Identification of Early Predictors of Adult Learners’ Academic Performance in Higher Education

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...

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Bibliographic Details
Main Author: Sylvia Chong Nguik Yin
Format: Article
Language:English
Published: The International Academic Forum 2016-09-01
Series:IAFOR Journal of Education
Subjects:
Online Access:http://iafor.org/wp-content/uploads/2016/09/Identification-of-Early-Predictors-of-Adult-Learners%E2%80%99Academic-Performance-in-Higher-Education.pdf