摘要
传统教学环境中教师难以利用大量教学数据为每位学生提供个性化学习材料和活动,进而无法满足不同学生的学习风格和需求。因此提出一种课程知识图谱的表现形式及构建过程,具体包括数据采集、本体构建、关系定义和资源链接等环节,并最终形成可视化的课程知识图谱。探讨一种基于课程知识图谱的个性化教学方法,并在此基础上建立课程知识图谱的个性化教学层次模型。以程序设计语言Python为例,详细展示了教学设计及实现过程,为知识图谱运用于课程建设的实践提供了理论建议和实践参考。
This paper addresses the challenge faced by teachers in traditional teaching environments where they struggle to utilize large amounts of teaching data to provide personalized learning materials and activities for each student.This limitation makes it difficult to meet the diverse learning styles and needs of individual students.To address this issue,the paper proposes a curriculum knowledge graph representation and its construction process.This process includes data collection,ontology construction,relationship definition,and resource linking,ultimately resulting in a visualized curriculum knowledge graph.Furthermore,the paper explores personalized teaching methodologies based on the curriculum knowledge graph and establishes a hierarchical model for personalized instruction using this graph.Taking"Programming Language Python"as a case study,the paper provides a detailed demonstration of the teaching design and implementation process.This offers theoretical insights and practical guidance for applying knowledge graphs in curriculum development.
作者
张昭玉
胡伏原
唐佳佳
周蓓蓓
ZHANG Zhaoyu;HU Fuyuan;TANG Jiajia;ZHOU Beibei(School of Electronic&Information Engineering,Suzhou University of Science and Technology,Suzhou 215011,China)
出处
《软件导刊》
2025年第11期147-152,共6页
Software Guide
基金
江苏本科高校“理工类公共基础课程教学改革研究”专项课题(2024LGJK017)
苏州科技大学校级教研项目(PX-0231307)。
关键词
课程知识图谱
个性化教学
知识可视化
curriculum knowledge graph
personalized teaching
knowledge visualization
