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Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction
Peer reviewedSteyn, M. M. de V.; And Others – Computers & Education, 1996
Describes a study that was conducted at the University of South Africa to determine the feasibility and the effectiveness of using computer-aided learning for a distance education chemistry course. Highlights include summative courseware testing; cost effectiveness; student achievement; student attitudes; and an appendix that lists responses from…
Descriptors: Academic Achievement, Chemistry, Computer Assisted Instruction, Computer Software Evaluation
Peer reviewedWashington, N.; Parnianpour, M.; Fraser, J. M. – Computers & Education, 1999
Describes the Biomechanics Tutorial, a computer-aided instructional tool that was developed at Ohio State University to expedite the transition from lecture to application for undergraduate students. Reports evaluation results that used statistical analyses and student questionnaires to show improved performance on posttests as well as positive…
Descriptors: Academic Achievement, Biomechanics, Computer Assisted Instruction, Computer Software Evaluation

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