Identifying at‐risk students in videoconferencing and web‐based distance education

Viola Osborn

135 citations0/0 files storedAmerican Journal of Distance Education

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Online and Blended Learning Online Learning and Analytics Evasion and Academic Success Factors

Abstract

Based on the multivariate framework of student attrition developed by leading researchers in the field of distance education and instructional technology, this study centers on a method of assessing the ability of a student to complete a distance learning course. The focus of the investigation is construction and validation of a brief survey instrument to identify at‐risk students enrolled in Web‐based and videoconferencing courses.

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References

1975Dropout from Higher Education: A Theoretical Synthesis of Recent Research 1997Classrooms as Communities 1999What's the Difference? A Review of Contemporary Research on the Effectiveness of Distance Learning in Higher Education.1997Classrooms as Communities: Exploring the Educational Character of Student Persistence 1998Computer use, confidence, attitudes, and knowledge: A causal analysis 1995Open Learning Courses for Adults: A Model of Student Progress

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2007Validation of the diagnostic tool for assessing Tertiary students’ readiness for online learning 2008Toward Practical Procedures for Predicting and Promoting Success in Virtual School Students 2008Predictors of Learning Satisfaction in Japanese Online Distance Learners 2004The effect of previous experience with information and communication technologies on performance in a Web-based learning program 2011Student Characteristics That Predict Persistence in Community College Online Courses 2002Predicting Success of Virtual High School Students 2013Academic performance, course completion rates, and student perception of the quality and frequency of interaction in a virtual high school

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