Below are the first 10 and last 10 pages of uncorrected machine-read text (when available) of this chapter, followed by the top 30 algorithmically extracted key phrases from the chapter as a whole.
Intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text on the opening pages of each chapter.
Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.
Do not use for reproduction, copying, pasting, or reading; exclusively for search engines.
OCR for page 1
1
Introduction
T
here is growing recognition that individuals need a wide array of
skills in order to meet the needs of the modern workplace. Gone
are the days when a multitude of jobs were available that required
workers to perform simple manual tasks. The introduction of technology,
particularly the use of computers, has changed the way that workers
perform their tasks and the types of training and skills that workers need
in order to complete these tasks. Research has shown that the use of com-
puters has eliminated the need for humans to perform tasks that involve
solving routine problems or communicating straightforward informa -
tion (Autor, Levy, and Murnane, 2003; Levy and Murnane, 2004). Non -
routine problem-solving and complex communication and social skills
are becoming increasingly valuable in the labor market. The modern
workplace requires workers to have broad cognitive and affective skills.
Often referred to as “21st century skills,” these skills include being able
to solve complex problems, to think critically about tasks, to effectively
communicate with people from a variety of different cultures and using
a variety of different techniques, to work in collaboration with others, to
adapt to rapidly changing environments and conditions for performing
tasks, to effectively manage one’s work, and to acquire new skills and
information on one’s own.
The National Research Council (NRC) has convened two prior work-
shops on the topic of 21st century skills. The first, held in 2007, was
designed to examine research on the skills required for the 21st century
workplace and the extent to which they are meaningfully different from
1
OCR for page 2
2 ASSESSING 21ST CENTURY SKILLS
earlier eras and require corresponding changes in educational experiences.
One theme from that workshop was that across the entire labor market—
from high-wage biotechnology scientists and computer sales engineers
to low-wage restaurant servers and elder caregivers—five skills appear
to be increasingly valuable: adaptability, complex communication skills,
nonroutine problem-solving skills, self-management/self-development;
and systems thinking (National Research Council, 2008).
The second workshop, held in 2009, was designed to explore demand
for these types of skills, consider intersections between science education
reform goals and 21st century skills, examine models of high-quality sci -
ence instruction that may develop the skills, and consider science teacher
readiness for 21st century skills. A message that emerged from this work -
shop was that although some new assessments incorporate items that
appear promising as potential measures of students’ 21st century skills,
additional research may be needed in order to more clearly define the con-
structs and to develop frameworks for assessment of these skills (National
Research Council, 2010).
The present workshop was intended to delve more deeply into the
topic of assessment. The goal for this workshop was to capitalize on the
prior efforts and explore strategies for assessing the five skills identified
earlier. The Committee on the Assessment of 21st Century Skills was
asked to organize a workshop that reviewed the assessments and related
research for each of the five skills identified at the previous workshops,
with special attention to recent developments in technology-enabled
assessment of critical thinking and problem-solving skills.
In designing the workshop, the committee collapsed the five skills
into three broad clusters as shown below:
Cognitive skills: nonroutine problem solving, critical thinking, sys-
tems thinking
Interpersonal skills: complex communication, social skills, team-
work, cultural sensitivity, dealing with diversity
Intrapersonal skills: self-management, time management, self-
development, self-regulation, adaptability, executive functioning
The committee commissioned a set of papers to examine the research
on assessing skills within each of these broad clusters and identified
examples of assessments of the skills to feature at the workshop. The
workshop was held in two parts. The first, convened in Irvine, California,
in January 2011, was more technical in focus. The second, held in Wash-
ington, DC, in May 2011, was more policy focused. This report provides
an integrated summary of the presentations and discussions from both
parts of the workshop.
OCR for page 3
3
INTRODUCTION
The remainder of this chapter is intended to provide context for the
report, describing the changes in both the labor force and the workplace
over the past few decades and discussing the skills that workers need to
adequately perform in the currently available jobs. Chapter 2 discusses
the skills included within the cognitive cluster. The chapter first explores
issues related to defining these constructs, then presents four examples
of assessments of these constructs, and concludes with a discussion of
the strengths and weaknesses of these assessments. Chapters 3 and 4 fol-
low the same format for skills within the interpersonal and intrapersonal
clusters, respectively. Chapter 5 summarizes two workshop presentations
that focused on key measurement issues to consider when developing
assessments of 21st century skills. Chapter 6 concludes with workshop
participants’ synthesis of important points raised over the course of the
two workshops and a discussion of the policy implications.
