AI-Empowered Research on Teaching Reform and Innovation in Circuit Courses

DOI

10.2991/978-94-6239-630-2_38How to use a DOI?

Keywords

AI-empowered; teaching reform; engineering practice; new engineering disciplines

Abstract

Addressing prominent issues in traditional Circuit course teaching—such as theoretical abstraction, weak practical application, and monolithic assessment—this study responds to the demands of New Engineering and Education 4.0 for engineering talent development. Guided by constructivist learning theory, it achieves deep integration of AI with Circuit course pedagogy. By establishing a four-dimensional reform framework encompassing “objectives-content-practice-assessment”, the study advances a new pedagogical paradigm for electrical and information engineering disciplines through four dimensions: developing personalized teaching resources, constructing an engineering-oriented practical system, organically integrating ideological and political elements, and innovating diversified assessment mechanisms. A three-year practice involving electrical and information engineering students from the 2022–2024 cohorts at Ganzhou University of Science and Technology demonstrates that postreform measures have significantly enhanced overall course pass rates, markedly increased awards in subject competitions, and achieved a 100% excellent rating in course evaluations. These findings provide an actionable pathway for the intelligent transformation of foundational engineering courses and offer valuable support for new engineering talent cultivation.

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  - Lingyan Wu
AU  - Gang Cai
AU  - Hui Li
AU  - Xingang Feng
AU  - Juntao Zhu
AU  - Hao Wu
PY  - 2026
DA  - 2026/04/23
TI  - AI-Empowered Research on Teaching Reform and Innovation in Circuit Courses
BT  - Proceedings of the 2025 International Conference on Educational Technology and Management Information Systems (ETMIS 2025)
PB  - Atlantis Press
SP  - 383
EP  - 390
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-630-2_38
DO  - 10.2991/978-94-6239-630-2_38
ID  - Wu2026
ER  -