MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs
Jifan Yu, Gan Luo, Tong Xiao, Qingyang Zhong, Yuquan Wang, Wenzheng Feng, Junyi Luo, Chenyu Wang, Lei Hou, Juanzi Li, Zhiyuan Liu, Jie Tang
Abstract
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.- Anthology ID:
- 2020.acl-main.285
- Volume:
- Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Month:
- July
- Year:
- 2020
- Address:
- Online
- Editors:
- Dan Jurafsky, Joyce Chai, Natalie Schluter, Joel Tetreault
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 3135–3142
- Language:
- URL:
- https://aclanthology.org/2020.acl-main.285
- DOI:
- 10.18653/v1/2020.acl-main.285
- Cite (ACL):
- Jifan Yu, Gan Luo, Tong Xiao, Qingyang Zhong, Yuquan Wang, Wenzheng Feng, Junyi Luo, Chenyu Wang, Lei Hou, Juanzi Li, Zhiyuan Liu, and Jie Tang. 2020. MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 3135–3142, Online. Association for Computational Linguistics.
- Cite (Informal):
- MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs (Yu et al., ACL 2020)
- PDF:
- https://preview.aclanthology.org/naacl24-info/2020.acl-main.285.pdf