Proceedings of the 2025 International Conference on Education Research and Training Technologies (ERTT 2025)

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AI-Supported Reform of Computational Methods Teaching in a Traditional Chinese Medicine University

Authors
Xueyan Yin1, *, Mei Xue1, Yao Tong1
1Nanjing University of Chinese Medicine, School of Artificial Intelligence and Information Technology, Nanjing, 210023, China
*Corresponding author. Email: yinxy@njucm.edu.cn
Corresponding Author
Xueyan Yin
Available Online 19 November 2025.
DOI
10.2991/978-2-38476-479-2_22How to use a DOI?
Keywords
Computational Methods; AI-Supported Teaching Reform; Value-Oriented Education; Computer Science Majors; Traditional Chinese Medicine University; Interdisciplinary Education
Abstract

Computational competence is a fundamental requirement for computer science majors, forming the basis of algorithmic thinking, numerical reasoning, and applied problem-solving. In specialized universities with strong cultural or disciplinary traditions, however, teaching Computational Methods often encounters challenges: students perceive abstract concepts as disconnected from professional practice, engagement is limited, and opportunities for integrating broader educational values are missed. This study introduces an AI-supported reform of the Computational Methods course designed for computer science undergraduates in such a specialized context. Artificial intelligence tools enable adaptive learning, interactive visualization, and intelligent assessment, making abstract concepts more accessible and engaging. At the same time, value-oriented education is embedded into the course, emphasizing craftsmanship, responsibility, ecological awareness, and holistic thinking. Evaluation results show improved academic performance, stronger motivation, and enhanced awareness of interdisciplinary and social responsibilities.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 International Conference on Education Research and Training Technologies (ERTT 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
19 November 2025
ISBN
978-2-38476-479-2
ISSN
2352-5398
DOI
10.2991/978-2-38476-479-2_22How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xueyan Yin
AU  - Mei Xue
AU  - Yao Tong
PY  - 2025
DA  - 2025/11/19
TI  - AI-Supported Reform of Computational Methods Teaching in a Traditional Chinese Medicine University
BT  - Proceedings of the 2025 International Conference on Education Research and Training Technologies (ERTT 2025)
PB  - Atlantis Press
SP  - 189
EP  - 196
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-479-2_22
DO  - 10.2991/978-2-38476-479-2_22
ID  - Yin2025
ER  -