Deep FM-Based Predictive Model for Student Dropout in Online Classes
Author:
Affiliation:
1. Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Riyadh, Saudi Arabia
Funder
Researchers Supporting Project, King Saud University, Riyadh, Saudi Arabia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10239344.pdf?arnumber=10239344
Reference39 articles.
1. Stopout prediction in massive open online courses;taylor,2014
2. Predictive Modelling of Student Dropout Using Ensemble Classifier Method in Higher Education
3. Statistical Learning for Predicting School Dropout in Elementary Education: A Comparative Study
4. Student dropout prediction using machine learning techniques;dasi;Int J Intell Syst Appl Eng,2022
5. Predicting MOOC Dropout over Weeks Using Machine Learning Methods
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