地理空间信息2026，Vol.24Issue(8)：136-140,5.DOI:10.3969/j.issn.1672-4623.2026.08.027
人工智能赋能空间分析课程教学与实践的路径探索
Pathways to AI-empowered Pedagogy and Practice in Spatial Analysis Teaching and Learning:An Integrated Exploration
摘要
Abstract
Spatial analysis,as the core and soul of geographic information science,covers the multifaceted technology framework of vector,ras-ter,three-dimension,attribute data analysis and spatial decision-making.Artificial intelligence(AI)technology has shown unique advantages in data processing,process reasoning,model optimization and interactive learning,and has received widespread attention in the field of teaching and learning.Supported by modern education theories,we explored the whole chain integration pathways of AI-empowered spatial analysis teach-ing and learning,and put forward an innovative"three-stage and seven-dimension"teaching mode.Firstly,we delineated the core content of course while systematically examining its distinctive characteristics and instructional challenges.Subsequently,we established the logical frame-work for AI-empowered integration in spatial analysis teaching and learning,elucidated AI-empowered educational theories,and identified key AI empowerment points.Finally,we designed a"three-stage and seven-dimension"teaching mode synergizing AI capabilities with spatial analysis pedagogy,accompanied by critical analysis of implementation challenges and corresponding mitigation strategies.关键词
教学模式/人工智能/空间分析/三阶七维/智慧赋能Key words
teaching mode/AI/spatial analysis/three-stage and seven-dimension/intelligent empowerment分类
天文与地球科学引用本文复制引用
巩现勇,刘呈熠,任红鸽,钱海忠..人工智能赋能空间分析课程教学与实践的路径探索[J].地理空间信息,2026,24(8):136-140,5.基金项目
国家自然科学基金资助项目(42371461) （42371461）
河南省高等教育教学改革研究与实践重大项目(2024SJGLX0007). （2024SJGLX0007）
