Construction of an Individualized Teaching Model and Research of Practice Approach in Modern Education in the Artificial Intelligence Era
Research Article
Open Access
CC BY

Construction of an Individualized Teaching Model and Research of Practice Approach in Modern Education in the Artificial Intelligence Era

Jiaxi Ju 1*
1 South China Agricultural University
*Corresponding author: 202217310210@stu.scau.edu.cn
Published on 13 August 2025
Journal Cover
LNEP Vol.114
ISSN (Print): 2753-7056
ISSN (Online): 2753-7048
ISBN (Print): 978-1-80590-327-7
ISBN (Online): 978-1-80590-328-4
Download Cover

Abstract

With the combination of artificial intelligence and the education field continuously deepening, AI energizes individualized teaching, has become an important direction of the Digital transformation of education, but in practice, there are still some issues like the boundaries of AI capabilities, students' dependence on AI, and ethical risks. Therefore, this article is themed by “Construction of an individualized teaching model and research of practice approach in modern education in the artificial intelligence era” and focuses on studying and exploring the troubles that the application of AI in education is facing currently, by using the case analysis method and reference analysis method. Selecting the practice of Deepseek’s individualized teaching model in medical education and the application of blended teaching of AI and Knowledge graphs in math lessons as examples, respectively, analyzing the advantages and disadvantages of models, and on top of that, combining related articles to find a systematic solution for “AI + Education”. The research shows that the way to balance technology and education needs to improve technology, rebuild the teaching framework, and construct an AI ethical system, so that the individualized teaching mode can be sustainably developed in the AI era.

Keywords:

Application of artificial intelligence in education, boundaries of AI capabilities, reconstruction of the teaching framework, AI ethical governance, digital transformation of education

View PDF
Ju,J. (2025). Construction of an Individualized Teaching Model and Research of Practice Approach in Modern Education in the Artificial Intelligence Era. Lecture Notes in Education Psychology and Public Media,114,15-22.

References

[1]. Liu, X.F. (2025) Research on the Application of Generative Artificial Intelligence in Education. Public Relations World, (09), 154–155.

[2]. Xu, G.M., Xiong, X.H., Zhang, Y. and Wei, Q.Q. (2023) ChatGPT Boosts Digital Transformation of Education Examinations: Opportunities, Applications and Challenges. Chinese Test, (5), 19–28.

[3]. Zhao, C. (2023) The Era of Personalized Learning: How Artificial Intelligence Is Reshaping Education. China Education Informatization, 29(06), 3–7.

[4]. Yao, C.X. and Zhao, C.L. (2018) Challenges and Opportunities Faced by Teachers in the Era of Artificial Intelligence. Journal of Weifang Engineering Vocational College, 31(05), 25–28+99.

[5]. Zhang, S., Meng, L.S., Liu, J.J., Wang, Y. and Yan, H. (2025) DeepSeek Enters the Classroom – Exploration and Reflection on the Application of AI Agents in the Teaching of Organ System Integration Courses. Chinese Medical Education Technology, 1–6.

[6]. Liu, S. (2024) The Application of Artificial Intelligence (AI) + Knowledge Graph in Blended Teaching. Office Automation, 29(07), 42–44.

[7]. Kamalov, F., Santandreu Calonge, D. and Gurrib, I. (2023) New Era of Artificial Intelligence in Education: Toward a Sustainable Multifaceted Revolution. Sustainability, 15(16), 12451.

[8]. Han, C.Z. and Ci, X. (2024) Research on the Application of Artificial Intelligence in Personalized Learning Systems. Journal of Jilin University (Information Science Edition), 42(6), 1176–1182.

[9]. Huang, K.-J. (2024) Evaluating GPT-4’s Cognitive Functions through the Bloom Taxonomy: Insights and Clarifications. Journal of Medical Internet Research, 26, e56997.

[10]. Zhong, H.Y. and Ma, Y.N. (2025) Ethical Risks and Countermeasures of Artificial Intelligence Education. Journal of Heilongjiang Institute of Industrial (Comprehensive), 25(02), 1–4.

References

[1]. Liu, X.F. (2025) Research on the Application of Generative Artificial Intelligence in Education. Public Relations World, (09), 154–155.

[2]. Xu, G.M., Xiong, X.H., Zhang, Y. and Wei, Q.Q. (2023) ChatGPT Boosts Digital Transformation of Education Examinations: Opportunities, Applications and Challenges. Chinese Test, (5), 19–28.

[3]. Zhao, C. (2023) The Era of Personalized Learning: How Artificial Intelligence Is Reshaping Education. China Education Informatization, 29(06), 3–7.

[4]. Yao, C.X. and Zhao, C.L. (2018) Challenges and Opportunities Faced by Teachers in the Era of Artificial Intelligence. Journal of Weifang Engineering Vocational College, 31(05), 25–28+99.

[5]. Zhang, S., Meng, L.S., Liu, J.J., Wang, Y. and Yan, H. (2025) DeepSeek Enters the Classroom – Exploration and Reflection on the Application of AI Agents in the Teaching of Organ System Integration Courses. Chinese Medical Education Technology, 1–6.

[6]. Liu, S. (2024) The Application of Artificial Intelligence (AI) + Knowledge Graph in Blended Teaching. Office Automation, 29(07), 42–44.

[7]. Kamalov, F., Santandreu Calonge, D. and Gurrib, I. (2023) New Era of Artificial Intelligence in Education: Toward a Sustainable Multifaceted Revolution. Sustainability, 15(16), 12451.

[8]. Han, C.Z. and Ci, X. (2024) Research on the Application of Artificial Intelligence in Personalized Learning Systems. Journal of Jilin University (Information Science Edition), 42(6), 1176–1182.

[9]. Huang, K.-J. (2024) Evaluating GPT-4’s Cognitive Functions through the Bloom Taxonomy: Insights and Clarifications. Journal of Medical Internet Research, 26, e56997.

[10]. Zhong, H.Y. and Ma, Y.N. (2025) Ethical Risks and Countermeasures of Artificial Intelligence Education. Journal of Heilongjiang Institute of Industrial (Comprehensive), 25(02), 1–4.

Cite this article

Ju,J. (2025). Construction of an Individualized Teaching Model and Research of Practice Approach in Modern Education in the Artificial Intelligence Era. Lecture Notes in Education Psychology and Public Media,114,15-22.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceeding of ICIHCS 2025 Symposium: Integration & Boundaries: Humanities/Arts, Technology and Communication

ISBN: 978-1-80590-327-7(Print) / 978-1-80590-328-4(Online)
Editor: Enrique Mallen
Conference website: https://2025.icihcs.org/Kunming.html
Conference date: 21 October 2025
Series: Lecture Notes in Education Psychology and Public Media
Volume number: Vol.114
ISSN: 2753-7048(Print) / 2753-7056(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:

1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.

2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.

3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).

For authors
For editors
For reviewers

Cookies are used by this site.
Copyright © 2024 EWA Publishing, its licensors, and contributors. All rights reserved, including text and data mining, AI training, and similar technologies.