'PREDICTING SUCCESS IN IN OPEN AND DISTANCE LEARNING'

This paper reviews some of the ways in which student success can be predicted in conventional and distance education. It suggests that statistical methods involving logistic regression analysis are
more useful than questionnaires or tutors’ opinions. Identifying students with low probability of success allows support to be targeted on them.
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