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Design and Research of Intelligent Question-Answering(Q&A) System Based on High School Course Knowledge Graph
Mobile Networks and Applications ( IF 3.8 ) Pub Date : 2021-01-04 , DOI: 10.1007/s11036-020-01726-w
Zhijun Yang , Yang Wang , Jianhou Gan , Hang Li , Ning Lei

Question answering is an indispensable link in high school teaching. Through question answering, on the one hand, it can solve students’ learning doubts, on the other hand, it can provide teachers with teaching feedback. However, through the investigation and research, it is found that with the expansion of student size, the effect of question answering in high school is not satisfactory. This paper analyzes the current situation of question answering in high school, and designs an intelligent question answering system for high school teaching based on constructivism learning theory and cognitive structure learning theory. The system, which is the first innovative application in the field of high school teaching, integrates knowledge graph technology and intelligent question answering technology, introduces big data technology. It can solve students’ questions in time and accurately, link the knowledge points related to the questions to help students construct knowledge network graph, and the big data technology is used to analyze the students’ questioning behavior and to predict students’ learning behavior in order to feedback the teaching effect.



中文翻译:

基于高中课程知识图的智能问答系统的设计与研究

问答是高中教学中必不可少的环节。通过问答,一方面可以解决学生的学习疑惑,另一方面可以为教师提供教学反馈。但是,通过调查研究发现,随着学生规模的扩大,高中生的答题效果并不理想。本文分析了高中生答题的现状,设计了一种基于建构主义学习理论和认知结构学习理论的高中生智能答疑系统。该系统是高中教学领域的第一个创新应用,它集成了知识图技术和智能问答技术,并引入了大数据技术。

更新日期:2021-01-04
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