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Geek genes, prior knowledge, stumbling points and learning edge momentum: parts of the one elephant?

Published:12 August 2013Publication History

ABSTRACT

Computing academics report bimodal grade distributions in their CS1 classes. Some academics believe that such a distribution is due to their being an innate talent for programming, a "geek gene". Robins introduced the concept of learning edge momentum, which offers an alternative explanation for the purported bimodal grade distribution. In this paper, we analyze empirical data from a real introductory programming class, looking for evidence of geek genes, learning edge momentum and other possible factors.

References

  1. Robins, A. (2010) Learning edge momentum: A new account of outcomes in CS1. Comp. Sci. Ed., 20(1), 37--71.Google ScholarGoogle ScholarCross RefCross Ref
  2. Schilling, M., Watkins, A. and Watkins, W. (2002). Is Human Height Bimodal? The American Statistician 56 (3): 223--229. DOI:10.1198/00031300265Google ScholarGoogle ScholarCross RefCross Ref

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  1. Geek genes, prior knowledge, stumbling points and learning edge momentum: parts of the one elephant?

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    • Published in

      cover image ACM Conferences
      ICER '13: Proceedings of the ninth annual international ACM conference on International computing education research
      August 2013
      202 pages
      ISBN:9781450322430
      DOI:10.1145/2493394

      Copyright © 2013 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 12 August 2013

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      ICER '13 Paper Acceptance Rate22of70submissions,31%Overall Acceptance Rate189of803submissions,24%

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