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...

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Hlavní autoři: Kuangyu Qin, Xiaoyang Xie, Qian He, Guofeng Deng
Médium: Článek
Jazyk:English
Vydáno: IEEE 2023-01-01
Edice:IEEE Access
Témata:
On-line přístup:https://ieeexplore.ieee.org/document/10184010/