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Applications of Machine Learning for At-Risk Student Prediction in Online Education: A 10-Year Systematic Review of Literature

Fuente: ERIC Institute of Education Sciences

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Bibliographic Details
Main Authors:	Hui Shi, Nuodi Zhang, Secil Caskurlu, Hunhui Na
Format:	Recurso educativo Open Access
Language:	en
Published:	2025
Subjects:	Artificial Intelligence Natural Language Processing Technology Uses in Education At Risk Students Electronic Learning Online Courses Academic Failure Dropouts Learner Engagement Student Behavior Predictor Variables Generalizability Theory
Online Access:	Acceder al recurso
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