MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs.

Jifan Yu|Mengying Lu|Qingyang Zhong|Zijun Yao|Shangqing Tu|Zhengshan Liao|Xiaoya Li|Manli Li|Lei Hou|Hai-Tao Zheng|Juanzi Li|Jie Tang


Anthology ID:DBLP:conf/sigir/YuLZ0TLLLHZLT23
Volume:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
Year:2023
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:2924-2934
URL:https://doi.org/10.1145/3539618.3591898
DOI:https://doi.org/10.1145/3539618.3591898
DBLP:conf/sigir/YuLZ0TLLLHZLT23
BibTeX:
@inproceedings{yu-2023-moocradar, author = {Jifan Yu and Mengying Lu and Qingyang Zhong and Zijun Yao and Shangqing Tu and Zhengshan Liao and Xiaoya Li and Manli Li and Lei Hou and Hai-Tao Zheng and Juanzi Li and Jie Tang}, editor = {Hsin-Hsi Chen and Wei-Jou (Edward) Duh and Hen-Hsen Huang and Makoto P. Kato and Josiane Mothe and Barbara Poblete}, title = {{MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs}}, booktitle = {{Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023}}, pages = {2924--2934}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3539618.3591898}, doi = {https://doi.org/10.1145/3539618.3591898} }