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The Persistent Effect of Pre-College Computing Experience on College CS Course Grades

Published:21 February 2018Publication History

ABSTRACT

Many college computer science majors have little or no pre-college computing experience. Previous work has shown that inexperienced students under-perform their experienced peers when placed in the same introductory courses, and are more likely to drop out of the CS program. However, not much is known about what, if any, differences may persist beyond the introductory sequence for students who remain in the program. We conducted a study across all levels of a CS program at a large public university in the United States to determine whether grade differences exist between students with and without pre-college experience, and if so, for what types of experiences. We find significant grade differences in courses at all levels of the program. We further find that students who took AP Computer Science receive significantly higher average grades---by up to a half grade---in nearly all courses we studied. Pre-college experience appears to have a weaker relationship with retention and with low-stakes assessment grades. We discuss the limitations of these findings and implications for high school and college level CS courses and programs.

References

  1. Alireza Ahadi and Raymond Lister. 2013. Geek Genes, Prior Knowledge, Stumbling Points and Learning Edge Momentum: Parts of the One Elephant?. In ICER '13. 123--128. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Christine Alvarado, Cynthia Bailey Lee, and Gary Gillespie. 2014. New CS1 Pedagogies and Curriculum, the Same Success Factors?. In SIGCSE '14. 379--384. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Lecia J. Barker, Melissa O'Neill, and Nida Kazim. 2014. Framing Classroom Climate for Student Learning and Retention in Computer Science. In SIGCSE '14. 319--324. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Marie desJardins and Michael Littman. 2010. Broadening Student Enthusiasm for Computer Science with a Great Insights Course. In SIGCSE '10. 157--161. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Zachary Dodds, Ran Libeskind-Hadas, Christine Alvarado, and Geoff Kuenning. 2008. Evaluating a Breadth-first Cs 1 for Scientists. In SIGCSE '08. 266--270. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Barbara Ericson. Accessed August 20, 2017. AP Data for the United States 1998--2016. http://home.cc.gatech.edu/ice-gt/595. (Accessed August 20, 2017).Google ScholarGoogle Scholar
  7. Mark Guzdial. 2013. Exploring Hypotheses About Media Computation. In ICER '13. 19--26. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Dianne Hagan and Selby Markham. 2000. Does It Help to Have Some Programming Experience Before Beginning a Computing Degree Program?. In ITiCSE '00. 25--28. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Michael Haungs, Christopher Clark, John Clements, and David Janzen. 2012. Improving First-year Success and Retention Through Interest-based CS0 Courses. In Proceedings of the 43rd ACM Technical Symposium on Computer Science Education (SIGCSE '12). ACM, New York, NY, USA, 589--594. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Edward Holden and Elissa Weeden. 2003. The Impact of Prior Experience in an Information Technology Programming Course Sequence. In CITC4 '03. 41--46. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Michael S. Kirkpatrick and Chris Mayfield. 2017. Evaluating an Alternative CS1 for Students with Prior Programming Experience. In Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education (SIGCSE '17). ACM, New York, NY, USA, 333--338. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Külli Kori, Margus Pedaste, -li Leijen, and Eno Tõnisson. 2016. The Role of Programming Experience in ICT Students? Learning Motivation and Academic Achievement. International Journal of Information and Education Technology 6, 5 (2016), 331--337.Google ScholarGoogle ScholarCross RefCross Ref
  13. Jane Margolis. 2008. Stuck in the Shallow End: Education, Race, and Computing. MIT Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. J. Margolis and A. Fisher. 2003. Unlocking the Clubhouse: Women in Computing. MIT Press.Google ScholarGoogle Scholar
  15. Cindy Marling and David Juedes. 2016. CS0 for Computer Science Majors at Ohio University. In SIGCSE '16. 138--143. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Alexis Martin, Frieda McAlear, and Allison Scott. 2015. Path Not Found: Disparities in Computer Science Course Access in California High Schools. Technical Report. Level Playing Field Institute.Google ScholarGoogle Scholar
  17. Monica M. McGill, Adrienne Decker, and Amber Settle. 2016. Undergraduate Students&Rsquo; Perceptions of the Impact of Pre-College Computing Activities on Choices of Major. Trans. Comput. Educ. 16, 4, Article 15 (June 2016), 33 pages. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Leo Porter, Cynthia Bailey Lee, and Beth Simon. 2013. Halving Fail Rates Using Peer Instruction: A Study of Four Computer Science Courses. In SIGCSE '13. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Leo Porter and Beth Simon. 2013. Retaining Nearly One-Third more Majors with a Trio of Instructional Best Practices in CS1. In SIGCSE '13. 165--170. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Anthony Robins. 2010. Learning edge momentum: a new account of outcomes in CS1. Computer Science Education 20, 1 (2010), 37--71.Google ScholarGoogle ScholarCross RefCross Ref
  21. Christine Rogerson and Elsje Scott. 2010. The Fear Factor: How It Affects Students Learning to Program in a Tertiary Environment. Journal of Information Technology Education 9 (2010), 147--171.Google ScholarGoogle ScholarCross RefCross Ref
  22. Beth Simon, Päivi Kinnunen, Leo Porter, and Dov Zazkis. 2010. Experience Report: CS1 for Majors with Media Computation. In ITiCSE '10. 214--218. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Anya Tafliovich, Jennifer Campbell, and Andrew Petersen. 2013. A Student Perspective on Prior Experience in CS1. In SIGCSE '13. 239--244. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Allison Elliott Tew, Charles Fowler, and Mark Guzdial. 2005. Tracking an Innovation in Introductory CS Education from a Research University to a Two-year College. In SIGCSE '05. 416--420. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Elise H. Turner, Erik Albert, Roy M. Turner, and Laurence Latour. 2007. Retaining Majors Through the Introductory Sequence. In SIGCSE '07. 24--28. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Jennifer Wang, Hai Hong, Jason Ravitz, and Marielena Ivory. Gender Differences in Factors Influencing Pursuit of Computer Science and Related Fields. In ITiCSE '15. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      SIGCSE '18: Proceedings of the 49th ACM Technical Symposium on Computer Science Education
      February 2018
      1174 pages
      ISBN:9781450351034
      DOI:10.1145/3159450

      Copyright © 2018 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]

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 21 February 2018

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      SIGCSE '18 Paper Acceptance Rate161of459submissions,35%Overall Acceptance Rate1,595of4,542submissions,35%

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