基于人工智能的高职地质专业实践教学模式研究

Research on Practical Teaching Model of Higher Vocational Geology Major Based on Artificial Intelligence

摘要: 人工智能技术的快速发展正深刻重塑地质行业的技能需求与人才培养模式。当前高职地质专业实践教学面临资源与安全瓶颈、教学内容滞后、教学效率不足及评价体系单一等问题。本文通过分析国内外研究现状，提出构建“虚实结合、数据驱动、产教协同”的新型教学体系，利用VR/AR技术模拟高危地质场景，引入智能勘探技术(如三维地质建模、无人机遥感、大数据分析)优化课程内容，并基于机器学习算法实现个性化学习路径规划与动态评估。研究表明，该模式能有效突破实训资源限制，提升学生实践能力与职业素养，为培养“地质 + AI”复合型人才提供理论支撑与实践路径。

Abstract: The rapid development of artificial intelligence technology is profoundly reshaping the skill demands and talent cultivation models in the geological industry. Currently, practical teaching in higher vocational geology majors faces challenges such as resource and safety bottlenecks, outdated teaching content, insufficient teaching efficiency, and a monolithic evaluation system. By analyzing the current research status both domestically and internationally, this paper proposes the construction of a new teaching system characterized by “virtual-real integration, data-driven approach, and industry-education collaboration”. This system utilizes VR/AR technology to simulate high-risk geological scenarios, incorporates intelligent exploration technologies (such as 3D geological modeling, drone remote sensing, and big data analytics) to optimize the curriculum, and implements personalized learning path planning and dynamic assessment based on machine learning algorithms. The research indicates that this model can effectively break through the limitations of practical training resources, enhance students’ practical skills and professional literacy, and provide theoretical support and practical pathways for cultivating “Geology + AI” interdisciplinary talents.