Machine learning-based prediction of course evaluation outcomes: a comparative study of regression models and influential indicators

IntroductionCourse evaluation data provide important information for understanding teaching and learning quality. This study aimed to develop an interpretable machine-learning framework for predicting course-evaluation outcomes and identifying influential evaluation indicators.MethodsTwo semesters of institutional educational evaluation data were used to construct two related prediction tasks: self-evaluation prediction and course-evaluation prediction. Three regression models, including standar