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通过集成LSTM和告知器来进行学生绩效预测的长序时间知识跟踪

Ailian Gao1, Zenglei Liu1

  • 1School of Electrical and Information Engineering, Hunan Institute of Technology, Hengyang, Hunan, China.

PloS one
|September 9, 2025
PubMed
概括

本研究引入了一种新的长序时间序列预测管道,用于知识追踪 (KT). 拟议的模型利用时间和运动数据,在预测学生知识状态方面表现优于现有方法.

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