植物学报

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基于AI的植物生物学课程知识图谱建设与应用

赵慧1,杨晓瑞1,韩洁1,陈四龙2   

  1. 1. 河北科技大学 食品与生物学院
    2. 河北科技大学
  • 收稿日期:2025-08-16 修回日期:2025-11-07 出版日期:2025-12-16 发布日期:2025-12-16
  • 通讯作者: 陈四龙
  • 基金资助:
    河北省高等教育教学改革研究与实践项目

Construction and Application of Knowledge Graph for Plant Biology Course Based on AI

Hui ZHAO1, Si-Long Chen1   

  • Received:2025-08-16 Revised:2025-11-07 Online:2025-12-16 Published:2025-12-16
  • Contact: Si-Long Chen

摘要: 在教育数智化变革背景下,知识图谱作为新型数字化技术的典型代表,与教育教学的深度融合正成为教育领域的前沿热点。本研究以植物生物学课程为例,借助智慧教育平台和AI技术,系统构建课程知识图谱并开展应用实践,以探究其在教育教学中的实质作用。研究结果表明,课程知识图谱有助于学生梳理知识点关系、拓宽知识面、构建知识体系,并辅助学生制定个性化学习路径,提高学习成绩、提升学习能力;对教师而言,课程知识图谱是高效管理教学资源的有力工具,个性化学习数据驱动教师及时把握学生个体差异,展开精准辅导,持续提升教学质量。这种“教师-知识图谱-学生”三方协同的学习生态,为教育数智化变革提供了极具价值的实践范式。

关键词: 植物生物学, 知识图谱, 学习通, AI, 个性化学习

Abstract: Under the background of the digital and intelligent transformation in education, knowledge graphs, as a typical representative of new digital technologies, are deeply integrated with teaching and learning, becoming a hotspot in the field of education. Leveraging smart education platform and AI technologies, a systematic knowledge graph for the course of plant biology was constructed in this study, and teaching practices were conducted to explore its substantive role in teaching and learning. The research results indicate that the course knowledge graph not only helps students organize the relationships between knowledge points, broaden their knowledge horizons, and thus build a systematic knowledge system, but also assists students in formulating personalized learning paths to improve scores and learning abilities. For teachers, the course knowledge graph serves as a powerful tool for efficiently managing teaching resources. Personalized learning data drives teachers to clearly grasp individual student differences, provide precise guidance, and continuously enhance teaching quality. This tripartite collaborative learning ecosystem of 'teacher-knowledge graph-student' provides a highly valuable practical model for the digital and intelligent transformation of education.

Key words: plant biology, knowledge graph, Xuexitong, artificial intelligence, personalized learning