Assessment of programming: pedagogical foundations of exams

Sheard, J, Simon, S, Carbone, A, D'Souza, D and Hamilton, M 2013, 'Assessment of programming: pedagogical foundations of exams', in Janet Carter (ed.) Proceedings of the 18th ACM Conference on Innovation and Technology in Computer Science Education, Canterbury, United Kingdom, 1 - 3 July 2013, pp. 141-146.


Document type: Conference Paper
Collection: Conference Papers

Title Assessment of programming: pedagogical foundations of exams
Author(s) Sheard, J
Simon, S
Carbone, A
D'Souza, D
Hamilton, M
Year 2013
Conference name ITiCSE 2013
Conference location Canterbury, United Kingdom
Conference dates 1 - 3 July 2013
Proceedings title Proceedings of the 18th ACM Conference on Innovation and Technology in Computer Science Education
Editor(s) Janet Carter
Publisher Association for Computing Machinery (ACM)
Place of publication New York, United States
Start page 141
End page 146
Total pages 6
Abstract Previous studies of assessment of programming via written examination have focused on analysis of the examination papers and the questions they contain. This paper reports the results of a study that investigated how these final exam papers are developed, how students are prepared for these exams, and what pedagogical foundations underlie the exams. The study involved interviews of 11 programming lecturers. From our analysis of the interviews, we find that most exams are based on existing formulas that are believed to work; that the lecturers tend to trust in the validity of their exams for summative assessment; and that while there is variation in the approaches taken to writing the exams, all of the exam writers take a fairly standard approach to preparing their students to sit the exam. We found little evidence of explicit references to learning theories or models, indicating that the process is based largely on intuition and experience.
Subjects Information Systems Development Methodologies
Keyword(s) Assessment
examination papers
CS1
programming pedagogy
DOI - identifier 10.1145/2462476.2465586
Copyright notice © 2013 Association for Computing Machinery (ACM) Inc
ISBN 9781450320788
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