Aggregate compilation behavior: Findings and implications from 27,698 users

Matthew C. Jadud, Brian Dorn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

32 Scopus citations

Abstract

The error quotient (EQ) was first reported in 2006 as a behavioral measure of novice programmers. The EQ scores how well students deal with correcting syntax errors (or not) in their programs. The original studies were carried out on data collected using BlueJ, a pedagogic Java programming environment; today, newly installed instances of BlueJ capture data similar to these early studies automatically, meaning data regarding nearly 2 million programmers is captured every year by the Blackbox project. In this paper, we apply Jadud's original error quotient algorithm to this new, massive data set, and discuss our results and analysis in light of related work. Further, we consider the implications of our findings for researchers and educators in applying the EQ to 27,698 users in 10 different countries during the fall term of 2013.

Original languageEnglish (US)
Title of host publicationICER 2015 - Proceedings of the 2015 ACM Conference on International Computing Education Research
PublisherAssociation for Computing Machinery, Inc
Pages131-140
Number of pages10
ISBN (Electronic)9781450336284
DOIs
StatePublished - Jul 9 2015
Event11th Annual ACM Conference on International Computing Education Research, ICER 2015 - Omaha, United States
Duration: Aug 9 2015Aug 13 2015

Publication series

NameICER 2015 - Proceedings of the 2015 ACM Conference on International Computing Education Research

Other

Other11th Annual ACM Conference on International Computing Education Research, ICER 2015
Country/TerritoryUnited States
CityOmaha
Period8/9/158/13/15

Keywords

  • Blackbox
  • BlueJ
  • Novice compilation behavior

ASJC Scopus subject areas

  • Computer Science(all)
  • Education

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