高教学刊2025，Vol.11Issue(36)：151-154,4.DOI:10.19980/j.CN23-1593/G4.2025.36.034
人工智能时代统计物理赋能专业人才培养转型的路径研究
摘要
Abstract
The in-depth integration of artificial intelligence(AI)and statistical physics is reshaping the development paradigm of the electronic science and technology industry.Talent training in traditional electronic science and technology majors faces challenges such as disconnection between curriculum systems and cutting-edge developments,separation of ideological and political education from professional teaching,rigid teaching models,and disciplinary barriers.Based on four core dimensions:integrating cutting-edge science and technology into classrooms,curriculum-based ideological and political education,case-based teaching,and interdisciplinary integration,this paper constructs a transformation path of"theoretical reconstruction-value shaping-practical empowerment-interdisciplinary integration".By incorporating cutting-edge content such as chemical industry modeling in Statistical Physics and AI optimization algorithms,exploring ideological and political elements in professional fields,designing real-scenario cases in the chemical industry,and breaking disciplinary boundaries,this study provides a reform plan for cultivating interdisciplinary electronic science and technology talents with cross-disciplinary thinking,innovative capabilities,and social responsibility.关键词
人工智能/统计物理/电科专业/人才培养/转型路径Key words
Artificial Intelligence(AI)/Statistical Physics/electronic science and technology major/talent training/transformation paths分类
社会科学引用本文复制引用
..人工智能时代统计物理赋能专业人才培养转型的路径研究[J].高教学刊,2025,11(36):151-154,4.基金项目
2024年度教育部高等学校大学物理课程教学指导委员会大中物理教育衔接工作委员会资助项目"'物理学现象的程序模拟'-面向社会公众的物理科学研究与实践"(WX202448) （WX202448）
