AI+知识图谱赋能采矿专业数智化课程建设探索与实践

中图分类号：G642 文献标识码：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

在智能化时代背景下，高等教育体系正面临多维度的转型压力。（剩余4345字）