Quantification and prediction of engagement: Applied to personalized course recommendation to reduce dropout in MOOCs.

Shu Li|Yuan Zhao|Longjiang Guo|Meirui Ren|Jin Li|Lichen Zhang|Keqin Li


Anthology ID:DBLP:journals/ipm/LiZGRLZL24
Year:2024
Venue:Information Processing and Management
Pages:103536
URL:https://doi.org/10.1016/J.IPM.2023.103536
DOI:https://doi.org/10.1016/J.IPM.2023.103536
DBLP:journals/ipm/LiZGRLZL24
BibTeX:
@article{li-2024-quantification, author = {Shu Li and Yuan Zhao and Longjiang Guo and Meirui Ren and Jin Li and Lichen Zhang and Keqin Li}, title = {{Quantification and prediction of engagement: Applied to personalized course recommendation to reduce dropout in MOOCs}}, journal = {Information Processing and Management}, volume = {61}, number = {1}, pages = {103536}, year = {2024}, url = {https://doi.org/10.1016/J.IPM.2023.103536}, doi = {https://doi.org/10.1016/J.IPM.2023.103536} }