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

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.

DOI: 10.1145/2493394.2493416

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Cite this paper

@inproceedings{Ahadi2013GeekGP, title={Geek genes, prior knowledge, stumbling points and learning edge momentum: parts of the one elephant?}, author={Alireza Ahadi and Raymond Lister}, booktitle={ICER}, year={2013} }