Proceedings of the 2025 International Conference on Educational Innovation and Information Technology (EIIT 2025)

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Diagnosis and Optimization of Higher Education Teaching Based on Learning Behavior Big Data

Authors
Xiaoyan Wang1, Yinghui Guo2, Shuai Feng2, *, Zhengwei Gu2, *
1School of Intelligence and Information Engineering, SDUTCM, Jinan, Shandong, China
2School of Medicine, SDUTCM, Jinan, Shandong, China
*Corresponding author. Email: fengshuai@126.com
*Corresponding author. Email: sdnuwxy@126.com
Corresponding Authors
Shuai Feng, Zhengwei Gu
Available Online 15 December 2025.
DOI
10.2991/978-2-38476-497-6_25How to use a DOI?
Keywords
Learning Behavior Big Data; Teaching Diagnosis and Optimization; Precise Personalized Teaching Intervention
Abstract

This study targets the problems of insufficient utilization of learning behavior data, lagging feedback, and lack of personalized support in online and offline hybrid teaching in higher education. Taking the “Traditional Medicine Identification” course as an example, a teaching diagnosis and optimization research based on learning behavior big data is carried out. By integrating multi-source teaching data, a dynamic evaluation feedback system and student learning portraits are built, and a personalized resource recommendation and learning path planning is achieved using machine learning and deep learning technologies. Finally, a multi-dimensional learning data management system, a dynamic feedback model throughout the process and a dynamic adjustment mechanism for teaching strategies were developed, forming a data-driven closed-loop teaching optimization paradigm, effectively improving teaching quality and students’ comprehensive learning experience, and providing a new path for higher education teaching reform.

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 Educational Innovation and Information Technology (EIIT 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
15 December 2025
ISBN
978-2-38476-497-6
ISSN
2352-5398
DOI
10.2991/978-2-38476-497-6_25How 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  - Xiaoyan Wang
AU  - Yinghui Guo
AU  - Shuai Feng
AU  - Zhengwei Gu
PY  - 2025
DA  - 2025/12/15
TI  - Diagnosis and Optimization of Higher Education Teaching Based on Learning Behavior Big Data
BT  - Proceedings of the 2025 International Conference on Educational Innovation and Information Technology (EIIT 2025)
PB  - Atlantis Press
SP  - 248
EP  - 257
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-497-6_25
DO  - 10.2991/978-2-38476-497-6_25
ID  - Wang2025
ER  -