STEM) participation among college students with an autism spectrum disorder. Journal of Autism and Developmental Disorders, 43(7), 1539–1546. doi:10.1007/s10803-012-1700-z.
Wenglinsky, H. (2005). Using Technology Wisely: The Keys to Success in Schools. New York: Teachers College Press.
Wertsch, J.V. (1991). Voices of the Mind: A Sociocultural Approach to Mediated Action. Cambridge, MA: Harvard University Press.
Wheeler, M.A., Stuss, D.T., and Tulving, E. (1997). Toward a theory of episodic memory: The frontal lobes and autonoetic consciousness. Psychological Bulletin, 121(3), 331–354.
Whipp, J.L., and Chiarelli, S. (2004). Self-regulation in a Web-based course: A case study. Educational Technology Research and Development, 52(4), 5–22.
Wiesel, T.N., and Hubel, D.N. (1965). Extent of recovery from the effects of visual deprivation in kittens. Journal of Neurophysiology, 28(6), 1060–1072.
Wigfield, A., and Eccles, J.S. (2000). Expectancy-value theory of achievement and motivation. Contemporary Educational Psychology, 25(1), 68-81. https://doi.org/10.1006/ceps.1999.1015.
Wiley, J., Goldman, S., Graesser, A., Sanchez, C., Ash, I., and Hemmerich, J. (2009). Source evaluation, comprehension, and learning in Internet science inquiry tasks. American Educational Research Journal, 46(4), 1060–1106.
Wiliam, D. (2010). The role of formative assessment in effective learning environments. In H. Dumont, D. Istance, and F. Benavides (Eds.), The Nature of Learning: Using Research to Inspire Practice (pp. 135–159). Paris, France: OECD. doi.org/10.1787/9789264086487-8-en.
Wiliam, D. (2013). Feedback and instructional correctives. In J.H. McMillan (Ed.), Handbook of Research on Classroom Assessment (Chapter 12). Thousand Oaks, CA: SAGE. doi.org/10.4135/9781452218649.n12.
Wilkinson, I.A., and Fung, I.Y., Y. (2002). Small-group composition and peer effects. International Journal of Educational Research, 37(5), 425–447.
Willcutt, E.G., Pennington, B.F., Chhabildas, N.A., Olson, R.K., and Hulslander, J.L. (2005). Neuropsychological analyses of comorbidity between RD and ADHD: In search of the common deficit. Developmental Neuropsychology, 27(1), 35–78.
Williams, J.J., and Lombrozo, T. (2010). The role of explanation in discovery and generalization: Evidence from category learning. Cognitive Science, 34(5), 776–806. doi:10.1111/j.1551-6709.2010.01113.x.
Williams, J.J., and Lombrozo, T. (2013). Explanation and prior knowledge interact to guide learning. Cognitive Psychology, 66(1), 55–84. doi:10.1016/j.cogpsych.2012.09.002.
Williams, D.L., Goldstein, G., and Minshew, N.J. (2006). The profile of memory function in children with autism. Neuropsychology, 20(1), 21–29.
Williams, J.J., Lombrozo, T., and Rehder, B. (2013). The hazards of explanation: Overgeneralization in the face of exceptions. Journal of Experimental Psychology: General, 142(4), 1006–1014. doi:10.1037/a0030996.
Willingham, E.B., Nissen, M.J., and Bullemer, P. (1989). On the development of procedural knowledge. Journal of Experimental Psychology. Learning, Memory, and Cognition, 15(6), 1047–1060.
Willis, P. (1977). Learning to Labour. Farnborough, UK: Saxon House.
Wilson, R.S., Krueger, K.R., Arnold, S.E., Schneider, J.A., Kelly, J.F., Barnes, L.L., Tang, Y., and Bennett, D.A. (2007). Loneliness and risk of Alzheimer disease. Archives of General Psychiatry, 64(2), 234–240.
Winkler-Rhoades, N., Medin, D., Waxman, S.R., Woodring, J., and Ross, N.O. (2010). Naming the animals that come to mind: Effects of culture and experience on category fluency. Journal of Cognition and Culture, 101(2), 205–220.
Witkow, M.R., and Fuligni, A.J. (2007). Achievement goals and daily school experiences among adolescents with Asian, Latino, and European American backgrounds. Journal of Educational Psychology, 99(3), 584–596. doi.org/10.1037/0022-0618.104.22.1684.
Wolfson, N.E., Cavanagh, T.M., and Kraiger, K. (2014). Older adults and technology-based instruction: Optimizing learning outcomes and transfer. Academy of Management Learning and Education, 13(1), 26–44. doi.org/10.5465/amle.2012.0056.
Woloshyn, V.E., Paivio, A., and Pressley, M. (1994). Use of elaborative interrogation to help students acquire information consistent with prior knowledge and information inconsistent with prior knowledge. Journal of Educational Psychology, 86(1), 79–89. doi:10.1037/0022-0622.214.171.124.
Wolters, C.A. (2004). Advancing achievement goal theory: Using goal structures and goal orientations to predict students’ motivation, cognition, and achievement. Journal of Educational Psychology, 96(2), 236–250. doi.org/10.1037/0022-06126.96.36.199.
