人工智能融入土地信息与数字治理课程体系的改革研究

The Reform of Integrating Artificial Intelligence into the Curriculum System of Land Information and Digital Governance

摘要: 土地信息与数字治理作为土地资源管理人才培养的核心课程，其教学内容、方法体系和能力培养模式亟待与人工智能深度融合。本文立足土地信息与数字治理课程教学实践，在明确课程体系刚性导致学习路径单一、技术体系与前沿衔接不足、实践教学存在瓶颈三重困境的基础上，从知识获取、数据分析、实践场景三个层面论证了AI融入课程体系的可行性。在此基础上提出基础、进阶、创新三阶递进的课程重构方案，并从课程知识图谱构建、AI与土地信息的集成技术应用、土地信息实践的场景应用与设计三个维度阐述了具体实施路径。研究旨在为土地信息类课程的智能化转型提供可操作的框架。

Abstract: As a core course in land resource management talent development, Land Information and Digital Governance urgently calls for the deep integration of artificial intelligence (AI) across its instructional content, pedagogical frameworks, and competency cultivation models. Drawing upon practical teaching experience, this paper first identifies three persistent predicaments: a rigid curriculum structure that constrains learning pathways, insufficient alignment between technical instruction and frontier developments, and notable bottlenecks in practical training. It then demonstrates the feasibility of AI integration from three complementary perspectives—knowledge acquisition, data analytics, and real-world applications scenarios. In response, this study proposes a three-tier progressive curriculum redesign comprising foundational, advanced, and innovative levels. The corresponding implementation pathways are articulated through three key dimensions: developing a curriculum knowledge graph, deploying integrated AI and land information technologies, and designing scenario-based applications in land information practice. Collectively, this research offers an actionable framework for steering the intelligent transformation of land information curricula.