ERIC Number: EJ1451235
Record Type: Journal
Publication Date: 2024-Nov
Pages: 17
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0018-1560
EISSN: EISSN-1573-174X
Course Design as a Stronger Predictor of Student Evaluation of Quality and Student Engagement than Teacher Ratings
Henrik Levinsson; August Nilsson; Katarina MÃ¥rtensson; Stefan D. Persson
Higher Education: The International Journal of Higher Education Research, v88 n5 p1997-2013 2024
Research 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.
Descriptors: Curriculum Design, Instructional Design, Student Evaluation of Teacher Performance, Course Evaluation, Educational Quality, Learner Engagement, Teacher Attitudes, Instructional Improvement
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://bibliotheek.ehb.be:2123/
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A