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Predicting students at risk of academic failure using ensemble model during pandemic in a distance learning system | International Journal of Educational Technology in Higher Education | Full Text
https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-021-00300-y
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- at-riskstudents
- covid19
- distanceeducation
- educationaldatamining
- ensemblelearningmodel
- highered
- learninganalytics
- pandemic
- paper
- performance
- predictivemodeling
- research
- students
