Against the backdrop of fragmented knowledge points, abstract theoretical content, and uneven prior academic foundations among students taking the course Electrical and Electronic Technology (B), this study constructs an intelligent teaching model integrating AI teaching assistants and the Chaoxing Learning Platform. Taking knowledge graphs as the knowledge navigation framework, AI teaching assistants as the engine for personalized learning support, and the Chaoxing Learning Platform as the hub for full-process teaching management, this research builds a closed-loop intelligent teaching system covering pre-class, in-class, and post-class activities. Supported by AI-enabled personalized pre-class guidance, real-time interactive Q&A, automatic homework grading, and data-driven learning analytics, the proposed model effectively addresses the difficulty of meeting differentiated personalized learning requirements of students. This study provides replicable and scalable practical solutions for advancing intelligent and targeted teaching reform of basic engineering courses.

Yang Liu, Yanxia Sun, Yanping Fu, Guohui Li. Research on Teaching Reform of Electrical and Electronic Technology (B) Empowered by AI Teaching Assistants. International Journal of New Developments in Education (2026), Vol. 8, Issue 7: 33-37. https://doi.org/10.25236/IJNDE.2026.080706.

[1] Fu Jianmei, Ren Guofeng, Xun Yanqin and Yang Yakun. (2025) Teaching strategies of digital signal processing empowered by artificial intelligence. Journal of Electrical and Electronic Education, 47 (4), 115-119. 

[2] Zhai Pu. (2025) Research on teaching methods of programming courses in the digital-intelligence era based on the Chaoxing Learning Platform. Information & Computer, 18, 233-235. 

[3] Guo Jun and Pan Xinzheng. (2025) Application and reflection of knowledge graph based on the Chaoxing Learning Platform. Technology Wind, 21, 120-121+143. 

[4] Wang Wei, Wang Qing and Wu Junjie. (2025) Construction and practice of digitized courses - taking the analog electronic circuit course as an example. Innovation and Entrepreneurship Theory Research and Practice, 8 (7), 162-164. 

[5] Yan An, Jin Yazhong, Zhang Didi, Zhang Haiyang, Shi Lei, Yao Xuan, Li Chunxia and Wu Xia. (2026) Construction and practice of online-offline blended teaching model for plant physiology course. Anhui Agricultural Science Bulletin, 32 (7), 121-123. 

[6] Ma Jialin. (2026) Thoughts and exploration on teaching reform of vocational ideological and political courses empowered by generative artificial intelligence - a practice based on Mao Zedong Thought course on the Chaoxing Intelligent Platform. Industrial & Science Tribune, 25 (9), 230-232.