Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 7
1993-1997

Research on Bayesian knowledge tracking model integrating behavior and forgetting factors

Huang Shiwena
Liu Zhaohuia,b
Luo Lingyuna
Zhao Zhongyuana
Wang Cana
a. School of Computer Science, b. School of Innovation & Entrepreneurship, University of South China, Hengyang Hunan 421001, China
DOI: 10.19734/j.issn.1001-3695.2020.10.0356

Abstract

BKT can track the state of the learners' knowledge, as well as predict their mastery level and future performance in the intelligent teaching system. Because BKT easily ignores the phenomenon of memory forgetting, and does not consider the impact of learning behavior on performance results, the model prediction results deviate from the actual situation. So this paper proposed a new Bayesian knowledge tracking model that integrated learner behavior and forgetting factors. Firstly, the method used the decision tree algorithm to process learning behavior data and introduced behavior nodes. Then, the model initialized the forgetting parameters and assigned them, and updated the algorithm of the learner's knowledge mastery level. Finally, the experiment compared the prediction accuracy of related models through the public data set provided by ASSISTMENTS. Experimental results show that the BF-BKT model can achieve better prediction accuracy.

Foundation Support

湖南省教育厅基金资助项目(18C0413)
南华大学学位与研究生教育教改课题(2017JG014)
2020年湖南省普通高等学校教学改革研究项目(HNJG-2020-0477)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.10.0356
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 7
Section: Algorithm Research & Explore
Pages: 1993-1997
Serial Number: 1001-3695(2021)07-014-1993-05

Publish History

[2021-07-05] Printed Article

Cite This Article

黄诗雯, 刘朝晖, 罗凌云, 等. 融合行为和遗忘因素的贝叶斯知识追踪模型研究 [J]. 计算机应用研究, 2021, 38 (7): 1993-1997. (Huang Shiwen, Liu Zhaohui, Luo Lingyun, et al. Research on Bayesian knowledge tracking model integrating behavior and forgetting factors [J]. Application Research of Computers, 2021, 38 (7): 1993-1997. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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