Towards analysing student failures: neural networks compared with regression analysis and multiple discriminant analysis

• Published in: Computers & operations research Vol. 24; no. 4; pp. 367 - 377
• Main Author: Flitman, A.M.
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.04.1997; Elsevier Science; Pergamon Press Inc
• Subjects: Applied sciences; Artificial intelligence; Comparative studies; Computer science; control theory; systems; Connectionism. Neural networks; Discriminant analysis; Exact sciences and technology; Failure; Forecasting; Neural networks; Operational research and scientific management; Operational research. Management science; Planning. Forecasting; Regression analysis; Students; Logistic regression; Discriminant analysis; Prediction; Network; Neural network; Risk analysis; Student; School failure

Using data from key first year courses, this article considers the development of subject-specific models to identify enrolled students at-risk of failure. The primary technique considered was neural networks, with it's results compared with logistic regression and multiple discriminant analysi...