报告题目：MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs

论文出处：ACL 2020

作者：

Jifan Yu^1*,Gan Luo^1*,Tong Xiao¹,Qingyang Zhong¹,Yuquan Wang¹,Wenzheng Feng¹,Junyi Luo¹,Chenyu Wang¹,Lei Hou^1,2,3,Juanzi Li^1,2,3+,Zhiyuan Liu^1,2,3,Jie Tang^1,2,3

单位：

¹Dept. of Computer SCi.& Tech., Tsinghua University, China 100084

²KIRC, Institute for Artificial Intelligence, Tsinghua University, China 100084

³Beijing National Research Center for Information Science and Technology, China 100084

报告人：陈露

报告时间：2022年9月12日 下午2:00

报告地点：贵州大学北校区博学楼623-2室

报告内容摘要：

The prosperity of Massive Open Online Courses (MOOCs) provides fodder for many NLP and AI research for education applications, e.g., course concept extraction, prerequisite relation discovery, etc. However, the publicly available datasets of MOOC are limited in size with few types of data, which hinders advanced models and novel attempts in related topics. Therefore, we present MOOCCube, a large-scale data repository of over 700 MOOC courses, 100k concepts, 8 million student behaviors with an external resource. Moreover, we conduct a prerequisite discovery task as an example application to show the potential of MOOCCube in facilitating relevant research. The data repository is now available at

http://moocdata.cn/data/MOOCCube.