Abstract

This study investigated student interaction, satisfaction, and performance in accelerated online learning environments with the use of an online learning course-management system. The interactions assessed in this study included learner–learner interaction, learner–instructor interaction, and learner–content interaction. The participants were African American students from a university in the southeastern United States. Quantitative approaches including correlation and regression analyses were performed to examine the contribution of interaction predictors to student satisfaction as well as the relationship between student satisfaction and student performance. In addition, Internet self-efficacy and its impact on interaction was investigated. The results showed that learner–content interaction was the only significant predictor of student satisfaction whereas interaction among students or with the instructor did not significantly predict student satisfaction. Internet self-efficacy was positively correlated with three types of interaction. Student satisfaction was found to be related to student performance.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call