Predicting student academic performance in an engineering dynamics course: A comparison of four types of predictive mathematical models

• Published in: Computers and education Vol. 61; pp. 133 - 145
• Main Authors: Huang, Shaobo, Fang, Ning
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.02.2013; Elsevier
• Subjects: Academic Achievement; Accuracy; Applications in subject areas; College Instruction; College Students; Engineering Education; Grade Point Average; Mathematical Models; Multiple Linear Regression; Multiple Regression Analysis; Postsecondary education; Prediction; Predictive Measurement; Predictor Variables; Teaching/learning strategies; Postsecondary education; Applications in subject areas; Teaching/learning strategies

Predicting student academic performance has long been an important research topic in many academic disciplines. The present study is the first study that develops and compares four types of mathematical models to predict student academic performance in engineering dynamics – a high-enrollment, high-...