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ERIC Number: EJ830145
Record Type: Journal
Publication Date: 2006-Dec
Pages: 21
Abstractor: As Provided
Reference Count: 35
ISBN: N/A
ISSN: ISSN-0899-3408
Predicting Introductory Programming Performance: A Multi-Institutional Multivariate Study
Bergin, Susan; Reilly, Ronan
Computer Science Education, v16 n4 p303-323 Dec 2006
A model for predicting student performance on introductory programming modules is presented. The model uses attributes identified in a study carried out at four third-level institutions in the Republic of Ireland. Four instruments were used to collect the data and over 25 attributes were examined. A data reduction technique was applied and a logistic regression model using 10-fold stratified cross validation was developed. The model used three attributes: Leaving Certificate Mathematics result (final mathematics examination at second level), number of hours playing computer games while taking the module and programming self-esteem. Prediction success was significant with 80% of students correctly classified. The model also works well on a per-institution level. A discussion on the implications of the model is provided and future work is outlined. (Contains 5 tables.)
Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Ireland