skip to main content
10.1145/1734263.1734297acmconferencesArticle/Chapter ViewAbstractPublication PagessigcseConference Proceedingsconference-collections
research-article

Developing a validated assessment of fundamental CS1 concepts

Published:10 March 2010Publication History

ABSTRACT

Previous studies of student programming ability have raised questions about students' ability to problem solve, read and analyze code, and understand introductory computing concepts. However, it is unclear whether these results are the product of failures of student comprehension or our inability to accurately measure their performance. We propose a method for creating a language independent CS1 assessment instrument and present the results of our analysis used to define the common conceptual content that will serve as the framework for the exam. We conclude with a discussion of future work and our progress towards developing the assessment.

References

  1. Computing curricula 2001. Journal on Educational Resources in Computing, 1(3es):1--240, 2001.Google ScholarGoogle Scholar
  2. American Educational Research Association, American Psychological Association, and National Council on Measurement in Education. Standards for educational and psychological testing. American Educational Research Association, Washington, DC, 1999.Google ScholarGoogle Scholar
  3. J. Cohoon and J. Davidson. Java 5.0 Program Design. McGraw Hill, Boston, MA, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. C. H. Crouch and E. Mazur. Peer instruction: Ten years of experience and results. American Journal of Physics, 69(9):970--977, September 2001.Google ScholarGoogle ScholarCross RefCross Ref
  5. A. M. Decker. How Students Measure Up: An Assessment Instrument for Introductory Computer Science. PhD thesis, University at Buffalo (SUNY), Buffalo, NY, 2007.Google ScholarGoogle Scholar
  6. H. Deitel and P. Deitel. C++: How to Program. Prentice Hall, Upper Saddle River, NJ, 5th edition, 2005.Google ScholarGoogle Scholar
  7. M. Felleisen, R. B. Findler, M. Flatt, and S. Krishnamurthi. How to Design Programs: An Introduction to Programming and Computing. MIT Press, Cambridge, MA, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. K. Goldman, P. Gross, C. Heeren, G. Herman, L. Kaczmarczyk, M. C. Loui, and C. Zilles. Identifying important and difficult concepts in introductory computing courses using a Delphi process. In SIGCSE '08: Proceedings of the 39th SIGCSE Technical Symposium on Computer Science Education, pages 256---260, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. T. M. Haladyna. Developing and validating multiple-choice test items. Lawrence Erlbaum Associates, Inc., Mahwah, NJ, 3rd edition, 2004.Google ScholarGoogle Scholar
  10. D. Hestenes, M. Wells, and G. Swackhamer. Force concept inventory. The Physics Teacher, 30:141--158, March 1992.Google ScholarGoogle ScholarCross RefCross Ref
  11. C. Horstmann. Java Concepts. John Wiley and Sons, Hoboken, NJ, 4th edition, 2005.Google ScholarGoogle Scholar
  12. C. Horstmann. Big Java. John Wiley and Sons, Hoboken, NJ, 2nd edition, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. J. Lewis and W. Loftus. Java Software Solutions (Java 5.0 version): Foundations of Program Design. Addison Wesley, Boston, MA, 4th edition, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. J. C. Libarkin and S. Anderson. Assessment of learning in entry-level geoscience courses: Results from the geoscience concept inventory. Journal of Geoscience Education, 53:394--401, 2005.Google ScholarGoogle ScholarCross RefCross Ref
  15. E. F. Lindquist, editor. Educational measurement. American Council on Education, Washington, D.C., 1951.Google ScholarGoogle Scholar
  16. R. Lister, E. S. Adams, S. Fitzgerald, W. Fone, J. Hamer, M. Lindholm, R. McCartney, J. E. Moström, K. Sanders, O. Seppälä B. Simon, and L. Thomas. A multi-national study of reading and tracing skills in novice programmers. In ITiCSE-WGR '04: Working group reports from ITiCSE on Innovation and technology in computer science education, pages 119--150, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. D. S. Malik. C++ Programming: From Problem Analysis to Program Design. Thompson Course Technology, Boston, MA, 2nd edition, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. D. S. Malik. Java Programming: From Problem Analysis to Program Design. Thompson Course Technology, Boston, MA, 2nd edition, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. M. McCracken, V. Almstrum, D. Diaz, M. Guzdial, D. Hagan, Y. B.-D. Kolikant, C. Laxer, L. Thomas, I. Utting, and T. Wilusz. A multi-national, multi-institutional study of assessment of programming skills of first-year CS students. SIGCSE Bulletin, 33(4):125--180, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. R. Mercer. Computing Fundamentals with Java. Franklin Beedle and Associates, Wilsonville, OR, 2002.Google ScholarGoogle Scholar
  21. P. A. Moss, B. J. Girard, and L. C. Haniford. Validity in Educational Assessment. Review of Research in Education, 30(1):109--162, 2006.Google ScholarGoogle Scholar
  22. W. Savitch. Java: An Introduction to Problem Solving and Programming, Prentice Hall, Upper Saddle River, NJ, 4th edition edition, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. W. Savitch. Problem Solving with C++: The Object of Programming. Addison Wesley, Boston, MA, 5th edition edition, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. A. E. Tew, W. M. McCracken, and M. Guzdial. Impact of alternative introductory courses on programming concept understanding. In ICER '05: Proceedings of the 2005 International Workshop on Computing Education Research, pages 25--35, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. C. T. Wu. Intro to Object Oriented Programming using Java. McGraw Hill, Boston, MA, 4th edition, 2006.Google ScholarGoogle Scholar
  26. J. M. Zelle. Python Programming: An Introduction to Computer Science, Franklin Beedle, Wilsonville, OR, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Developing a validated assessment of fundamental CS1 concepts

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        SIGCSE '10: Proceedings of the 41st ACM technical symposium on Computer science education
        March 2010
        618 pages
        ISBN:9781450300063
        DOI:10.1145/1734263

        Copyright © 2010 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 10 March 2010

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        Overall Acceptance Rate1,595of4,542submissions,35%

        Upcoming Conference

        SIGCSE Virtual 2024

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader