Investigating possibilities of predictive mathematical models to identify at-risk students in the South African higher education context
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 proble...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of the Free State
2019-11-01
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| Series: | Perspectives in Education |
| Subjects: | |
| Online Access: | http://196.255.246.28/index.php/pie/article/view/4025 |