Bayesian Diagnosis Tracing: Application of Procedural Misconceptions in Knowledge Tracing

被引:3
作者
Feng, Junchen [1 ]
Zhang, Bo [1 ]
Li, Yuchen [1 ]
Xu, Qiushi [1 ]
机构
[1] 17zuoye, Beijing 100020, Peoples R China
来源
ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2019, PT II | 2019年 / 11626卷
关键词
Procedural misconception; Bayesian knowledge tracing; Bayesian diagnosis tracing; Hidden Markov model; LEARNER; MODELS;
D O I
10.1007/978-3-030-23207-8_16
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Bayesian diagnosis tracing model (BDT) replaces the generic "wrong" response in the classical Bayesian knowledge tracing model (BKT) with a vector of procedure misconceptions. Using a novel dataset with actual student responses, this paper shows the BDT model has better interpretability of the latent factor and minor improvement in out-sample predictability in some specification than the BKT model.
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页码:84 / 88
页数:5
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