App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 8

Tracking student knowledge progression using structured concept and temporal learning patterns

Qin Zhenkai1
Qin Weiqi1
Wei Baozhong1
Ma Yanfeng1
Pan Weihua1
Zhang Qian2
1. School of Information Technology, Guangxi Police College, Nanning Guangxi 530028, China
2. School of Information Engineering, Jiangsu Open University, Nanjing 210036, China
DOI: 10.19734/j.issn.1001-3695.2025.12.0518

Abstract

knowledge tracing models often struggle to simultaneously capture structured concept dependencies and temporal learning behaviors. a knowledge tracing method integrating structured concept modeling and temporal learning patterns was investigated. a concept-level knowledge graph was constructed to represent prerequisite and semantic relationships among concepts, and graph convolutional networks were used to learn structural representations. a bidirectional mamba sequence encoder was introduced to model student interaction sequences and capture long-range dependencies through a selective state-space mechanism. structural and temporal representations were fused to predict the probability of correctly answering the next question. experiments were conducted on four benchmark datasets: ASSIST2009, ASSIST2015, KDDCup2010, and Statics2011. results showed that the proposed method outperformed several representative knowledge tracing models in terms of AUC and acc. the AUC reached 0.939 on ASSIST2015. the results indicate that integrating structural concept relationships with temporal interaction patterns improves prediction accuracy and provides better interpretability for knowledge tracing tasks.

Foundation Support

国家自然科学基金青年基金资助项目(62206114)
广西职业教育教学改革研究项目(GXGZJG2024A018)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.12.0518
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 8

Publish History

[2026-04-22] Accepted Paper

Cite This Article

秦振凯, 覃玮琪, 韦堡钟, 等. 基于结构化概念与时序学习模式的学生知识演变追踪 [J]. 计算机应用研究, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.12.0518. (Qin Zhenkai, Qin Weiqi, Wei Baozhong, et al. Tracking student knowledge progression using structured concept and temporal learning patterns [J]. Application Research of Computers, 2026, 43 (8). (2026-04-30). https://doi.org/10.19734/j.issn.1001-3695.2025.12.0518. )

About the Journal

  • 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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