Meta-knowledge dictionary learning on 1-bit response data for student knowledge diagnosis

作者：

Highlights：

• Proposing a novel meta-knowledge dictionary learning for knowledge analysis.

• Explaining knowledge entities as a linear combination of a few meta-knowledges.

• Using the diagnosis system to discover student groups and predict student responses.

• Analyzing the performance on our international classroom of C language.

摘要

•Proposing a novel meta-knowledge dictionary learning for knowledge analysis.•Explaining knowledge entities as a linear combination of a few meta-knowledges.•Using the diagnosis system to discover student groups and predict student responses.•Analyzing the performance on our international classroom of C language.

论文关键词：Dictionary learning,Latent knowledge analysis,Student knowledge based-system,Cognitive diagnosis,Student clustering and classification

论文评审过程：Received 21 March 2020, Revised 14 June 2020, Accepted 17 July 2020, Available online 24 July 2020, Version of Record 28 July 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106290