It is important to be specific about the nature of this report, which is
intended to document the information presented in the workshop pre -
sentations and discussions and lay out the key ideas that emerged from
the workshop. As such, the report is confined to the material presented
by the workshop speakers and participants. Neither the workshop nor
this summary is intended as a comprehensive review of what is known
about assessing 21st century skills, although it is a general reflection of
the literature. The presentations and discussions were limited by the time
available for the workshop.
This summary was prepared by an independent rapporteur, and it
does not represent findings or recommendations that can be attributed to
the steering committee. The steering committee was responsible only for
the quality of the agenda and the selection of participants. The workshop
was not designed to generate consensus conclusions or recommendations
but focused instead on the identification of ideas, themes, and consider-
ations that contribute to an understanding of assessing 21st century skills.
THE CHANGING NATURE OF THE WORKPLACE
Richard Murnane, an economist with the Harvard School of Educa-
tion, opened the workshop with a presentation about the changes that
are occurring in the workplace and the types of skills workers will need
to perform these tasks. He began by presenting two graphs—one for
men and one for women—that displayed average hourly wages from
1979 through 2007 for individuals grouped by their education level.1
These graphs, reproduced as Figures 1-1 and 1-2, show wage informa-
1 Murnane’s presentation is available at http://www7.nationalacademies.org/bota/21st_
Century_Workshop_Murnane.pdf [August 2011].
OCR for page 4
4 ASSESSING 21ST CENTURY SKILLS
Advanced Degree
40
35
Hourly Wages (2007 $)
30
4-Year College
Degree
25
High School
Diploma
20
15
10 Less Than High
School
5
1979 1983 1987 1991 1995 1999 2003 2007
Year
FIGURE 1-1 Men’s real hourly wage by education, 1979-2007 (2007 dollars).
Figure 1-1.eps
SOURCE: Richard Murnane’s presentation. Used with permission.
35
Advanced
Degree
30
Hourly Wages (2007 $)
25
4-Year
20 College Degree
High School
15
Diploma
10
Less Than High
School
5
1979 1983 1987 1991 1995 1999 2003 2007
Year
FIGURE 1-2 Women’s real hourly wage by education, 1979-2007 (2007 dollars).
SOURCE: Richard Murnane’s presentation. Used with permission.
Figure 1-2.eps
OCR for page 5
5
INTRODUCTION
tion for individuals with less than a high school diploma (bottom line,
marked with diamonds), a high school diploma (next line up, marked
with squares), an undergraduate college degree (4 years of college, line
marked with x’s), and advanced degrees (top line). The graphs reveal a
steady increase in the differences in wages by education level for both
men and women.
Over the years, the average hourly wages for men with high school
diplomas or less changed very little, and by 2007, were slightly lower
than in 1979. However, average hourly wages for men with at least a col -
lege degree steadily increased over the years to nearly $30 for those with
college degrees and nearly $40 for those with advanced degrees. In 2007,
men with advanced degrees made more than 2½ times as much per hour
as men with less than a high school diploma. The same pattern holds for
women, although women averaged lower hourly pay at each education
level than their male counterparts. Murnane interpreted this information
as indicating that educational attainment appears to play a larger role
today in explaining average earnings than it did in 1979, noting “the gap
between the premium [that] employers pay college graduates relative to
high school graduates” has grown.
Economists tend to think in terms of supply and demand. In this
context, “supply” refers to the characteristics and qualifications of indi -
viduals available to work, in other words, the characteristics of the labor
force. Likewise, “demand” refers to the characteristics and qualifications
that employers are looking for in their employees. In the labor force the
two work together to influence wages. When demand for certain types of
skills is high but the supply of workers with these skills is low, employers
will pay more to get the workers they need. When there is a large supply
of workers with certain skills but little demand for these skills, employ -
ers will pay less. Murnane suggested one explanation for the trends seen
in the graphs is that the demand-side of what employers wanted did
not change, while the supply-side of the available labor force did. That
is, it could be that the labor force includes fewer college graduates rela -
tive to high school graduates than in the past, creating a situation where
employers needed to pay higher wages to the relatively small proportion
of available individuals with the needed qualifications. The data do not
support this explanation, however.
