人工智能视角下教育知识图谱智能应用综述

Linjing Wu, Fengjiao Tu, Qingtang Liu, Xinqian Ma, Xiangchen Jia, Yu Gao
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引用次数: 0

摘要

近年来,知识图谱技术得到了迅速发展。它基于语义网络的思想,实现了对事物及其关系的形式化描述。随着知识图谱技术的发展,为解决知识搜索推理、教育资源组织和自适应学习等问题带来了新的思路。经过三年的快速发展,学术知识图谱出现了许多智能化的应用。这些应用程序可以分为六类。它们是回答机器人、大数据分析和教育决策、教育资源语义、数字教科书、复杂问题解决和自适应学习系统。最后,分析了教育知识图谱应用中存在的问题。希望为进一步解决教育教学中存在的问题提供思路和启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review of Intelligent Application of Educational Knowledge Graph from the Perspective of Artificial Intelligence
Recently, knowledge graph technology has developed rapidly. It is based on the idea of a semantic network, which realizes the formal description of things and their relationships. With the development of knowledge graph technology, new ideas have been brought to solve knowledge search reasoning, educational resource organization and adaptive learning. After three years of rapid development, there are many intelligent applications in academic knowledge graph. These applications can be divided into six categories. They are answering robots, big data analysis and educational decision-making, semantic of educational resources, digital textbooks, complex problem solving and adaptive learning system. Finally, the existing problems in the application of educational knowledge graph are analyzed. It is hoped to provide ideas and enlightenment for further solving the problems in education and teaching.
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