Papers › Predicting students' performance in online courses using multiple data sources
Predicting students' performance in online courses using multiple data sources
Mélina Verger, Hugo Jair Escalante
Data-driven decision making is serving and transforming education. We approached the problem of predicting students' performance by using multiple data sources which came from online courses, including one we created. Experimental results show preliminary conclusions towards which data are to be considered for the task.
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