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Van Appel, Vaughan; Durandt, Rina – Perspectives in Education, 2019
This article reports on the results of an investigation of the predictive accuracy of five different mathematical models to identify at-risk students in a Business Statistics course. Low levels of students' success, especially in mathematics-related subjects such as statistics, are a salient problem in South Africa and other countries. Statistical…
Descriptors: Foreign Countries, Mathematical Models, Prediction, At Risk Students
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Fynn, Angelo – Perspectives in Education, 2022
The transition to online learning at a time of intensive efforts to ensure that the academic project continued under the trying conditions brought on by the COVID-19 pandemic placed intense pressure on both staff and students, increasing their workload. The increased workload placed students at a risk of burnout. While most burnout research…
Descriptors: COVID-19, Pandemics, Distance Education, Burnout
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Schoer, Volker; Ntuli, Miracle; Rankin, Neil; Sebastiao, Claire; Hunt, Karen – Perspectives in Education, 2010
Internationally, performance in school Mathematics has been found to be a reliable predictor of performance in commerce courses at university level. Based on the predictive power of school-leaving marks, universities use results from school-leaving Mathematics examinations to rank student applicants according to their predicted abilities. However,…
Descriptors: College Students, Academic Achievement, Mathematics Achievement, Secondary School Mathematics