Research on Knowledge Tracing Model Based on 'Problem Situation'

Zhang Hanghang; Yu Xiaopeng; Wu Yuntao

doi:10.1109/rcae53607.2021.9638945

Research on Knowledge Tracing Model Based on 'Problem Situation'

Zhang Hanghang, Yu Xiaopeng, Wu Yuntao

Wuhan Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The understanding of the problem situation is the key to the representation of algebraic problems. Through the Hidden Markov Model (HMM), the participants' ability to understand the problem situation is modeled, which is conducive to the individualized counseling of the participants. The traditional knowledge tracking model ignores the consideration of the problem situation, and it is not accurate to predict the mastery of comprehensive knowledge simply through the students' answering situation. The article will propose a knowledge tracking model (PS-HMM) based on the 'problem context', through the participants to reconstruct the problem, show the understanding of the problem context, classify the problem in different contexts, and introduce the problem context into the model. Compare the Hidden Markov Model (sq-HMM, dq-HMM) and traditional HMM in two different situations after classification. Experiments show that the PS-HMM model can significantly improve the prediction accuracy.

Original language	English
Title of host publication	2021 4th International Conference on Robotics, Control and Automation Engineering, RCAE 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	186-190
Number of pages	5
ISBN (Electronic)	9781665427302
DOIs	https://doi.org/10.1109/rcae53607.2021.9638945
State	Published - 2021
Externally published	Yes
Event	4th International Conference on Robotics, Control and Automation Engineering, RCAE 2021 - Wuhan, China Duration: 4 Nov 2021 → 6 Nov 2021

Publication series

Name	2021 4th International Conference on Robotics, Control and Automation Engineering, RCAE 2021

Conference

Conference	4th International Conference on Robotics, Control and Automation Engineering, RCAE 2021
Country/Territory	China
City	Wuhan
Period	4/11/21 → 6/11/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Funding

Fund Project: The Humanities and Social Science Research Planning Fund Project of the Ministry of Education in 2019 "Research on the Representation Tutoring System of Mathematical Application Problems Based on Problem Situation Simulation" (No. 19YJA880077).

Funders	Funder number
Humanities and Social Science Research Planning Fund
Ministry of Education of the People's Republic of China	19YJA880077

Keywords

PS-HMM
intelligent guidance system
knowledge tracking model
problem situation

Access to Document

10.1109/rcae53607.2021.9638945

Cite this

Hanghang, Z., Xiaopeng, Y., & Yuntao, W. (2021). Research on Knowledge Tracing Model Based on 'Problem Situation'. In 2021 4th International Conference on Robotics, Control and Automation Engineering, RCAE 2021 (pp. 186-190). (2021 4th International Conference on Robotics, Control and Automation Engineering, RCAE 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/rcae53607.2021.9638945

Hanghang, Zhang ; Xiaopeng, Yu ; Yuntao, Wu. / Research on Knowledge Tracing Model Based on 'Problem Situation'. 2021 4th International Conference on Robotics, Control and Automation Engineering, RCAE 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 186-190 (2021 4th International Conference on Robotics, Control and Automation Engineering, RCAE 2021).

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title = "Research on Knowledge Tracing Model Based on 'Problem Situation'",

abstract = "The understanding of the problem situation is the key to the representation of algebraic problems. Through the Hidden Markov Model (HMM), the participants' ability to understand the problem situation is modeled, which is conducive to the individualized counseling of the participants. The traditional knowledge tracking model ignores the consideration of the problem situation, and it is not accurate to predict the mastery of comprehensive knowledge simply through the students' answering situation. The article will propose a knowledge tracking model (PS-HMM) based on the 'problem context', through the participants to reconstruct the problem, show the understanding of the problem context, classify the problem in different contexts, and introduce the problem context into the model. Compare the Hidden Markov Model (sq-HMM, dq-HMM) and traditional HMM in two different situations after classification. Experiments show that the PS-HMM model can significantly improve the prediction accuracy.",

keywords = "PS-HMM, intelligent guidance system, knowledge tracking model, problem situation",

author = "Zhang Hanghang and Yu Xiaopeng and Wu Yuntao",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 4th International Conference on Robotics, Control and Automation Engineering, RCAE 2021 ; Conference date: 04-11-2021 Through 06-11-2021",

year = "2021",

doi = "10.1109/rcae53607.2021.9638945",

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series = "2021 4th International Conference on Robotics, Control and Automation Engineering, RCAE 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Hanghang, Z, Xiaopeng, Y & Yuntao, W 2021, Research on Knowledge Tracing Model Based on 'Problem Situation'. in 2021 4th International Conference on Robotics, Control and Automation Engineering, RCAE 2021. 2021 4th International Conference on Robotics, Control and Automation Engineering, RCAE 2021, Institute of Electrical and Electronics Engineers Inc., pp. 186-190, 4th International Conference on Robotics, Control and Automation Engineering, RCAE 2021, Wuhan, China, 4/11/21. https://doi.org/10.1109/rcae53607.2021.9638945

Research on Knowledge Tracing Model Based on 'Problem Situation'. / Hanghang, Zhang; Xiaopeng, Yu; Yuntao, Wu.
2021 4th International Conference on Robotics, Control and Automation Engineering, RCAE 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 186-190 (2021 4th International Conference on Robotics, Control and Automation Engineering, RCAE 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Hanghang Z, Xiaopeng Y, Yuntao W. Research on Knowledge Tracing Model Based on 'Problem Situation'. In 2021 4th International Conference on Robotics, Control and Automation Engineering, RCAE 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 186-190. (2021 4th International Conference on Robotics, Control and Automation Engineering, RCAE 2021). doi: 10.1109/rcae53607.2021.9638945

Research on Knowledge Tracing Model Based on 'Problem Situation'

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

Access to Document

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