A predictive model to evaluate students' cognitive engagement in online learning

作者: Nurbiha A. Shukor , Zaidatun Tasir , Henny Van der Meijden , Jamalludin Harun

DOI: 10.1016/J.SBSPRO.2014.01.1036

关键词:

摘要: The expanding usage of online learning at all levels education has drawn attention to the quality learning. In this study, is evaluated through students’ cognitive engagement which reflected in their written messages discussions and participation. This study proposes use two types data: participation, messages. Both data was collected analyzed using mining technique produce a predictive model that illustrates pathways while engaging cognitively. findings indicate from 22 variables, only were significant for engagement; sharing information posting highlevel variables led formation three different model.

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