INFORMATION ABOUT THESIS/MASTER'S PROJECT
1. Student's full name: LAWILLOW 2. Gender: Female
3. Date of birth: 17/01/20014. Place of birth: CaoEqual
5. Decision No. 5915/QD/XHNV dated October 28, 2026, of the Rector of the University of Social Sciences and Humanities, Vietnam National University, Hanoi, recognizing the student.
6. Changes during the training process: In case of trainee renewal (Please specify the Decision number and renewal date)
7. Thesis title:"Applying artificial intelligence (AI) to teaching at 'top-tier' universities in China"
8. Major: Asian Studies Code: 24037108
9. Scientific supervisor: Dr. Nghiem Thuy Hang – Department of Oriental Studies, Faculty of Social Sciences and Humanities, Vietnam National University, Hanoi.
10. Summary of the thesis results:
This thesis systematizes the theoretical basis of AI in higher education and uses SAMR as a framework for analyzing the level of technology integration. Through three case studies, the thesis identifies three prominent organizational approaches: Peking University integrates AI with course knowledge repositories and specialized agents; Tsinghua University develops a multi-agent classroom environment through MAIC/OpenMAIC; and Shanghai Jiao Tong University organizes a HI + AI model by redistributing functions between AI and lecturers. The analysis shows that AI is shifting from a standalone support tool to a component of the teaching and learning process, but the depth of integration is not directly proportional to the scale of deployment. According to SAMR, most cases focus on the Incremental and Modified levels, with Modification being more prominent; the Redefinance manifestation is only appearing in some scenarios and is not yet a widespread state. A significant contribution of the thesis is clarifying the level of AI integration in higher education. From this, we can identify valuable experiences that can serve as a reference for higher education in Vietnam in general and Vietnam National University, Hanoi in particular.
11. Practical applications: The research results can serve as a reference for Vietnamese universities in designing, implementing, and evaluating the level of AI integration into teaching; especially in building AI assistants based on course modules, subject knowledge repositories, and models for collaboration between lecturers and AI.
12. Future research directions: (if any)
- ArticleThe depth of AI integration in teaching at China's "top-tier" universities: an analysis using the SAMR model.Published in the Journal of Educators (September 25, 2026) – Editor-in-Chief (with confirmation from the Journal)
INFORMATION ON MASTER'S THESIS/ PROJECT
1. Full name: LAPHARMACY2. Sex: Male
3. Date of birth: January 17, 2001 4. Place of birth: Cao Bang
5. Admission decision number/ QD/ XHNV,Dated: Decision No. 5915/QD/XHNV dated October 28, 2026, issued by the Rector of the University of Social Sciences and Humanities, Vietnam National University, Hanoi.
6. Changes in academic process:
7. Official thesis title:Application of Artificial Intelligence (AI) in Teaching at China's"Double First-Class”charity
8. Major: Asian Studies 9. Code:24037108
10. Supervisors: Dr. Nghiem Thuy Hang – Faculty of Oriental Studies, University of Social Sciences and Humanities, Vietnam National University, Hanoi.
11. Summary of the findings of the thesis:
The thesis systematizes the theoretical foundations of AI in higher education and employs the SAMR model as an analytical framework for assessing the level of technology integration. Through three case studies, the thesis identifies three notable approaches: Peking University integrates AI with course knowledge bases and specialized agents; Tsinghua University develops a multi-agent classroom environment through MAIC/OpenMAIC; and Shanghai Jiao Tong University implements the HI + AI model by redistributing functions between AI and human instructors. The analysis shows that AI is evolving from a standalone support tool into an integral component of the teaching and learning process; however, the depth of integration is not directly proportional to the scale of implementation. According to the SAMR model, most cases fall within the Augmentation and Modification levels, with Modification being more prominent. Redefinition is observed only in certain scenarios and has not yet become widespread. An important contribution of the thesis is to clarify the level of AI integration in higher education teaching. On this basis, the thesis identifies valuable experiences that can serve as references for Vietnamese higher education in general and Vietnam National University, Hanoi in particular.
12. Practical applicability, if any: The research findings can serve as a reference for Vietnamese universities in designing, implementing, and evaluating the integration of AI into teaching, particularly in developing course-specific AI assistants, course knowledge bases, and human–AI collaboration models.
13. Further research directions, if any:
ButThe article“The Depth of AI Integration in Teaching at China's 'Double First-Class' Universities: An Analysis Based on the SAMR Model”, published inEducator Magazineon September 25, 2026Lead Author(with confirmation from the journal attached).
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