AI-Driven Learning Analytics for Student Evaluations of Teaching: Detecting Score–Text Asymmetry and Heterogeneity with LDA and RoBERTa
Student Evaluation of Teaching (SET) provides both quantitative ratings and open-ended textual feedback for assessing teaching quality, yet these two information sources are often analyzed separately. This study investigates whether numerical ratings and textual evaluations provide fully aligned information and how the...