Quotation 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.


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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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Publication's profile

Status of publication Published
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)
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