Ledermüller, Karl, Fallmann, Irmgard. 2017. Predicting learning success in online learning environments: Self-regulated learning, prior knowledge and repetition . Zeitschrift für Hochschulentwicklung 12 (1), 79-99.
BibTeX
Abstract
The emergence of new trends sometimes carries the risk that established, well-proven concepts rooted in other disciplines are not properly integrated into new approaches. As Learning Analytics seems to be evolving into a highly multidisciplinary field, we would like to demonstrate the importance of embedding classic theories and concepts into a Learning Analytics, system-data-driven setting. Our results confirm that classical factors that are operationalized with the help of system-generated data outperform more recent survey-based models. Therefore, we want to stress the point that system-generated data should not be left behind in the quickly evolving field of Learning Analytics.
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Status of publication | Published |
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Affiliation | External |
Type of publication | Journal article |
Journal | Zeitschrift für Hochschulentwicklung |
Language | English |
Title | Predicting learning success in online learning environments: Self-regulated learning, prior knowledge and repetition |
Volume | 12 |
Number | 1 |
Year | 2017 |
Page from | 79 |
Page to | 99 |
Reviewed? | Y |
URL | https://www.zfhe.at/index.php/zfhe/article/view/999 |
DOI | http://dx.doi.org/10.3217/zfhe-12-01/05 |
Associations
- People
- Ledermüller, Karl (Former researcher)
- External
- Fallmann, Irmgard (Donau Universität Wien, Austria)
- Research areas (ÖSTAT Classification 'Statistik Austria')
- 5838 E-learning, telelearning (Details)