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Direct linkMacfadyen, 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 reviewedGist, Thomas E.; And Others – Journal of Educational Technology Systems, 1989
Discusses the results of measuring the in-class effectiveness of a computer-controlled instructor workstation (IWS) that was developed at the Air Force Academy. Treatments for the experimental and control groups in an introductory physics course are described, and effects on student performance, student attitudes, and instructor attitudes are…
Descriptors: Academic Achievement, Computer Assisted Instruction, Computer System Design, Conventional Instruction
Peer reviewedBoyle, Tom; And Others – Computers and Education, 1994
Describes the design, implementation, and evaluation of a computer-assisted learning (CAL) package called CLEM (CORE Learning Environment for Modula-2) that was developed in Great Britain for teaching the Modula-2 programming language to first-year college students. Topics discussed include interactivity, flexibility, ease of use, student…
Descriptors: Academic Achievement, Computer Assisted Instruction, Computer Science Education, Computer System Design
