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Predicting students' performance in online courses using multiple data sources

2021-09-07Code Available0· sign in to hype

Mélina Verger, Hugo Jair Escalante

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Abstract

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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