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Details van artikel 32 van 42 gevonden artikelen
| Titel: |
Predicting introductory programming performance: A multi-institutional multivariate study |
| Auteur: |
Bergin, Susan Reilly, Ronan |
| Verschenen in: |
Computer science education |
| Paginering: | Jaargang 16 (2006) nr. 4 pagina's 303-323 |
| Jaar: |
2006-12-01 |
| Inhoud: |
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. |
| Uitgever: |
Routledge |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 32 van 42 gevonden artikelen
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