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Predicting student performance in a blended MOOC
2018
Journal of Computer Assisted Learning
Predicting student performance is a major tool in learning analytics. This study aims to identify how different measures of massive open online course (MOOC) data can be used to identify points of improvement in MOOCs. In the context of MOOCs, student performance is often defined as course completion. However, students could have other learning objectives than MOOC completion. Therefore, we define student performance as obtaining personal learning objective(s). This study examines a subsample
doi:10.1111/jcal.12270
fatcat:hrw5zdou65fntdqkj3zk7ysjqm