Citation
He, Yangmei and Roslan, Samsilah and How, Shwu Pyng
(2025)
Student-instructor interaction as predictor of student engagement in live online courses and recorded online courses.
International Journal of Academic Research in Business and Social Sciences, 15 (10).
pp. 173-187.
ISSN 2222-6990
Abstract
This study investigates the predictive effects of student-instructor interaction on student
engagement in both live online courses and recorded online courses. Drawing on Wubbels’
Model of Interpersonal Instructor Behavior, eight types of student-instructor interaction were
examined, including Directing, Helpful, Understanding, Compliant, Uncertain, Dissatisfied,
Confrontational, and Imposing. The study employed stratified random sampling of 630
undergraduates from three Chinese universities and applied multiple regression analysis. This
approach aims to address the gap that the Wubbles’ Model has not been used to compare
interaction effects across live and recorded scenarios, while clarifying the different predictive
value of student-instructor interaction on engagement. Results showed that different forms
of student-instructor interaction have distinct predictive effects on behavioral, emotional,
and cognitive engagement across live online courses and recorded online courses. The
findings extend the applicability of the interpersonal model in online education and offer
practical implications for enhancing teaching strategies and training instructors to foster
student engagement in diverse online learning environments.
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