基于人工智能的《GIS算法基础》智能教学系统设计

Design of an Intelligent Instructional System for the Course “Fundamentals of GIS Algorithms” Based on Artificial Intelligence

摘要: 由于《GIS算法基础》课程庞杂的教学内容、单一的教学方式以及教学方法难以促进学生学习等因素，导致学生学习效果欠佳，而随着人工智能(AI)等现代信息技术的发展，GIS教育迎来新的发展方向。以《GIS算法基础》为例，探讨一种人工智能支持的教学改革方案，核心是如何实现教材内容更新及教学辅助系统的建设和完善，基于此提出一种多源信息采集 + 知识图谱 + 智能内容生成的教学资源动态更新综合方案，开发集成领域知识库和语义理解模型的教学辅助系统。为地理信息科学专业的人才培养提供了可行的技术实施方案和实践案例。

Abstract: Owing to the extensive scope of the curriculum, monolithic pedagogy, and instructional methods that inadequately foster active learning, the course “Fundamentals of GIS Algorithms” frequently yields sub-optimal learning outcomes. Recent advances in artificial intelligence (AI) and related information technologies have, however, opened new avenues for GIS education. Taking “Fundamentals of GIS Algorithms” as a case study, we propose an AI-empowered pedagogical reform whose central objective is the continuous renewal of curricular content and the development of an intelligent instructional support system. Specifically, we present an integrated framework that couples multi-source data acquisition, knowledge-graph construction, and AI-driven content generation to achieve dynamic updating of instructional resources. On this basis, an instructional assistance system integrating a domain-specific knowledge base and a semantic-understanding model is developed. The proposed approach offers both a technically feasible implementation pathway and an empirical reference for cultivating professionals in geographic information science.