Journal ArticleDOI
A model for measuring e-learning systems success in universities
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A model for measuring success of e-learning systems in universities, based on opinions of 33 experts, and assessing their suggestions, research indicators were finalized and the final model (MELSS Model) was presented.Abstract:
In the era of internet, universities and higher education institutions are increasingly tend to provide e-learning. For suitable planning and more enjoying the benefits of this educational approach, a model for measuring success of e-learning systems is essential. So in this paper, we try to survey and present a model for measuring success of e-learning systems in universities. For this purpose, at first, according to literature review, a conceptual model was designed. Then, based on opinions of 33 experts, and assessing their suggestions, research indicators were finalized. After that, to examine the relationships between components and finalize the proposed model, a case study was done in 5 universities: Amir Kabir University, Tehran University, Shahid Beheshti University, Iran University of Science & Technology and Khaje Nasir Toosi University of Technology. Finally, by analyzing questionnaires completed by 369 instructors, students and alumni, which were e-learning systems user, the final model (MELSS Model).read more
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References
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TL;DR: This paper discusses many of the important IS success research contributions of the last decade, focusing especially on research efforts that apply, validate, challenge, and propose enhancements to the original model.
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What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction
TL;DR: An integrated model with six dimensions of learners, instructors, courses, technology, design, and environment reveals critical factors affecting learners' perceived satisfaction and shows institutions how to improve learner satisfaction and further strengthen their e-Learning implementation.
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Web-Based virtual learning environments: a research framekwork and a preliminary assessment of effectiveness in basic IT skills training
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Explaining and predicting users' continuance intention toward e-learning: An extension of the expectation-confirmation model
TL;DR: Satisfaction has the most significant effect on users' continuance intention, followed by perceived usefulness, attitude, concentration, subjective norm, and perceived behavior control as significant but weaker predictors.
Journal ArticleDOI
Critical success factors for e-learning acceptance: Confirmatory factor models
TL;DR: E-learning, one of the tools emerged from information technology, has been integrated in many university programs and needs to be considered while developing or implementing university curriculums that offer e-learning based courses.