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

Alireza Ahadi; Raymond Lister

doi:10.1145/2493394.2493416

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

Alireza Ahadi, Raymond Lister

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

28 Citations (Scopus)

Abstract

Computing academics report bimodal grade distributions in their CSl 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.

Original language	English
Title of host publication	ICER 2013
Subtitle of host publication	Proceedings of the 2013 ACM Conference on International Computing Education Research
Place of Publication	New York, NY
Publisher	Association for Computing Machinery
Pages	123-128
Number of pages	6
ISBN (Print)	9781450322430
DOIs	https://doi.org/10.1145/2493394.2493416
Publication status	Published - 2013
Externally published	Yes
Event	Annual International Computing Education Research Conference (9th : 2013) - San Diego, United States Duration: 12 Aug 2013 → 14 Aug 2013

Conference

Conference	Annual International Computing Education Research Conference (9th : 2013)
Abbreviated title	ICER 2013
Country	United States
City	San Diego
Period	12/08/13 → 14/08/13

Keywords

learning edge momentum
programming
CSl
assessment
bimodal grade distribution

Access to Document

10.1145/2493394.2493416

Link to publication in Scopus

Cite this

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

abstract = "Computing academics report bimodal grade distributions in their CSl 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.",

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Ahadi, A & Lister, R 2013, Geek genes, prior knowledge, stumbling points and learning edge momentum: parts of the one elephant? in ICER 2013: Proceedings of the 2013 ACM Conference on International Computing Education Research. Association for Computing Machinery, New York, NY, pp. 123-128, Annual International Computing Education Research Conference (9th : 2013), San Diego, United States, 12/08/13. https://doi.org/10.1145/2493394.2493416

Geek genes, prior knowledge, stumbling points and learning edge momentum : parts of the one elephant? / Ahadi, Alireza; Lister, Raymond.

ICER 2013: Proceedings of the 2013 ACM Conference on International Computing Education Research. New York, NY : Association for Computing Machinery, 2013. p. 123-128.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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ER -

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

Abstract

Conference

Keywords

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