Self-regulated learning as predictor of academic performance
| dc.contributor.author | Keyser, J.N. | |
| dc.contributor.author | Viljoen, M.C. | |
| dc.contributor.other | Central University of Technology, Free State, Bloemfontein: Journal for New Generation Sciences | |
| dc.date.accessioned | 2016-06-03T13:23:24Z | |
| dc.date.available | 2016-06-03T13:23:24Z | |
| dc.date.issued | 2015 | |
| dc.date.issued | 2015 | |
| dc.description | Published Article | en_US |
| dc.description.abstract | The goal of this study was to research the hypothesis that self-regulated learning (SRL) predicts academic performance in second-year Economics studies. In the theoretical underpinning, self-regulated learning as related to academic performance was explored. Data was analysed using descriptive, correlation analysis and hierarchical regression. A correlation matrix and hierarchical regression revealed a relationship between different aspects of SRL and academic performance. In conclusion, the study recommends that teaching and assessment methods should be used to empower students to apply self-regulated learning strategies. This could greatly enhance their academic performance. | en_US |
| dc.format.extent | 91 908 bytes, 1 file | |
| dc.format.mimetype | Application/PDF | |
| dc.identifier.issn | 16844998 | |
| dc.identifier.uri | http://hdl.handle.net/11462/800 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Central University of Technology, Free State, Bloemfontein: Journal for New Generation Sciences | |
| dc.relation.ispartofseries | Journal for New Generation Sciences;Vol 13, Issue 3 | |
| dc.rights.holder | Journal for New Generation Sciences | |
| dc.subject | Academic performance | en_US |
| dc.subject | Self-regulated learning | en_US |
| dc.subject | Correlation analysis | en_US |
| dc.subject | Hierarchical regression | en_US |
| dc.title | Self-regulated learning as predictor of academic performance | en_US |
| dc.type | Article | en_US |