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Toward Practical Procedures for Predicting and Promoting Success in Virtual... Export

by: M. D. Roblyer, L. Davis, S. C. Mills, J. Marshall, L. Pape
American Journal of Distance Education, Vol. 22, No. 2. (2008), pp. 90-109.

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at-risk learning online prediction

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Two lines of research have emerged to study the causes and prevention of student failure in virtual (K-12) schools: studies of learner characteristics and studies of learning environment characteristics. To develop a useful model for predicting failure and promoting success in virtual school environments, a study was designed to measure the relation between a combination of student and environmental factors derived from previous research and successful course completion during one semester at a large (N = 4,100) virtual school. Study findings yielded a model that can discriminate between successful and unsuccessful online school students and is especially effective at identifying those likely to succeed.


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