Design of a Teaching Model for the Electrical and Electronic Technology Course Empowered by Generative Artificial Intelligence——From the Perspective of Three AI Agents

DOI

10.2991/978-94-6239-691-3_61How to use a DOI?

Keywords

human–computer collaboration; AI agent; electrical and electronic technology; teaching model design

Abstract

In the context of educational digital transformation, the traditional Electrical and Electronic Technology course faces challenges such as outdated teaching content, a lack of personalized guidance, and a disconnect between theory and practice. Using Activity Theory as an analytical framework, this paper positions generative AI as a core mediating tool for reshaping the teaching activity system and, based on this, proposes a “Three AI Agents” human–computer collaborative teaching model. The model subdivides AI into an AI Guidance Agent, an AI Experiment Agent, and an AI Evaluation Agent. The teaching process is designed around three phases—“intelligent pre-class preparation, in-class virtual-real integration, and post-class personalized expansion”—and potential problems and countermeasures are proposed. The model provides an operable practical reference for the intelligent transformation of electrical and electronic engineering courses.

Copyright

© 2026 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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TY  - CONF
AU  - Dapeng Cheng
AU  - Meijie Song
AU  - Jundong Ye
AU  - Weijie Mu
AU  - Yuxin Zhang
PY  - 2026
DA  - 2026/05/31
TI  - Design of a Teaching Model for the Electrical and Electronic Technology Course Empowered by Generative Artificial Intelligence——From the Perspective of Three AI Agents
BT  - Proceedings of the 2026 5th International Conference on Educational Innovation and Multimedia Technology (EIMT 2026)
PB  - Atlantis Press
SP  - 611
EP  - 618
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6239-691-3_61
DO  - 10.2991/978-94-6239-691-3_61
ID  - Cheng2026
ER  -