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

中图分类号：C961 文献标志码：A 文章编号：2096-000X（2025）36-0151-04

Abstract：Thein-depthintegrationofarticialintellgence（Al）andstatisticalphysicsiseshapingthedevelopmentparadigm oftheelectronicscienceandtechnologyindustryTalenttrainingintraditionalelectronicscienceandtechnologymajorsfaces challengessuchasdisconectionbetweencurriculumsystemsandcuting-dgedevelopments，separationofideologicaland politicaleducationfromprofessionalteaching，rigidteachingmodels，anddisciplinarybarriers.Basedonfourcoredimensions： integratingcuttngedgescienceandtechologyintoclassrooms，currculum-basedideologicalandpoliticaleducation，casebased teaching，andinterdisciplinaryintegrationthispaperconstructsatransformationpathof"theoreticalreconstruction-value shaping-practicalempowerment-interdisciplinaryintegration"Byincorporatingcutingedgecontentsuchaschemicalidustry modelinginStatisticalPhsicsandAoptimizatioagorits，xploringideologicalandpolticalelementsinprofessoalfelds， designingreal-scenariocasesinthechemicalindustry，andbreakingdisciplinaryboundaries，thisstudyprovidesarefoplanfor cultivatinginterdisciplinaryelectronicsienceandtehnologtalentsithross-displinarythinkingovativecapabilities，and social responsibility.

Keywords：ArtificialInteligene（A）;StatisticalPhycs;electronicsienceandtehnologymajor;talenttrainng;transfoati paths

热力学统计物理作为物理学四大力学课程之一，是研究热现象和热运动规律的重要课程[1-2]，在学习本门课程之后，学生不仅应该能够完善物理学专业知识体系，还应该能够建立学习物理学知识的思维方式。（剩余6495字）