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| The Reform of Intelligent Teaching in Science and Engineering Courses Supported by Artificial Intelligence Technology : A Case Study of Polymer Physics |
| LIU Mengzhu1, HAN Dandan1, WANG Xin1, YUAN Long2, WANG Yongpeng3*
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| 1. School of Material Science and Engineering, Jilin University of Chemical Technology, Jilin City 132022, China; 2. School of Physics, Jilin Normal University, Changchun 130103, China; 3. Research Institute of Carbon Fiber Materials, Jilin University of Chemical Technology, Jilin City 132022, China |
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Abstract To advance the precision and scale of teaching quality, it is essential to conduct research on teaching reform that integrates artificial intelligence into conventional science and engineering courses. Current research predominantly focuses on general theories or easily visualized courses, while specialized courses with weaker connections to computer technology still face challenges in integration. To fill the gap, using Polymer Physics as an example, this study explores a framework for AI-empowered, intelligent reform of science and engineering courses from three dimensions: multimedia-enhanced and information-based teaching, virtual simulation-augmented experimentation, and the development of smart classrooms, with the objective of informing pedagogical innovation in related specialties.
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Published: 06 September 2026
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