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Investigation into the personal epistemology of computer science students.

McDermott, Roger; Pirie, Iain; Cajander, �sa; Daniels, Mats; Laxer, Cary

Authors

Iain Pirie

�sa Cajander

Mats Daniels

Cary Laxer



Abstract

In this paper, we investigate the personal epistemology of computing students, that is, their conceptions of knowledge and learning. We review some models of personal epistemological development and describe one of the questionnaire tools that have been used to assess the epistemological beliefs of students studying in other disciplines. We describe an experiment that uses one of these tools, together with exploratory factor analysis, to determine the dimensions of epistemological beliefs of a cohort of computing students and compare the results with that reported in other contexts. The results, while not reproducing the details of previous work, do seem to suggest that there are indeed multiple dimensions to personal epistemology, and that these can be identified, to a large extent, with those recognised by other researchers. Finally, we make some observations about the importance of personal epistemology for learning in Computer Science and outline further work in this area.

Citation

MCDERMOTT, R., PIRIE, I., CAJANDER, A., DANIELS, M. and LAXER, C. 2013. Investigation into the personal epistemology of computer science students. In Proceedings of the 18th Association for Computing Machinery (ACM) Innovation and technology in computer science education conference (ITiCSE 2013), 1-3 July 2013, Canterbury, UK. New York: ACM [online], pages 231-236. Available from: https://doi.org/10.1145/2462476.2465589

Conference Name 18th Association for Computing Machinery (ACM) Innovation and technology in computer science education conference (ITiCSE 2013)
Conference Location Canterbury, UK
Start Date Jul 1, 2013
End Date Jul 3, 2013
Acceptance Date Jul 3, 2013
Online Publication Date Jul 3, 2013
Publication Date Jul 31, 2013
Deposit Date Apr 6, 2017
Publicly Available Date Mar 29, 2024
Publisher Association for Computing Machinery (ACM)
Pages 231-236
ISBN 9781450320788
DOI https://doi.org/10.1145/2462476.2465589
Keywords Personal epistemology; Epistemological beliefs; Pedagogy; Learning; Factor analysis
Public URL http://hdl.handle.net/10059/2263

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