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Predicting Student Success by Modeling Student Interaction in Asynchronous Online Courses
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Shelton, Brett E.; Hung, Jui-Long; Lowenthal, Patrick R. – Distance Education, 2017
Early-warning intervention for students at risk of failing their online courses is increasingly important for higher education institutions. Students who show high levels of engagement appear less likely to be at risk of failing, and how engaged a student is in their online experience can be characterized as factors contributing to their social…
Descriptors: Asynchronous Communication, Online Courses, Educational Technology, Integrated Learning Systems
Application of the Classification Tree Model in Predicting Learner Dropout Behaviour in Open and Distance Learning
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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
Students' Characteristics, Self-Regulated Learning, Technology Self-Efficacy, and Course Outcomes in Online Learning
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Wang, Chih-Hsuan; Shannon, David M.; Ross, Margaret E. – Distance Education, 2013
The purpose of this study was to examine the relationship among students' characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning settings. Two hundred and fifty-six students participated in this study. All participants completed an online survey that included demographic information, the modified…
Descriptors: Student Characteristics, Self Management, Self Efficacy, Outcomes of Education
Predictors of Learner Satisfaction in an Academic Computer Conference.
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Gunawardena, Charlotte N.; Duphorne, Patsy L. – Distance Education, 2000
This study tested the Adult Distance Study through Computer Conferencing (ADSCC) model to determine if learner readiness, online features, and computer mediated communication learning approaches are associated with learner satisfaction in an academic computer conference. All three variables were correlated with learner satisfaction, with online…
Descriptors: Adult Education, Computer Mediated Communication, Correlation, Distance Education
Student Drop-Out in Distance Education: An Application of Tinto's Model.
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Sweet, Robert – Distance Education, 1986
Describes a survey of 356 adult students enrolled in university-level courses at the Open Learning Institute which was conducted to assess the predictive validity of Tinto's theoretical model of student dropout. It was found that, overall, the Tinto model appears to be a useful framework for such investigations. (Author/LRW)
Descriptors: Adult Dropouts, Correlation, Discriminant Analysis, Distance Education
New Zealand Management Students' Perceptions of Communication Technologies in Correspondence Education.
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Ostman, Ronald E.; Wagner, Graham A. – Distance Education, 1987
Describes a survey of 724 management students in New Zealand's Technical Correspondence Institute which was conducted to determine whether the introduction of educational technologies could decrease the dropout rate. The multiple linear regression model that was used to analyze the questionnaire responses is presented, and predictor variables are…
Descriptors: Administrator Education, Correspondence Study, Developed Nations, Dropout Prevention