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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 10

Exercise semantic embedding for knowledge tracing

Cheng Zhi1
Li Jinlong2
1. School of Artificial Intelligence & Data Science, University of Science & Technology of China, Hefei Anhui 230026, China
2. School of Computer Science & Technology, University of Science & Technology of China, Hefei Anhui 230026, China
DOI: 10.19734/j.issn.1001-3695.2025.03.0086

Abstract

To address the issue of poor performance of knowledge tracing models on new exercises in open-domain exercise scenarios, this study investigated exercise semantic embedding for knowledge tracing. The model comprised two stages: the first stage utilized a fine-tuned pre-trained language model to obtain exercise semantic embedding, and the second stage employed the embeddings to complete knowledge tracing tasks while designing an answer encoder to capture students’ response information. To validate the model’s performance, this paper conducted comparative experiments on an English reading comprehension education dataset, comparing the model with state-of-the-art knowledge tracing models. Experimental results show that the model significantly outperforms comparative models in AUC and ACC, effectively improving the knowledge tracing performance for new exercises in open-domain data. The proposed method achieves effective modeling of new exercises through exercise semantic embedding and provides an innovative solution for the application of intelligent education systems in open-domain data.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.03.0086
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 10

Publish History

[2025-06-17] Accepted Paper

Cite This Article

程植, 李金龙. 基于练习题目文本语义嵌入的知识追踪 [J]. 计算机应用研究, 2025, 42 (10). (2025-06-19). https://doi.org/10.19734/j.issn.1001-3695.2025.03.0086. (Cheng Zhi, Li Jinlong. Exercise semantic embedding for knowledge tracing [J]. Application Research of Computers, 2025, 42 (10). (2025-06-19). https://doi.org/10.19734/j.issn.1001-3695.2025.03.0086. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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