Implications of E-learning systems and self-efficiency on students outcomes: a model approach
Faculty of Computer Science and Information Systems, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia
Human-centric Computing and Information Sciences 2012, 2:6 doi:10.1186/2192-1962-2-6Published: 15 March 2012
This paper presents a model approach to examine the relationships among e-learning systems, self-efficacy, and students' apparent learning results for university online courses.
Independent variables included in this study are e-learning system quality, information quality, computer self-efficacy, system-use, self-regulated learning behavior and user satisfaction as prospective determinants of online learning results. An aggregate of 674 responses of students completing at least one online course from Wawasan Open University (WOU) Malaysia were used to fit the path analysis model.
The results indicated that system quality, information quality, and computer self-efficacy all affected system use, user satisfaction, and self-managed learning behavior of students.
Proposed path analytical model suggests that hypothesized variables are useful to forecast e-learning results