Approaches to learning in computer programming students and their effect on success

Paper

de Raadt, Michael, Hamilton, Margaret, Lister, Raymond, Tutty, Jodi, Baker, Bob, Box, Ilona, Cutts, Quintin, Fincher, Sally, Hamer, John, Haden, Patricia, Petre, Marian, Robins, Anthony, Simon, ., Sutton, Ken and Tolhurst, Denise. 2005. "Approaches to learning in computer programming students and their effect on success." Brew, Angela and Asmar, Christine (ed.) 28th Higher Education Research and Development Society of Australasia Annual Conference (HERDSA 2005). Sydney, Australia 03 - 06 Jul 2005 Sydney, Australia.
Paper/Presentation Title

Approaches to learning in computer programming students and their effect on success

Presentation TypePaper
Authorsde Raadt, Michael (Author), Hamilton, Margaret (Author), Lister, Raymond (Author), Tutty, Jodi (Author), Baker, Bob (Author), Box, Ilona (Author), Cutts, Quintin (Author), Fincher, Sally (Author), Hamer, John (Author), Haden, Patricia (Author), Petre, Marian (Author), Robins, Anthony (Author), Simon, . (Author), Sutton, Ken (Author) and Tolhurst, Denise (Author)
EditorsBrew, Angela and Asmar, Christine
Journal or Proceedings TitleProceedings of the 28th Higher Education Research and Development Society of Australasia Annual Conference (HERDSA 2005)
Number of Pages8
Year2005
Place of PublicationSydney, Australia
ISBN0908557620
Web Address (URL) of Paperhttp://www.herdsa.org.au/wp-content/uploads/conference/2005/papers/raadt.pdf
Conference/Event28th Higher Education Research and Development Society of Australasia Annual Conference (HERDSA 2005)
Event Details
28th Higher Education Research and Development Society of Australasia Annual Conference (HERDSA 2005)
Parent
Higher Education Research and Development Society of Australasia Annual Conference
Delivery
In person
Event Date
03 to end of 06 Jul 2005
Event Location
Sydney, Australia
Abstract

Within education research there has been sustained interest in developing models that can predict, or alternatively explain, student success. In computing education, attempts have been made to predict success in programming courses. Models previously used in this area have included a range of demographic, cognitive and social factors. These models emphasise presage factors. Biggs' 3P general model of student learning, by comparison, measures attitudinal factors. This multi-national, multi-institutional study investigates the effectiveness of an attitudinal measure, deep and surface approaches to learning (Biggs R-SPQ-2F questionnaire), to explain the success of students in introductory programming courses. This is then compared to both a cognitive and a demographic measure. The results indicate that across the eleven institutions in three countries the strongest correlation to success was found with the learning approach.

Keywordslearning approaches; introductory programming
ANZSRC Field of Research 2020461204. Programming languages
390102. Curriculum and pedagogy theory and development
390409. Learning sciences
Public Notes

File reproduced in accordance with the copyright policy of the publisher/author.

Byline AffiliationsDepartment of Mathematics and Computing
Royal Melbourne Institute of Technology (RMIT)
University of Technology Sydney
Charles Darwin University
University of New South Wales
University of Glasgow, United Kingdom
University of Kent, United Kingdom
University of Auckland, New Zealand
Otago Polytechnic, New Zealand
Open University, United Kingdom
University of Otago, New Zealand
University of Newcastle
Southern Insititute of Technology, New Zealand
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