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Published in 2019 at "IEEE Transactions on Learning Technologies"
DOI: 10.1109/tlt.2019.2911068
Abstract: A significant amount of research effort has been put into finding variables that can identify students at risk based on activity records available in learning management systems (LMS). These variables often depend on the context,…
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Keywords:
course;
students risk;
quest one;
prediction students ... See more keywords