计算机科学 ›› 2021, Vol. 48 ›› Issue (6A): 644-648.doi: 10.11896/jsjkx.200700163

• 交叉&应用 • 上一篇    下一篇

基于知识图谱的认知诊断模型及其在教辅中的应用研究

黄梅根, 刘川, 杜欢, 刘佳乐   

  1. 重庆邮电大学计算机科学与技术学院 重庆400065
  • 出版日期:2021-06-10 发布日期:2021-06-17
  • 通讯作者: 黄梅根(huangmg@cqupt.edu.cn)
  • 基金资助:
    018年国家社科基金项目(18BGL266)

Research on Cognitive Diagnosis Model Based on Knowledge Graph and Its Application in Teaching Assistant

HUANG Mei-gen, LIU Chuan, DU Huan, LIU Jia-le   

  1. School of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
  • Online:2021-06-10 Published:2021-06-17
  • About author:HUANG Mei-gen,born in 1963,senior engineer.His main research interests include software-defined network,data center network and machine learning.
  • Supported by:
    2018 National Social Science Fund(18BGL266).

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。

关键词: 教辅系统, 认知诊断模型, 图数据库Neo4j, 知识图谱

Abstract: With the gradual update of the Internet industry,online learning and online classes have become an indispensable part of most families.The development of computer-assisted learning systems has led to an increase in the research on knowledge diagnosis,in which students' performance in coursework can be predicted over time.Due to the urgent need for educational applications with knowledge graphs,this paper developes a system called KGIRT.Its specific functions are as follows.First,it constructs a knowledge map (KG) for junior and high school mathematics courses.Compared with the traditional education domain know-ledge map,the mathematical subject knowledge map created in this paper focuses on knowledge itself,not limited to grades and books.It associates the mathematics knowledge points of junior high school and high school in the same knowledge graph accor-ding to the logical relationship,and students can judge the mastery of relevant knowledge points by using this system.Second,it sets the difficulty of the topic in the system diagnosis model.And by introducing the expert method into the diagnosis model,it makes the judgment of the difficulty of the topic more accurate,more objective and more systematic.Third,it combines the knowledge map with the cognitive diagnosis model,and the cognitive diagnosis model based on the knowledge map is used.Charts and matrices indicate the current status of student knowledge.Finally,based on the joint application of the knowledge graph database Neo4j and cognitive diagnosis model,an online learning WeChat applet KGIRT is developed,which realizes the transformation from theory to application.

Key words: Cognitive diagnosis model, Graph database Neo4j, Knowledge graph, Teaching assistant system

中图分类号: 

  • TP391.7
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