During online learning, machine learning algorithm can identify when student engagement falls, nudging students and helping teachers to intervene
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Article Title: A new ML-based approach to enhance student engagement in online environment
Author Countries: Saudi Arabia
Funding: The authors extend their appreciation to the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia for funding this research work through the project number PNU-DRI-RI-20-002.
Article URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0258788
Journal
PLOS ONE
Article Title
A new ML-based approach to enhance student engagement in online environment
Article Publication Date
10-Nov-2021
COI Statement
The authors declare that they have no conflicts of interest to report regarding the present study.