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Computer Science > Computers and Society

arXiv:2109.07903 (cs)
[Submitted on 7 Sep 2021]

Title:Predicting students' performance in online courses using multiple data sources

Authors: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.
Subjects: Computers and Society (cs.CY); Machine Learning (cs.LG)
Cite as: arXiv:2109.07903 [cs.CY]
  (or arXiv:2109.07903v1 [cs.CY] for this version)
  https://doi.org/10.48550/arXiv.2109.07903

Submission history

From: Hugo Jair Escalante [view email]
[v1] Tue, 7 Sep 2021 20:48:04 UTC (1,888 KB)
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