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Download full textBayer, Jaroslav; Bydzovska, Hana; Geryk, Jan; Obsivac, Tomas; Popelinsky, Lubomir – International Educational Data Mining Society, 2012
This paper focuses on predicting drop-outs and school failures when student data has been enriched with data derived from students social behaviour. These data describe social dependencies gathered from e-mail and discussion board conversations, among other sources. We describe an extraction of new features from both student data and behaviour…
Descriptors: Prediction, Foreign Countries, Predictor Variables, Social Behavior
Peer reviewedComer, Keith; Broght, Erik; Sampson, Kaylene – Journal of Institutional Research, 2011
Building on Shulruf, Hattie and Tumen (2008), this work examines the capacity of various National Certificate in Educational Achievement (NCEA)-derived models to predict first-year performance in Biological Sciences at a New Zealand university. We compared three models: (1) the "best-80" indicator as used by several New Zealand…
Descriptors: Science Achievement, Biology, Secondary School Science, National Competency Tests
Barry, Melissa; Mathies, Charles – Association for Institutional Research (NJ1), 2011
This study was conducted at a research-extensive public university in the southeastern United States. It examined the retention and completion of master's degree students across numerous disciplines. Results were derived from a series of descriptive statistics, T-tests, and a series of binary logistic regression models. The findings from binary…
Descriptors: Higher Education, Public Colleges, Graduate Study, Role