To explain, Murnane displayed a graph comparing the educational
attainment of the U.S. labor force in 1980 and 2000. Figure 1-3 shows the
percentage of the labor force that dropped out of high school, graduated
from high school, completed some college, and completed 4 years or more
of college. For each education level, the left-most bar shows the percent
for 1980 and the right-most bar shows the percent for 2000. As Figure
1-3 shows, the percentage of the labor force with at least some college
OCR for page 6
6 ASSESSING 21ST CENTURY SKILLS
40
35 1980 2000
30
25
Percentage
20
15
10
5
0
HS Dropout HS Graduate Some College 4-Yr College or More
FIGURE 1-3 Educational attainment of the U.S. labor force, 1980 (left bar) and
Figure 1-3.eps
2000 (right bar).
SOURCE: Richard Murnane’s presentation. Used with permission.
has increased since 1980; thus, it does not appear to be that the supply
of college-educated people has decreased. Instead, Murnane believes the
pay differences are more likely related to changes on the demand-side of
the equation: employers are increasingly interested in individuals not just
with a college education but who have certain types of skills.
If this is indeed the explanation, what changes have occurred on
the demand-side that would help to account for it? Murnane suggested
two related factors. First, there is increased use of computers and other
forms of technology, and workers need training in order to make use of
these technologies. Those who have this training are more suited to the
available jobs, more attractive to employers, and more likely to obtain the
higher-paying jobs.
Second, the use of computers interacts with the kinds of jobs avail-
able. Computers are particularly good at performing some types of jobs,
OCR for page 7
7
INTRODUCTION
such as those that require routine tasks, rely on rule-based logic, and
can be programmed. Increasingly, computers are replacing humans in
performing these types of jobs. For instance, Murnane explained, airline
passengers rarely get boarding passes from humans any longer, the use
of automated self-checkout lines at the grocery store is growing, and
most people do their banking with automated teller machines. Comput-
ers are not appropriate for other types of jobs, however, such as those
that do not follow rule-based logic, those that require on-the-spot judg-
ments, and those in which human interaction is essential. Some of these
kinds of jobs—such as personnel managers and classroom teachers—
require advanced training. Others—such as waiting on tables, caring for
the elderly, and serving as a short order cook—require little advanced
training.
Murnane said the growing income difference is due to an increased
need for individuals to work in jobs that require technological skills,
while, at the same time, there is a decreased need for individuals to
perform routine tasks that can be computerized. Individuals without
advanced training are employed in service jobs for which pay has been
steady over time. Individuals with advanced training are working in the
other jobs, in which pay has steadily increased.
Murnane argued that data on the types of jobs available supports this
hypothesis. Figure 1-4 shows the percentage of people working in seven
major job categories in 1979 and 2009. The job categories are arranged in
order (left to right) from lowest paying to highest paying. In 1979, nearly
50 percent of the labor force was employed in blue collar and administra -
tive support jobs. By 2009, the occupational distribution had shifted con -
35
30
1979 2009
25
20
Percentage
15
10
5
0
Service Blue Collar Administrative Sales-Related Technicians Professional Managers and
Support Occupations Administrators
Figure 1-4.eps
FIGURE 1-4 Distribution of occupations in the United States, 1979 and 2009.
SOURCE: Richard Murnane’s presentation. Used with permission.
OCR for page 8
8 ASSESSING 21ST CENTURY SKILLS
siderably, with large declines in the percentage of individuals employed
in blue color or administrative work and increases in the percentages of
individuals employed in service occupations, professional occupations,
and as managers or administrators.
