基于“ AI+知识图谱”双轮驱动的能源动力类专业研究生核心基础课程设计

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中图分类号：G642 文献标志码：A 文章编号：2096-000X（2025）36-0099-04

Abstract：Againstthebackdropof the digital education strategy，thispaperadress thepainpointsinthecore foundatinalcourses （FluidMechanics，HeatTransfer，andThermodynamics）forpostgraduatesmajoringinenergyandpowerincludininsuicientknowledgeintegration，lackofpersonalizedtrainingandweakpracticalinnovationcapabilies.Tispaper takes the "AI + Knowledge Graph" dual-drive as thecore technical paradigm to construct athree-dimensional reform system featuring"knowledgestructuring，adaptiveteaching，anddynamicevaluation".KnowledgeGraphisusedtorealizecross-ourse knowledgeasociationandvisualization，whileAI technologysupportslearningbehavioranalysisandteachingdecision optimization.Thetwoworkinsynergytosolvetheproblemsof"fragmentedknowledge"，"passivelearning"，and"simplified evaluation"intraditionalteaching.Buildingontheteam'sexistingfoundations-suchasprovincial-levelfirst-classcourseand virtualsimulationexperimentprojects-thepaperfocusesonexpoundingthecoremechanismsofthedual-driveinknowledge integration，pathptizationvirtualealexperimentintegationndevaluatioiovationThesudyistoprovideeplicable practicalpathsandsystematicreferencesfortheinteligentreforofpostgraduatecoursesinscienceandengineeringdisciplines.

Keywords：AItechnology;knowledgegraph;dual-drive;energyandpowerdisciplines;cross-courseassociation;knowledge integration

2019年，中共中央、国务院印发了《中国教育现代化 2035⟩⇑ ，指出“利用现代技术加快推动人才培养模式改革，实现规模化教育与个性化培养的有机结合”。（剩余5479字）