ETREducational Theory and Research2995-34482995-3456Art and Technology10.61369/ETR.2025460039ArticleAI 赋能旅游类专业GIS课程重构https://artdesignp.com/journal/ETR/3/46/10.61369/ETR.2025460039秦静20253462025-11-14本文围绕“问题—数据—模型—叙事”的统一工作流，提出并实施一套以 AI 赋能为核心的旅游类专业 GIS 课程重构方案，突出“三层递进、能力贯穿”的结构与“可解释基线 + AI 增强”的成对训练。具体而言：第一层夯实空间思维与数据准备；第二层以传统 GIS 空间分析构建可解释基线，并引入 GeoAI/AIGC 要素形成 AI 增强对照；第三层强调从分析到行动的地图叙事与策略转译。课程以多案例与微项目的短闭环贯穿三层，将 AIGC 与 GeoAI 嵌入传统 GIS 工作流，在同一任务链中实现“概念理解—方法运用—情境转化”的一体化训练，促使学生从静态制图迁移到时空过程理解与决策支持，提升了在智慧旅游情境中的问题诊断、数据分析与可视化表达能力。本文为旅游类 GIS 课程在 AI 时代的更新提供了可复制、可推广的路径，并为后续案例库建设、可解释性增强与评价机制完善奠定基础。旅游GIS,GeoAI,AIGC,教学设计,课程重构

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