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ERIC Number: EJ852714
Record Type: Journal
Publication Date: 2006
Pages: 16
Abstractor: As Provided
ISSN: ISSN-1011-3487
Challenges of Student Selection: Predicting Academic Performance
van der Merwe, D.; de Beer, M.
South African Journal of Higher Education, v20 n4 p547-562 2006
Finding accurate predictors of tertiary academic performance, specifically for disadvantaged students, is essential because of budget constraints and the need of the labour market to address employment equity. Increased retention, throughput and decreased dropout rates are vital. When making admission decisions, the under preparedness of students necessitates that their potential cognitive abilities should be assessed rather than their current abilities. In predicting their academic performance, it is argued that conventional psychometric tests are less suitable for the selection of students from disadvantaged backgrounds, because they are a static measure of current abilities which gives no indication of the student's potential to learn when in an optimum environment. The predictive validity of the Potential Index Battery, the Learning Potential Computerised Adaptive Test and school-leaving results in selection, were determined by calculating the correlation of these measures with academic performance over the full duration of the students' studies. Statistically significant correlations were found, thus indicating that the learning potential test had higher predictive powers than static measures of cognitive ability and school-leaving results, in predicting future academic performance. (Contains 6 tables and 2 notes.)
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: South Africa