So, which skills do people need in order to be attractive to employers
and to perform well in these jobs? With his colleagues Autor and Levy,
Murnane has studied the tasks required for various jobs. The researchers
group the tasks into four categories:
1. Routine cognitive tasks, such as bookkeeping and filing
2. Routine manual tasks, such as assembly line work
3. Tasks that require expert thinking, such as identifying and solving
new problems
4. Tasks that require complex communication, such as eliciting criti-
cal information and conveying a convincing interpretation of it
The researchers compiled data on the percentage of available jobs that
require these four types of tasks and tracked the trends over a 30-year
period (from 1969 to 1998). This information is displayed in Figure 1-5.
In this figure the x-axis notes the years studied. The y-axis notes the
change in the percentage of jobs that require the tasks, using 1969 as the
14 Complex Communication
12
Percentage Change in 1969 Distribution
10
Expert Thinking
8
6
4
2
0
1969 1980 1990 1998
-2
Routine Manual
-4
-6
Routine Cognitive
-8
-10
FIGURE 1-5 Economy-wide measures of routine and nonroutine task input: 1969-
Figure 1-5.eps
1998 (1969 = 0).
SOURCE: Levi and Murnane (2004). Reprinted with permission of Princeton
University.
OCR for page 9
9
INTRODUCTION
base year. Thus, the figure shows that the percentage of jobs that require
routine cognitive tasks (line marked with black triangles) was steady
from 1969 to 1980 and then began a steady decline. Likewise, the per-
centage of jobs that require routine manual tasks (line marked with gray
squares) was relatively steady until 1990 and then began to decline. The
top two lines show that the percentages of jobs that require expert think -
ing (line marked with gray diamonds) and complex communication (line
marked with black squares) have steadily increased since 1969. Murnane
interpreted this information as demonstrating that expert thinking and
complex communication are clearly tasks that are increasingly in demand
by employers.
Murnane has done additional work to explore the components of
expert thinking and complex communication in order to better understand
the attributes that are most important for the available jobs. His studies
reveal that the components of expert thinking include the following:
• Within a domain, workers need a deep understanding of the
domain and relationships within it
• Pattern recognition
• A sense of initiative (i.e., when you see a new task, is this a chal-
lenge you are anxious to take on or one you shy away from?)
• Metacognition (i.e., monitoring your own problem solving)
Likewise, the components of complex communication include the
following:
• Observing and listening
• Eliciting critical information
• Interpreting the information
• Conveying the interpretation to others
At the workshop, Deborah Boisvert, a researcher with the Boston
Advanced Technological Education Connection (BATEC), presented sur-
vey results that provide additional insight on the skills workers need in
the current job market.2 In 2007, BATEC conducted a survey designed
to learn more about the skills employers sought in their employees. The
skills rated most highly by the survey respondents included the following:
2 Boisvert’s presentation is available at http://www7.national-academies.org/bota/21st_
Century_Workshop_Boisvert.pdf [August 2011]. Additional information about BATEC is
available at http://www.BATEC.org [August 2011].
OCR for page 10
10 ASSESSING 21ST CENTURY SKILLS
• Communication skills (oral and written)
• Ability to work productively in teams and groups (teamwork
skills)
• Customer and business focus (understanding the big picture)
• Ability to listen for meaning and comprehension
• Ability to prioritize work and self-evaluate (self-reflection and
time management)
• Development of original solutions to novel problems (problem
solving)
• Ability to lead and act responsibility (leadership and ethics)
Boisvert said that in follow-up interviews, survey respondents told
her and her colleagues “while technical skills may help someone get an
interview, it is the soft skills [such as those listed above] that get the per-
son the job.”
Further evidence of the importance of these skills is documented in
a recent study that Murnane discussed. Lindqvist and Westman (2011)
conducted a study on the labor market outcomes for men in Sweden using
a large sample of 18-year-old males enlisted in the country’s military. The
study examined the relationships between cognitive and noncognitive
skills and labor market outcomes. The noncognitive skills assessed were
• Willingness to assume responsibility
• Independence
• Outgoing character
• Persistence
• Emotional stability
• Initiative
• Social skills
Their research findings indicated that compared to measures of cog-
nitive skills, measures of noncognitive skills were stronger predictors of
wages,3 stronger predictors of employment status,4 and stronger predic-
tors of annual earnings.5
3A one standard deviation increase in the measure of noncognitive skills predicted an
increase in wages by 9 percent, or one third of a standard deviation, compared to 5 percent
for cognitive ability.
