Early Warning of Student Performance With Integration of Subjective and Objective Elements
Early warning of student performance is using data analytics to predict future trends in student performance as a way to intervene early in situations of academic risk. The popularity of machine learning has improved prediction accuracy. However, most current models only consider subjective student...
Hlavní autoři: | , , , |
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Médium: | Článek |
Jazyk: | English |
Vydáno: |
IEEE
2023-01-01
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Edice: | IEEE Access |
Témata: | |
On-line přístup: | https://ieeexplore.ieee.org/document/10184010/ |