Predicting factors of Online Learning Effectiveness
Thursday, October 24 1:30-1:50 PM Location: Las Vegas Ballroom 2
Presider: Paul Beaudoin, Fitchburg State University, United States
Abstract: As online learning is an important part of higher education, the effectiveness of online learning has been tested with different methods. Although the literature regarding online learning effectiveness has been related to various factors, a more comprehensive review of the factors may result in broader understanding of online learning effectiveness. A student survey based on online learning effectiveness, factors such as interactivity, collaboration, communication media, and group trust were used in this study. A total of 401 responses were received during summer 2013 from a southeastern university. Different models were compared by using multiple linear regression. Results of the best predicting model showed interactivity was the strongest predictor of online learning effectiveness, followed by previous online grades, age, employment status, number of online courses taken, and ethnicity. These predictors explained 38% of the variances in online learning effectiveness.