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Constructing an Educational Knowledge Graph with concepts Linked to Wikipedia

Journal of Computer Science & Technology 2021年第5期36卷 1200-1211页

作者： Fu-Rong Dang Jin-Tao Tang Kun-Yuan Pang Ting Wang Sha-Sha Li Xiao Li College of Computer Science and Technology National University of Defense TechnologyHunan 410073China Information Center National University of Defense TechnologyHunan 410073China

To use educational resources efficiently and dig out the nature of relations among MOOCs(massive open online courses),a knowledge graph was built for MOOCs on four major platforms:Coursera,EDX,XuetangX,and *** paper demonstrates the whole process of educational knowledge graph construction for *** this knowledge graph,the largest knowledge graph of MOOC resources at present,stores and represents five classes,11 kinds of relations and 52779 entities with their corresponding properties,amounting to more than 300000 ***,24188 concepts are extracted from text attributes of MOOCs and linked them directly with corresponding Wikipedia entries or the closest entries calculated semantically,which provides the normalized representation of knowledge and a more precise description for MOOCs far more than enriching words with explanatory ***,prerequisites discovered by direct extractions are viewed as an essential supplement to augment the connectivity in the knowledge *** knowledge graph could be considered as a collection of unified MOOC resources for learners and the abundant data for researchers on MOOC-related applications,such as prerequisites mining.

关键词： concept extraction educational resource knowledge graph massive open online course(MOOC) prerequisite

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XiaoMu: an AI-driven assistant for MOOCs

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Science China(Information Sciences) 2021年第6期64卷 222-224页

作者： Zhengyang SONG Jie TANG Tracy Xiao LIU Wenjiang ZHENG Lili WU Wenzheng FENG Jing ZHANG Institute for Interdisciplinary Information Sciences Tsinghua University Department of Computer Science and Technology Tsinghua University School of Economics and Management Tsinghua University Center for Strategic Studies Chinese Academy of Engineering Information School Renmin University of China

Nowadays, massive open online courses(MOOCs), are attracting widespread interest as an alternative education model. Several MOOCs platforms, such as Coursera, edX,and Udacity have been built and they provide low-cost opportunities for anyone who needs to access a massive number of courses from the worldwide top universities. However, the learning completion rate of the learners via MOOCs is extremely low compared with that in real classroom ***, this study builds a system, called XiaoMu, to design intelligent intervention strategies for the learning process of learners and improve the learning efficiency through automatic analysis of courses and learners. We deployed our system on the website1), which is one of the largest MOOCs in China.

关键词： MOOCs concept extraction Question Answering Course Recommendation Video Navigation

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互联网群体协作概念、应用与适用理论探讨

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图书馆学情报学 2013年第8期

作者：范哲吴克文朱庆华徐孝娟 Julita Vassileva

文章以文献数据库收集的31篇互联网群体协作的英文文献为主要样本集，用内容分析法提取描述互联网群体协作概念的关键词，映射于IPO过程模型的9个方面，得到该概念完整的特征描述，总结出较为全面的定义。通过与14个相近概念进行比较，... 详细信息

文章以文献数据库收集的31篇互联网群体协作的英文文献为主要样本集，用内容分析法提取描述互联网群体协作概念的关键词，映射于IPO过程模型的9个方面，得到该概念完整的特征描述，总结出较为全面的定义。通过与14个相近概念进行比较，明确概念之间的特征，典型案例被映射于过程模型以突出概念的特性和包容性。基于互联网群体协作的新特点进行了理论展望。

关键词：群体协作虚拟协作概念抽取内容分析 Mass collaboration Virtual collaboration concept extraction Content analysis

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