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Predicting Academic Success for Business and Computing Students
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Tani, Kawtar; Gilbey, Andrew – International Journal of Information and Communication Technology Education, 2016
Various means to predict the success rate of students have been introduced by a number of educational institutions worldwide. The aim of this research was to identify predictors of success for tertiary education students. Participants were 353 students enrolled on Business and Computing programmes between 2009 and 2014, at a tertiary education…
Descriptors: Predictor Variables, Academic Achievement, Grade Point Average, Information Technology