基于知识图谱的高校通识学科教学生态重塑
The Remodeling of Teaching Ecology for General Education Disciplines in Universities Based on Knowledge Graph
朱晓洁 1查振宇1
作者信息
- 1. 浙江同济科技职业学院,杭州 311231
- 折叠
摘要
随着人工智能技术的发展,知识图谱作为一种新型的知识表示和管理方式,正逐渐被广泛应用到各行各业.在目前的教学实践中,有必要对知识图谱在高校通识课程中的应用进行生态化重塑,研究核心要素,在实践中探索相关的策略和方法,以提升个性化教学的需求和效果.基于知识图谱的通识课个性化生态教学模式,能解决目前高校通识教育中知识碎片化、教学效率低等问题,较好地提升教学的效率和效果,有较高的教学实践意义.
Abstract
With the development of AI technology,knowledge graph,as a new way of knowledge representation and management,is gradually being widely applied to various industries.In the current teaching practice,it is necessary to ecologically remodel the appli-cation of knowledge graphs in general education courses in universities,study core elements,and explore relevant strategies and methods in practice to enhance the demand and effectiveness of personalized teaching.The personalized ecological teaching model of general education courses based on knowledge graphs can solve the problems of knowledge fragmentation and low teaching efficiency in current general education in universities,effectively improving the efficiency and effectiveness of teaching,and has high practical sig-nificance in teaching.
关键词
知识图谱/高校/通识课/生态/重塑Key words
knowledge graph/universities/general education courses/ecology/remodeling引用本文复制引用
出版年
2024
NETL
NSTL
万方数据