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Education Study

ISSN Print:2707-0611
ISSN Online:2707-062X
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面向专业学位研究生的知识图谱课程教学改革探索与实践

Exploration and Practice of Knowledge Graph Course Teaching Reform for Professional Degree Postgraduates

Education Study / 2026,8(3): 231-237 / 2026-03-25 look14 look8
  • Authors: 丁辉
  • Information:
    合肥大学,合肥
  • Keywords:
    Knowledge Graph; Teaching reform; Course resource construction; Formative evaluation; Large Language Model
    知识图谱; 教学改革; 课程资源建设; 形成性评价; 大语言模型
  • Abstract: As a core technology in artificial intelligence, Knowledge Graph (KG) boasts broad application prospects in engineering. To address the critical challenges in KG courses for professional degree postgraduates — namely the scarcity of resources for emerging subjects, ambiguous engineering objectives, and rigid evaluation methods — this paper proposes a systematic pedagogical reform centered on course resource development. Grounded in the Outcome-Based Education (OBE) concept and Bloom’s Taxonomy, a three-dimensional progressive system of teaching objectives is established. The research focuses on the design and implementation of a “Four-Repository, One-Platform” dynamic resource ecosystem. This ecosystem integrates four specialized repositories — Basic Theory, Engineering Practice, Industry-Education Case Studies, and Frontier Tracking — into a unified smart teaching platform, leveraging Large Language Models (LLMs) to enable automated resource updates. On this basis, a comprehensive “Three-stage, Four-inone” instructional framework is implemented. Practice demonstrates that this reform effectively fills the resource gap, enhances students’ engineering proficiency and innovative thinking, and provides a valuable benchmark for developing frontier AI-related curricula. 知识图谱作为人工智能领域的核心技术,在实际工程中具有广泛的应用前景。针对当前专业学位研究生知识图谱这门新兴课程面临的教学资源匮乏、工程应用目标不明确及评价手段固化等痛点,本文提出了一套以课程资源建设为核心的系统性教学改革方案。研究基于成果导向教育(OBE)理念与布鲁姆分类法,构建了三维递进式的教学目标体系;重点设计并实现了包含基础理论、工程实践、前沿追踪与产教融合的“四库一平台”动态课程资源体系,引入大语言模型赋能资源的自动更新;在此基础上,设计了“三阶段四位一体”的完整教学方案。实践结果表明,该改革方案有效弥补了新兴课程的资源短板,提升了学生的工程实践能力和创新思维,为人工智能相关前沿课程的建设提供了有益的参考。
  • DOI: https://doi.org/10.35534/es.0803043 (registering DOI)
  • Cite: 丁辉.面向专业学位研究生的知识图谱课程教学改革探索与实践[J].教育研讨,2026,8(3):231-237.
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