AI+知識圖譜賦能采礦專業(yè)數(shù)智化課程建設探索與實踐

中圖分類號：G642 文獻標識碼：A DOI：10.16400/j.cnki.kjdk.2025.19.006

Exploration and Practice of AI + Knowledge Graph Empowering Intelligent Curriculum Construction for Mining Engineering

LI Jianzhong，WANG Kai， ZHANG Xiaoqiang

（CUnvg Ul ivg Lngmuvig， iayuan Umvvisity Ul ivviugy， 1aiyuall， Suaiai UJvvz4） AbstractAgainst the backdropof rapid advancements in artificial inteligence （AI） and knowledge graph technologies，mining engineering educationis facing strategic opportunities fordigitaltransformation.The deep integrationof these two technologies provides key technical support for constructinganew intelligent curriculum systemforminingengineering.This papersystematicallydiscusses the integration pathwaysand practical modelsof AI and knowledge graph technologies in the intelligent curriculum constructionof mining engineering，demonstrating their application value and practical effects from multiple dimensions，including curriculum system redesign， innovationin knowledgedeliverymethods，constructionofpersonalized learningpaths，and deepeningof industryuniversity-research colaborativeeducation mechanisms.Based onempirical analysis of typical teaching cases，this studyaims toprovideoperationalpractical guidance forminingeducationprofesionals，withaviewto promoting the intelligent transformation of mining engineering education.

Keywordsartificial intelligence（AI）; knowledge graph; mining engineering; intelligent curriculum

在智能化時代背景下，高等教育體系正面臨多維度的轉型壓力。（剩余4345字）