Course design as a stronger predictor of student evaluation of quality and student engagement than teacher ratings-Reference-Cited by-同舟云学术

Course design as a stronger predictor of student evaluation of quality and student engagement than teacher ratings

Published:2024-02-21 Issue: Volume: Page:
ISSN:0018-1560
Container-title:Higher Education
language:en
Short-container-title:High Educ

Author:

Levinsson Henrik^ORCID,Nilsson August,Mårtensson Katarina,Persson Stefan D.

Abstract

AbstractResearch on Student Evaluation of Teaching (SET) has indicated that course design is at least as important as teachers’ performance for student-rated perceived quality and student engagement. Our data analysis of more than 6000 SETs confirms this. Two hierarchical multiple regression models revealed that course design significantly predicts perceived quality more strongly than teachers, and that course design significantly predicts student engagement independent of teachers. While the variable teachers is a significant predictor of perceived quality, it is not a significant predictor of student engagement. In line with previous research, the results suggest it is important to highlight the vital impact of course design. The results are discussed particularly in relation to improved teaching practice and student learning, but also in terms of how student evaluations of teaching can be used in meaningful ways.

Funder

Lund University

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10734-024-01197-y.pdf

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