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Gray, Geraldine; McGuinness, Colm; Owende, Philip; Hofmann, Markus – Journal of Learning Analytics, 2016
This paper reports on a study to predict students at risk of failing based on data available prior to commencement of first year. The study was conducted over three years, 2010 to 2012, on a student population from a range of academic disciplines, n=1,207. Data was gathered from both student enrollment data and an online, self-reporting,…
Descriptors: Prediction, At Risk Students, Academic Failure, College Freshmen
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Fujiura, Glenn T.; Rutkowski-Kmitta, Violet; Owen, Randall – Journal of Intellectual & Developmental Disability, 2010
Background: Statistics are critical in holding governments accountable for the well-being of citizens with disability. International initiatives are underway to improve the quality of disability statistics, but meaningful ID data is exceptionally rare. Method: The status of ID data was evaluated in a review of 12 national statistical systems.…
Descriptors: Mental Retardation, Data Collection, Data Analysis, Well Being