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Almeda, Ma. Victoria; Zuech, Joshua; Utz, Chris; Higgins, Greg; Reynolds, Rob; Baker, Ryan S. – Online Learning, 2018
Online education continues to become an increasingly prominent part of higher education, but many students struggle in distance courses. For this reason, there has been considerable interest in predicting which students will succeed in online courses and which will receive poor grades or drop out prior to completion. Effective intervention depends…
Descriptors: Performance Factors, Online Courses, Electronic Learning, Models
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Grosch, Michael – Electronic Journal of e-Learning, 2013
The web 2.0 has already penetrated the learning environment of students ubiquitously. This dissemination of online services into tertiary education has led to constant changes in students' learning and study behaviour. Students use services such as Google and Wikipedia most often not only during free time but also for learning. At the same…
Descriptors: Higher Education, Mass Media Use, Postsecondary Education, Technology Uses in Education
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Kundi, Ghulam Muhammad; Nawaz, Allah – Turkish Online Journal of Distance Education, 2011
One cannot predict the details of future but one can surely prepare for it. Researchers in eLearning are capitalizing on the user-perceptions as possible predictor of the user-attitudes towards the development, use, problems and prospects of eLearning in their institutions. This application is founded on the psychological fact that a human's…
Descriptors: Electronic Learning, Foreign Countries, Educational Technology, Predictor Variables
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Hall, Michael C. – Quarterly Review of Distance Education, 2009
This article presents the results of a factor analysis on the distance education surveys "Is Online Learning Right for Me?" and "What Technical Skills Do I Need?" Both surveys are 15-question, forced response, self-scoring guides that have face validity for individual traits and skills believed to contribute to potential success in an…
Descriptors: Electronic Learning, Distance Education, Online Courses, Predictive Validity
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Roblyer, M. D.; Davis, Lloyd – Online Journal of Distance Learning Administration, 2008
Virtual schooling has the potential to offer K-12 students increased access to educational opportunities not available locally, but comparatively high dropout rates continue to be a problem, especially for the underserved students most in need of these opportunities. Creating and using prediction models to identify at-risk virtual learners, long a…
Descriptors: Prediction, Predictor Variables, Success, Virtual Classrooms
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Martinez-Torres, M. R.; Toral, S. L. Marin; Garcia, F. Barrero; Vazquez, S. Gallardo; Oliva, M. Arias; Torres, T. – Behaviour & Information Technology, 2008
The application of scientific tools to analyse the use of Internet-based e-learning tools in academic settings is in general an ignored area. E-learning tools are actually an emergent topic as a result of the new ideas introduced by the European Higher Education Area. Lifelong learning, or the promotion of student initiative, is the new paradigm…
Descriptors: Higher Education, Student Attitudes, Lifelong Learning, Laboratories