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Baneres, David; Rodriguez-Gonzalez, M. Elena; Serra, Montse – IEEE Transactions on Learning Technologies, 2019
Identifying at-risk students as soon as possible is a challenge in educational institutions. Decreasing the time lag between identification and real at-risk state may significantly reduce the risk of failure or disengage. In small courses, their identification is relatively easy, but it is impractical on larger ones. Current Learning Management…
Descriptors: Prediction, Feedback (Response), At Risk Students, College Freshmen
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Chen, Yu-Hui; Germain, Carol Anne; Rorissa, Abebe – portal: Libraries and the Academy, 2011
Library/information science professionals need a clearly articulated definition of usability/Web usability to implement intuitive websites. In this study, the authors analyzed usability definitions provided by the ARL library professionals and those found in the library/information science and computer science-information systems literature.…
Descriptors: Information Scientists, Information Needs, User Needs (Information), Definitions
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Summers, Gary J. – Simulation & Gaming, 2004
New technologies are transforming the business simulation industry. The technologies come from research in computational fields of science, and they endow simulations with new capabilities and qualities. These capabilities and qualities include computerized behavioral simulations, online feedback and coaching, advanced interfaces, learning on…
Descriptors: Feedback (Response), Industry, Coaching (Performance), Business Administration Education