What kinds of problems require computational thinking? What are some examples?
How, if at all, does computational thinking vary by discipline? What would be the nature of computational thinking for physicists, biologists, engineers, lawyers, physicians, historians, sociologists, teachers, accountants, homemakers, bus drivers, and so on?
What are the exposures and experiences needed to develop the level of computational thinking needed in various disciplines?
What are contemporary issues facing the nation that would benefit from greater development of computational thinking?
What is the value of computational thinking for nonscientists?
How, if at all, would widespread facility with computational thinking enhance the productivity of U.S. workers?
How do we best illustrate the power of computational thinking?
Kevin Ashley, University of Pittsburgh
Chris Hoffmann, Purdue University
Alan Kay, Viewpoints Research Institute, Inc.
Richard Lipton, Georgia Tech
Robert Sproull, Sun Microsystems, Inc.
Committee respondent: M. Brian Blake
Working Lunch—Other Related Ongoing Efforts
Andrew Bernat: CRA Education Committee
Peter Denning: Great Principles of Computing (via video-conference)