ARTICLE
Volume 10,Issue 8
7 April 2026
An Exploratory Study on the Integration of AI Technology into the Training of Graduate Students in Engineering Thermophysics
Binghong Chen
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1
University of Shanghai for Science and Technology, Shanghai 200093, China,
JCER 2026 , 10(3), 224–230;
https://doi.org/10.26689/jcer.v10i3.14440
© 2026 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC BY-NC 4.0) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract
Against the backdrop of the in-depth integration of the new round of technological revolution and industrial transformation, artificial intelligence (AI) technology has become an important driving force for innovative development in the energy and power sector, and also provides a brand-new opportunity for the reform of the training model of graduate students in Engineering Thermophysics at colleges and universities. Combining the existing problems in the training of graduate students in Engineering Thermophysics and the adaptability of AI technology in this training process, this paper systematically explores the practical paths of integrating AI technology into the entire process of graduate curriculum teaching, scientific research innovation, practical training, and quality evaluation. It aims to provide a theoretical reference for cultivating compound Engineering Thermophysics talents with solid theoretical foundations, innovative capabilities, and engineering literacy.
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