An Investigation of Student Satisfaction in an Online Language Learning Course

Abstract

Online learning's application in the language learning process has become an important topic as the COVID-19 crisis has restricted in-person classes. This study investigates student satisfaction in an online language learning course at a higher educational institution in Vietnam. The study tested the influence of learner-learner, learner-content, and learner-instructor interactions; internet self-efficacy; and self-regulation on student course satisfaction. The effects of student background variables were also explored. Linear regression analysis was conducted to determine the contribution of predictor variables to student satisfaction. The findings showed that student interaction with peers, content, and instructors and self-regulation were good predictors of student satisfaction; however, internet self-efficacy was not a good predictor. Additionally, there were no differences in effects of gender and prior online language learning experience on student course satisfaction.