Machine learning model (RG-DMML) and ensemble algorithm for prediction of students’ retention and graduation in education

Machine learning model (RG-DMML) and ensemble algorithm for prediction of students’ retention and graduation in education

Automated prediction of students' retention and graduation in education using advanced analytical methods such as artificial intelligence (AI), has recently attracted the attention of educators, both in theory and in practice. Whereas invaluable insights and theories for measuring and testing t...

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Bibliographic Details
Main Authors: Kingsley Okoye, Julius T. Nganji, Jose Escamilla, Samira Hosseini
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Computers and Education: Artificial Intelligence
Subjects:
AI in education
Machine learning
Predictive modeling
Educational data
Educational innovation
Classification algorithm
Online Access:http://www.sciencedirect.com/science/article/pii/S2666920X24000067

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