Ensemble Knowledge Tracing: Modeling interactions in learning process

作者：

Highlights：

• Our model represents the interactions among students, concepts and questions.

• Our model can help teachers understand the status of students.

• Our model transforms AdaBoost to deal with sequential data.

• Our model outperforms the traditional knowledge tracing models.

摘要

•Our model represents the interactions among students, concepts and questions.•Our model can help teachers understand the status of students.•Our model transforms AdaBoost to deal with sequential data.•Our model outperforms the traditional knowledge tracing models.

论文关键词：Knowledge Tracing,Deep neural network,Learning interactions,User modeling

论文评审过程：Received 27 October 2021, Revised 12 May 2022, Accepted 28 May 2022, Available online 3 June 2022, Version of Record 6 July 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117680