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Karimi, Hamid; Derr, Tyler; Huang, Jiangtao; Tang, Jiliang – International Educational Data Mining Society, 2020
Online learning has attracted a large number of participants and is increasingly becoming very popular. However, the completion rates for online learning are notoriously low. Further, unlike traditional education systems, teachers, if any, are unable to comprehensively evaluate the learning gain of each student through the online learning…
Descriptors: Online Courses, Academic Achievement, Prediction, Teaching Methods
Yasmin, Dr. – Distance Education, 2013
This paper demonstrates the meaningful application of learning analytics for determining dropout predictors in the context of open and distance learning in a large developing country. The study was conducted at the Directorate of Distance Education at the University of North Bengal, West Bengal, India. This study employed a quantitative research…
Descriptors: Distance Education, Open Universities, Predictor Variables, Student Behavior
Rix, Jonathan; Twining, Peter – Educational Research, 2007
Background: In recent years there has been increasing interest in creating diversity of educational provision to meet the full range of needs presented by learners. This is both a reflection, and a partial consequence, of the three central agendas for schooling in many countries--standards, choice and inclusion, and the growth in information…
Descriptors: Learning Theories, Credentials, Nontraditional Education, Adult Learning

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