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Interaction and Other Variables as Predictors of Student Satisfaction in Online Learning Environments
PROCEEDINGS

, , , Utah State University, United States

Society for Information Technology & Teacher Education International Conference, in San Diego, CA, USA ISBN 978-1-880094-78-5 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA

Abstract

The paper intended to investigate the degree to which interaction and other predictors contributed to student satisfaction in online learning setting. This was a preliminary study towards a dissertation work which involved the establishment of interaction and satisfaction scales through content validity survey. Regression analysis was performed to figure out the contribution of predictor variables to student satisfaction. The result showed that learner-instructor interaction, learner-content interaction, and Internet self-efficacy were good predictors of student satisfaction while interactions among students and self-regulated learning did not play an important role in student satisfaction. Learner-content interaction explained the largest unique variance in student satisfaction

Citation

Kuo, Y.C., Walker, A. & Schroder, K. (2010). Interaction and Other Variables as Predictors of Student Satisfaction in Online Learning Environments. In D. Gibson & B. Dodge (Eds.), Proceedings of SITE 2010--Society for Information Technology & Teacher Education International Conference (pp. 593-600). San Diego, CA, USA: Association for the Advancement of Computing in Education (AACE). Retrieved August 24, 2019 from .