计算机科学 ›› 2021, Vol. 48 ›› Issue (6A): 644-648.doi: 10.11896/jsjkx.200700163
黄梅根, 刘川, 杜欢, 刘佳乐
HUANG Mei-gen, LIU Chuan, DU Huan, LIU Jia-le
摘要: 随着互联网行业的日渐更新,在线学习、上网课已经成为多数家庭不可或缺的一部分。随着计算机辅助学习系统的发展,对知识诊断的研究增加,其中随着时间的推移可以预测学生在课程作业中的表现。由于迫切需要带有知识图谱的教育应用程序,文中开发了一个名为KGIRT的系统。其具体功能如下:1)构建面向初中、高中数学课程的知识图谱(KG),与传统教育领域知识图谱相比,文中创建的数学学科知识图谱以知识本身为重点,不限于年级与书本,将初中和高中的数学知识点按照逻辑关系关联在同一个知识图谱中,学生通过使用本系统可以判断出相关知识点的掌握情况;2)在系统诊断模型中对题目的难度进行分级设置,并且通过在诊断模型中引入专家法,使得对题目难度的判定更准确、更客观、更系统;3)将知识图谱和认知诊断模型结合,采用基于知识图谱的认知诊断模型得到用图表和矩阵直观表示的学生知识现状;4)在知识图谱的图数据库Neo4j和认知诊断模型的联合应用的基础上,开发了一个在线学习的微信小程序KGIRT,实现了从理论到应用的转化。
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