人工智能驱动下矿业拔尖人才个性化培养路径探索

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中图分类号：C961 文献标志码：A 文章编号：2096-000X（2026）11-0023-05

Abstract：Thepersonalizedcultivationofoutstandingminingtalentsisanurgentneedforthedevelopmentofthemining sectorinthenewera，astraditionalcultivationmodelsstrugletometthedemandsofrapidtechnologicaldvancement. Artificialinteligence，byestablishingadata-driven，learner-centeredciationmodel，canahieveaclosedoofpersoalized education-fromdiagnosisandrecommendationtoevaluation-makingitapowerfulmethodforrealizingthepersonalizedcultivation ofoutstandingminingtalents.Inresponsetoissessuchastheinsuffientadaptabilityofintellgntminingteachingsystes，the laginconstructingmining knowledgegraphs，andthelimitedAI-asistedteachingcapablitiesofinstructors，thisstudyproposes severalAI-basedpathways.Theseincludebuildingdynamiclearningdemanddiagnosismodels，developingadaptiveresource recommendation systems，and establishing a collborative teaching model combining "AI + instructors".Ultimately，this aimsto constructaninteligentandpersonalizedminingeducationecosystem，therebypromoting high-qualitydevelopmentinthe personalized cultivation of outstanding mining talents.

Keywords：artificial inteligence; mining engineering; personalized training;educational reform； data-driven

随着社会与科技的迅速发展，现代矿业领域对矿业拔尖人才的个性化培养提出了更高要求。（剩余6753字）