A Survey of Machine Learning Approaches and Techniques for Student Dropout Prediction (original) (raw)

School dropout profiling and prediction approach using machine learning

Khamisi Kalegele

International Journal of Information Technology, Communications and Convergence, 2020

View PDFchevron_right

Towards a Students’ Dropout Prediction Model in Higher Education Institutions Using Machine Learning Algorithms

khalid oqaidi

International Journal of Emerging Technologies in Learning (iJET)

View PDFchevron_right

Predictive Analytics in Education Evaluating Machine Learning Methods for Student Dropout Prediction

Iatrellis Omiros

J. Electrical Systems, 2024

View PDFchevron_right

A Real-Life Machine Learning Experience for Predicting University Dropout at Different Stages Using Academic Data

Carlos Preciado

IEEE Access, 2021

View PDFchevron_right

Enhanced Prediction of Student Dropouts Using Machine Learning Techniques

Rajeswari raj

View PDFchevron_right

A methodology to design, develop, and evaluate machine learning models for predicting dropout in school systems: the case of Chile

Patricio Rodríguez

Education and Information Technologies

View PDFchevron_right

Machine learning approach for reducing students dropout rates

Neema Mduma

International Journal of Advanced Computer Research

View PDFchevron_right

An Analysis on Predicting Student Dropout Using Machine Learning

Thulasi Bharathi

2020

View PDFchevron_right

Literature Survey on Educational Dropout Prediction

Dr Mukesh Kumar

View PDFchevron_right

A Machine Learning Approach to Detect Student Dropout at University

Masum Bakaul, Shiful Islam Shohag, WARSE The World Academy of Research in Science and Engineering

International Journal of Advanced Trends in Computer Science and Engineering, 2021

View PDFchevron_right

An Ensemble Predictive Model Based Prototype for Student Drop-out in Secondary Schools

Khamisi Kalegele

Journal of Information Systems Engineering & Management, 2019

View PDFchevron_right

Evaluation of Prediction Algorithms in the Student Dropout Problem

David Terán Villanueva

Journal of Computer and Communications, 2020

View PDFchevron_right

Enabling Proactive Management of School Dropouts Using Neural Network

Khamisi Kalegele

Journal of Software Engineering and Applications, 2020

View PDFchevron_right

Predicting Students' Dropout Indicators in Public School using Data Mining Approaches

WARSE The World Academy of Research in Science and Engineering

View PDFchevron_right

Towards Sustainable Education: A Machine Learning Model for Early Student Dropout Prediction in Higher Education Institutions

humphrey Mukooyo

2024

View PDFchevron_right

Early Detection of Students at Risk – Predicting Student Dropouts Using Administrative Student Data and Machine Learning Methods

Kerstin Schneider

SSRN Electronic Journal, 2018

View PDFchevron_right

A Machine Learning Approach to Identifying Students at Risk of Dropout: A Case Study

manoj lall

International Journal of Advanced Computer Science and Applications

View PDFchevron_right

Predicting Dropouts in Montgomery County Public Schools: A Machine Learning Approach to Educational Policy

Christine Cook, Bridgit Donnelly, Joshua Gary Mausolf

View PDFchevron_right

A MACHINE LEARNING APPROACH TO PREDICT STUDENTS DROPOUT IN ZIMBABWE UNIVERSITIES: A CASE STUDY OF CHINHOYI UNIVERSITY OF TECHNOLOGY

Raphael Muchovo

chinhoyi university of technology, 2021

View PDFchevron_right

Using Machine Learning Techniques to Predict Learner Drop-out Rate in Higher Educational Institutions

Charles Buabeng-Andoh

Mobile Information Systems

View PDFchevron_right

Machine Learning Prediction of University Student Dropout: Does Preference Play a Key Role?

Adolfo Hernández

Mathematics

View PDFchevron_right

A comparative study of WHO and WHEN prediction approaches for early identification of university students at dropout risk

Jorge L Poco

2021 XLVII Latin American Computing Conference (CLEI), 2021

View PDFchevron_right

An Application of Machine Learning in Public Policy: Early Warning Prediction of School Dropout in the Chilean Public Education System

Jerome P . F . Smith-Uldall

Multidisciplinary Business Review

View PDFchevron_right

Early dropout prediction using data mining: a case study with high school students

Cristóbal Romero

Expert Systems, 2015

View PDFchevron_right

A Brief Review about Educational Data Mining applied to Predict Student’s Dropout

Diego B Haddad

Anais da V Escola Regional de Sistemas de Informação do Rio de Janeiro, 2018

View PDFchevron_right

High-School Dropout Prediction Using Machine Learning: A Danish Large-Scale Study

Christian Igel

View PDFchevron_right

Early Dropout Prediction Model: A Case Study of University Leveling Course Students

JACK VIDAL

2020

View PDFchevron_right

Comparative Analysis of Data Mining Algorithms Applied to the Context of School Dropout

Methanias Colaço Júnior

Communication Papers of the 2019 Federated Conference on Computer Science and Information Systems, 2019

View PDFchevron_right

Intelligent System to Predict University Students Dropout

P4r chess

International Journal of Online and Biomedical Engineering (iJOE)

View PDFchevron_right

Students’ Academic Performance and Dropout Prediction

Moshood Alarape

MALAYSIAN JOURNAL OF COMPUTING, 2019

View PDFchevron_right

The Use of Predictive Analyzes for University Dropout Cases

El-Kaber HACHEM

Iraqi journal of science, 2021

View PDFchevron_right