A Systematic Review of Predictive Factors for
Learner Attrition in Online Learning: Insights for
Machine Learning Models
Dublin Core
Title
A Systematic Review of Predictive Factors for
Learner Attrition in Online Learning: Insights for
Machine Learning Models
Learner Attrition in Online Learning: Insights for
Machine Learning Models
Subject
Learner Attrition, online learning, dropout, e-learning
retention
retention
Description
Over the past ten years, online education has
expanded rapidly due to its accessibility, scalability, and flexibility.
Despite its potential, high attrition rates in online education
threaten both student progress and the legitimacy of the
institution. A comprehensive analysis of empirical research on the
factors influencing learner attrition in online learning settings is
presented in this study. To identify the individual, course-level,
institutional, and technical causes of attrition, it incorporates and
categories the body of existing work. The results point to the
complex aetiology of attrition and identify important domains for
focused intervention and predictive modelling
expanded rapidly due to its accessibility, scalability, and flexibility.
Despite its potential, high attrition rates in online education
threaten both student progress and the legitimacy of the
institution. A comprehensive analysis of empirical research on the
factors influencing learner attrition in online learning settings is
presented in this study. To identify the individual, course-level,
institutional, and technical causes of attrition, it incorporates and
categories the body of existing work. The results point to the
complex aetiology of attrition and identify important domains for
focused intervention and predictive modelling
Creator
Stanley Munga Ngigi
Publisher
School of Pure and Applied Sciences
Kirinyaga University, Kutus, Kenya
Kirinyaga University, Kutus, Kenya
Date
june 2025
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Stanley Munga Ngigi, “A Systematic Review of Predictive Factors for
Learner Attrition in Online Learning: Insights for
Machine Learning Models,” Repository Horizon University Indonesia, accessed January 1, 2026, https://repository.horizon.ac.id/items/show/9746.
Learner Attrition in Online Learning: Insights for
Machine Learning Models,” Repository Horizon University Indonesia, accessed January 1, 2026, https://repository.horizon.ac.id/items/show/9746.