Wood, W., Quinn, J.M., and Kashy, D.A. (2002). Habits in everyday life: Thought, emotion, and action. Journal of Personality and Social Psychology, 83(6), 1281–1297. doi:10.1037//0022-35188.8.131.521.
Woody, W.D., Daniel, D.B., and Baker, C.A. (2010). E-books or textbooks: Students prefer textbooks. Computers and Education, 55(3), 945–948. doi.org/10.1016/j.compedu.2010.04.005.
Wouters, P., and van Oostendorp, H. (Eds.). (2017). Instructional Techniques to Facilitate Learning and Motivation of Serious Games. CITY: Switzerland: Springer International.
Wouters, P., van Nimwegen, C., van Oostendorp, H., and van der Spek, E.D. (2013). A metaanalysis of the cognitive and motivational effects of serious games. Journal of Educational Psychology, 105(2), 249–265.
Wu, Y.T., Prina, A.M., and Brayne, C. (2015). The association between community environment and cognitive function: A systematic review. Social Psychiatry and Psychiatric Epidemiology, 50(3), 351–362.
Wylie, R., and Chi, M.T.H. (2014). The self-explanation principle in multimedia learning. In R.E. Mayer (Ed.), Cambridge Handbooks in Psychology (2nd ed., pp. 413–432, xvii, 930). New York: Cambridge University Press.
Wylie, C., Ciofalo, J., and Mavronikolas, E. (2010). Documenting, Diagnosing and Treating Misconceptions: Impact on Student Learning. Paper presentation at the annual meeting of the American Educational Research Association, Denver, CO.
Xin, Y.P., and Jitendra, A.K. (1999). The effects of instruction in solving mathematical word problems for students with learning problems: A meta-analysis. The Journal of Special Education, 32(4), 207–225.
Xu, D., and Jaggars, S.S. (2011a). Online and Hybrid Course Enrollment and Performance in Washington State Community and Technical Colleges. CCRC Working Paper No. 31. New York: Columbia University, Teachers College, Community College Research Center.
Xu, D., and Jaggars, S.S. (2011b). The effectiveness of distance education across Virginia’s community colleges: Evidence from introductory college-level math and English courses. Educational Evaluation and Policy Analysis, 33(3), 360–377.
Yannier, N., Hudson, S.E., Wiese, E.S., and Koedinger, K.R. (2016). Adding physical objects to an interactive game improves learning and enjoyment: Evidence from EarthShake. ACM Transaction on Computer-Human Interaction, 23(4), Article 26:1-31.
Yarnall, L., and Haertel, G. (2016). CIRCL Primer: Evidence-Centered Design. In CIRCL Primer Series. Available: http://circlcenter.org/evidence-centered-design/ [July 2018].
Yeager, D.S., and Walton, G.M. (2011). Social-psychological interventions in education: They’re not magic. Review of Educational Research, 81(2), 267–301.
Yeager, D.S., Walton, G.M., Brady, S.T., Akcinar, E.N., Paunesku, D., Keane, L., Kamentz, D., Ritter, G., Duckworth, A.L., Urstein, R., Gomez E., Markus, H.R. Cohen, G.L., and Dweck, C.S. (2016). Teaching a lay theory before college narrows achievement gaps at scale. Proceedings of the National Academy of Sciences of the United States of America, 113(24), E3341–E3348.
Zacks, J.M., Tversky, B., and Iyer, G. (2001). Perceiving, remembering, and communicating structure in events. Journal of Experimental Psychology: General, 130(1), 29–58.
Zeki, S., Romaya, J.P., Benincasa, D.M., and Atiyah, M.F. (2014). The experience of mathematical beauty and its neural correlates. Frontiers in Human Neuroscience, 8, 68. doi.org/10.3389/fnhum.2014.00068.
Zimmerman, B.J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P.R., Pintrich and M. Zeidner (Eds.), Handbook of Self Regulation (pp. 13–39). San Diego, CA: Academic Press.
Zimmerman, B.J. (2002). Achieving self-regulation: The trial and triumph of adolescence. In F. Pajares and T. Urdan (Eds.), Academic Motivation of Adolescents (vol. 2, pp. 1–27). Greenwich, CT: Information Age.
Zola, S.M., and Squire, L.R. (2000). The medial temporal lobe and the hippocampus. In E. Tulving and F.I.M. Craik (Eds.), The Oxford Handbook of Memory (pp. 485–500). New York: Oxford University Press.
Zusho, A., and Njoku, H. (2007). Culture and motivation to learn: Exploring the generalizability of achievement goal theory. In F. Salili and R. Hoosain (Eds.), Culture, Motivation, and Learning: A Multicultural Perspective (pp. 91–113). Charlotte, NC: Information Age.
Zusho, A., Pintrich, P.R., and Cortina, K.S. (2005). Motives, goals, and adaptive patterns of performance in Asian American and Anglo American students. Learning and Individual Differences, 15(2), 141–158. doi.org/10.1016/j.lindif.2004.11.003.
Zusho, A., Anthony, J.S., Hashimoto, N., and Robertson, G. (2014). Do video games provide motivation to learn? In F.C. Blumberg (Ed.), Learning by Playing: Video Gaming in Education (pp. 69–86). New York: Oxford University Press.