Investigating novice programming mistakes: educator beliefs vs. student data

Brown, Neil C.C. and Altadmri, Amjad (2014) Investigating novice programming mistakes: educator beliefs vs. student data. In: ICER '14 Proceedings of the tenth annual conference on International computing education research. ACM pp. 43-50. ISBN 978-1-4503-2755-8. (doi:https://doi.org/10.1145/2632320.2632343) (Full text available)

PDF - Author's Accepted Manuscript
Download (575kB) Preview
[img]
Preview
Official URL
http://dx.doi.org/10.1145/2632320.2632343

Abstract

Educators often form opinions on which programming mistakes novices make most often - for example, in Java: "they always confuse equality with assignment", or "they always call methods with the wrong types". These opinions are generally based solely on personal experience. We report a study to determine if programming educators form a consensus about which Java programming mistakes are the most common. We used the Blackbox data set to check whether the educators' opinions matched data from over 100,000 students - and checked whether this agreement was mediated by educators' experience. We found that educators formed only a weak consensus about which mistakes are most frequent, that their rankings bore only a moderate correspondence to the students in the Blackbox data, and that educators' experience had no effect on this level of agreement. These results raise questions about claims educators make regarding which errors students are most likely to commit.

Item Type: Conference or workshop item (Paper)
Subjects: L Education > L Education (General)
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing > Computing Education Group
Depositing User: Neil Brown
Date Deposited: 20 Aug 2014 10:03 UTC
Last Modified: 06 Feb 2017 12:18 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/42489 (The current URI for this page, for reference purposes)
  • Depositors only (login required):

Downloads

Downloads per month over past year