4 A one standard deviation increase in the measure of noncognitive skills predicted a
decrease in the probability of receiving employment support by 3.3 percentage points,
compared to 1.1 percentage points for cognitive skills. Men with higher scores on the
measure of noncognitive skills had shorter periods of unemployment, while cognitive ability
had no statistically significant effect on the duration of unemployment.
5 A one standard deviation increase in the measure of noncognitive skills predicted a
OCR for page 11
11
INTRODUCTION
Murnane concluded his remarks by noting that he had focused his
presentation on the relationships between 21st century skills and labor
market outcomes, in part because labor market research provides a rich
source of evidence about the importance of these skills. Nevertheless, he
said he would argue that 21st century skills are needed in many aspects
of life besides the workplace. As he put it, these skills are essential for
“leading a contributing life in a pluralistic democracy.” He enumerated
the complex set of problems that the country faces, including such issues
as immigration, global warming, and proliferation of nuclear weapons.
In his view, understanding these problems and participating in their
solutions requires a well-educated citizenry adept at expert thinking and
complex communication.
PREPARING STUDENTS FOR THE MODERN WORKPLACE
Are students graduating from high school with adequate prepara-
tion in these 21st century skills? At the workshop, representatives from
the cosponsors of the project—the National Science Foundation (NSF)
and the National Institutes of Health (NIH)— provided some insight on
this issue. Gerhard Salinger, program director with the Directorate for
Education and Human Resources at NSF, discussed his work with the
advanced technological education program, an effort focused on techni -
cian education at the 2-year college level. This program is intended to
educate students for middle skill jobs, occupations that require more than
a secondary education but not necessarily 4 years of higher education.
Middle skill jobs account for 50 percent of all jobs in the United States,
Salinger said. He noted that the feedback he and his colleagues routinely
receive from employers is that employees are lacking in 21st century
skills. Furthermore, industry representatives have advised Salinger that
these skills are not easily learned on the job. Based on his research and
discussions with faculty members, Salinger judges that these skills are
best learned in an academic setting. Salinger advocates for ensuring that
students learn these skills before they leave high school. In part, this is
because he believes that these are skills that everyone needs—not just for
the workplace, higher education, or vocational/technical training—–but
for dealing with all aspects of life.
Bruce Fuchs, director of the Office of Science Education at NIH, pre-
sented data on the problem-solving skills of students in the United States.
The Programme for International Student Assessment (PISA) has rou-
decrease in the probability that annual earnings fall short of the tenth percentile of the
earnings distribution by 4.7 percentage points. The corresponding figure for cognitive ability
fell from 1.5 to 0.2 percentage points.
OCR for page 12
12 ASSESSING 21ST CENTURY SKILLS
FIGURE 1-6 Percentage of students at each level of proficiency on the problem-
solving scale of PISA 2003.
Figure 1-6.eps
SOURCE: Organisation for Economic Co-operation and Development (2005).
bitmap
Problem Solving for Tomorrowís World: First Measures of Cross-Curricular Com-
petencies from PISA 2003, http: //dx.doi.org/10.1787/9789264006430-en.
tinely conducted assessments in mathematics, reading, and science. In
2003 an assessment of problem-solving skills was included. Fuchs said
that he was “stunned” at the results for U.S. students, which he character-
ized as much lower than he had expected.
PISA results are reported using four performance levels: “Level 3”
(highest), “Level 2,” “Level 1,” and “below Level 1” (lowest). Figure 1-6
shows the percentage of students from each participating country that
scored at each performance level. The solid horizontal line at zero on the
y-axis indicates the percentage of students at or below Level 1 (below the
line) and at or above Level 2 (above the line). On the x-axis, the coun -
tries are ranked in descending order by the percentage of 15-year-olds
in Levels 2 and 3. Fuchs highlighted three pieces of information on the
graph. First, he noted that U.S. students rank ordered 29th compared to
students in other countries. Second, he pointed out that 57 percent of the
U.S. students taking the test scored below Level 2 (below the solid black
line). Third, he called attention to the small percentage of students scoring
OCR for page 13
13
INTRODUCTION
at Level 3, which he described as only one-third to one-half of that for the
top scoring countries on the assessment.6
To exemplify the types of skills that are assessed, he described one of
the items that was administered to the 15-year-olds taking the assessment.
