ARTICLE
26 June 2026

AI-Empowered “Three-Stage Human-Machine Collaboration” Teaching Reform in Microwave Techniques and Antennas

Ting Li1 Lei Pan1 Fenggan Zhang1 Danyao Shen1
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1 Rocket Force University of Engineering, Xi’an 710025, Shaanxi, China
EIR 2026 , 4(6), 133–137; https://doi.org/10.26689/EIR.v4i6.15531
© 2026 by the Author. Licensee: Bio-Byword Scientific Publishing Pty Ltd, Australia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

To address the long-standing pedagogical challenges in Microwave Techniques and Antennas, such as abstract electromagnetic concepts, cumbersome mathematical derivations, and difficulties in cultivating students’ engineering intuition, this paper proposes and implements an AI-empowered teaching model based on a “three-stage human-machine collaboration” framework. Without overburdening teachers, this model effectively enhances students’ physical intuition in electromagnetics and their ability to solve complex engineering problems, providing a replicable pathway for microwave-course reform in the AI era.

Keywords
AI-empowered teaching
Microwave Techniques and Antennas
Human-machine collaboration
Project-based learning
References

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