Age of AI:Enhancing personalized teaching in Chinese university classrooms with AI chatbots
There are several problems in Chinese universities, including a large number of students, uneven distribution of teaching resources, and the traditional teaching model being unable to meet the needs of personalized teaching. Utilizing AI chatbots such as Chatgpt, Deepseek, Doubao, etc. to enhance teaching efficiency has become a new breakthrough. These chatbots have the characteristics of rapid information generation, high flexibility, and personalized content. They are a new path to solve the lack of personalized teaching in university classrooms. Through research, it was found that the existing personalized teaching content in universities is mostly concentrated outside the classroom rather than in the classroom. Most students have already started using AI tools to assist their learning in the classroom, and they particularly appreciate its function of expanding knowledge. Students expect AI to integrate their needs and provide feedback to teachers, becoming a new communication bridge in classroom teaching. Therefore, this article proposes a dual-end application scheme based on domestic AI such as Deepseek and Doubao. Students interact with the AI system in real time, the system screens frequently asked questions and provides real-time answers while collecting feedback. Teachers accept the learning situation analysis and teaching suggestions generated by AI, thereby assisting in lesson planning and teaching. The proposal of this scheme can enhance the personalization and interaction efficiency of teaching, and has the characteristics of technical awareness and cost-effectiveness, providing innovative ideas for university teaching reform.
Authors
- Chenyue Li
Institutions
- Guangxi University (CN)
Publication Details
- Journal
- Journal of International Education and Development
- Published
- 2025-01-01
- DOI
- https://doi.org/10.47297/wspiedwsp2516-250040.20250906
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00