The item presented students with a map in which six fictional towns were
noted (Kado, Lapat, Angaz, Megal, Piras, and Nuben), and a mileage
legend that indicated the road distance of the towns from each other. The
item presented students with two tasks:
1. Calculate the shortest distance by road between Nuben and Kado.
2. Zoe lives in Angaz. She wants to visit Kado and Lapat. She can
only travel up to 300 kilometers in any one day but can break her
journey by camping overnight anywhere between towns. Zoe will
stay for two nights in each town so that she can spend one whole
day sightseeing in each town. Show Zoe’s itinerary by completing
the following table to indicate where she stays each night.
Day Overnight Stay
1 Camp site between Angaz and Kado
2
3
4
5
6
7 Angaz
Fuchs said that the sample item was one of the more complicated
items on the assessment and was classified as a Level 3 item. Given that
few of the U.S. students scored at a Level 3, most U.S. students would not
have been able to answer this question correctly.
During discussion sessions, participants commented that the work -
shop was being held at an opportune time. Several commented about
two reform movements currently underway. First, the National Gover-
6 Results from more recent administrations of PISA are similar. For results from the 2006
assessment, see the Organisation for Economic Co-operation and Development (2007) PISA
2006: Science Competencies for Tomorrow’s World Executive Summary, available at http://www.
oecd.org/dataoecd/15/13/39725224.pdf [July 2011]. For results from the 2009 assessment,
see the Organisation for Economic Co-operation and Development (2010), PISA 2009 Results:
Executive Summary, available at http://www.oecd.org/dataoecd/34/60/46619703.pdf [July
2011]. Also see, ACT (2011) Affirming the Goal, available at http://www.act.org/research/
policymakers/pdf/AffirmingtheGoal.pdf [July 2011].
OCR for page 14
14 ASSESSING 21ST CENTURY SKILLS
nors Association (NGA) and the Council of Chief State School Officers
(CCSSO) have led an effort by the states to change the standards for edu -
cating K-12 students in reading and math. Known as the “Common Core
Standards Initiative,” this effort is working first to identify the skills that
students need and have all states in the country adopt these standards
and second to develop assessments of these skills.7 Second, the Race to the
Top initiative sponsored by the U.S. Department of Education is capital -
izing on this effort in supporting consortia of states in their work to design
assessments to measure these standards.8 The focus of both efforts is to
ensure that students graduate from high school with skills that make them
college and career ready. Participants also pointed out that the National
Assessment of Educational Progress (NAEP) has been working to define
and develop an assessment of college and career readiness, and assessing
college readiness has been a prime focus of organizations such as ACT,
the College Board, and the Educational Testing Service (ETS). Thus, there
is considerable work underway on this issue.
Developing assessments of these skills was an issue that several par-
ticipants highlighted as critical. As one workshop participant put it, “what
is tested is taught and what is not tested is not taught.” Assessments often
serve the purpose of defining the standards and laying out priorities
for instruction. If assessments focus solely on students’ achievements in
factual knowledge, this type of information will be the focus of teaching.
To ensure that students acquire and show progress in 21st century skills,
assessments need to be available to evaluate their performance in these
areas. Participants noted that this should include assessments designed
for both summative and formative uses.9 The remaining chapters of this
report focus on developing assessments of these skills. Specifically: How
can these skills be assessed? What assessments are currently available and
how well do they work? What needs to be done in order to develop these
types of assessments? And how should the results be used?
7 Further information can be found at http://www.corestandards.org/ [June 2011].
8 Authorized under the American Recovery and Reinvestment Act of 2009 (ARRA), the
Race to the Top Assessment Program provides funding to consortia of states to develop
assessments that are valid, support and inform instruction, provide accurate information
about what students know and can do, and measure student achievement against standards
designed to ensure that all students gain the knowledge and skills needed to succeed in
college and the workplace. (See http://www2.ed.gov/programs/racetothetop-assessment/
index.html [May 2011].)
9 See Chapter 5 for an explanation of formative and summative assessment.