What question did this study set out to answer?

This research aims to analyze student evaluations of course and teacher quality to identify factors influencing their perceptions.

Student Perception of Course and Teacher Quality: A Comprehensive Cluster Analysis

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Comprehensive cluster analysis reveals key factors in student evaluations, aiming to enhance course and teaching quality.

This research aims to analyze student evaluations of course and teacher quality to identify factors influencing their perceptions.
Analyzed 2,048 student evaluations over 4 years focusing on 16 descriptive statements.
Conducted cluster analyses to identify relationships between course and instructor evaluation scores.
Provided specific recommendations for faculty to improve teaching scores based on analyzed clusters.
Course scores were predominantly related to statements on feedback and challenge (Cluster 2).
Instructor scores correlated strongly with statements on clarity and engagement (Cluster 4).
Key findings show that clear teaching reduces student stress, encourages goal setting, and fosters academic growth.

Güder et al. (2026) studied this question.

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