基于学科知识图谱的个性化学习模型构建研究
Research on the Construction of Personalized Learning Model Based on Discipline Knowledge Graph
程格平 1谷琼 1宁彬 1熊启军 1魏希三1
作者信息
- 1. 湖北文理学院计算机工程学院 湖北·襄阳 441053
- 折叠
摘要
针对个性化学习服务能力不足的问题,该文利用学科知识图谱的理论和方法,提出了基于学科知识图谱的个性化学习模型,阐述了学科知识图谱的构建方法.根据学习者的基本属性和学习特征,构建了学习画像模型,设计出了基于学习者画像的个性化学习路径推荐策略.结果表明,模型的性能符合个性化学习的基本要求,对促进个性化学习具有一定的参考作用.
Abstract
Aiming at the problem of insufficient service ability of personalized learning,a personalized learning model based on discipline knowledge graph is proposed by using the theory and method of discipline knowledge graph,and the construction method of discipline knowledge graph is expounded.According to the basic attributes and learning characteristics of learners,a learning portrait model is constructed,and a personalized learning path recommendation strategy based on learner portraits is designed.The results show that the performance of the model meets the basic requirements of personalized learning and has certain reference significance for promoting personalized learning.
关键词
学科知识图谱/个性化学习/学习画像/学习路径推荐/性能指标Key words
discipline knowledge graph/personalized learning/learning profile/learning path recommendation/performance index引用本文复制引用
基金项目
湖北省教育科学规划2021年度重点课题(2021GA050)
湖北省优势特色学科群资助()
出版年
2024
NETL
NSTL
维普
万方数据