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Download full textYin, Sylvia Chong Nguik – IAFOR Journal of Education, 2016
Universities are inundated with detailed applicant and enrolment data from a variety of sources. However, for these data to be useful there is a need to convert them into strategic knowledge and information for decision-making processes. This study uses predictive modelling to identify at-risk adult learners in their first semester at SIM…
Descriptors: Foreign Countries, Predictor Variables, Models, College Freshmen
