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All issues SHS Web Conf., 129 (2021) 09001 Article references

Articles citing this article

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Cited article:

Enhancing Student Retention in Higher Education Institutions (HEIs): Machine Learning Approach

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Electronics 15 (4) 734 (2026)
https://doi.org/10.3390/electronics15040734

Towards accessible AI for addressing students’ academic dropout: an auto machine learning and explainable artificial intelligence approach

Pamela Buñay-Guisñan, Juan A. Lara, Alberto Cano, Rebeca Cerezo and Cristóbal Romero
Universal Access in the Information Society 25 (1) (2026)
https://doi.org/10.1007/s10209-025-01278-4

Determinantes de la deserción en la educación superior desde una perspectiva micro: un análisis de revisión bibliográfica aplicando el método PRISMA

Yuri Carolina Asprilla Trujillo, Higui Delgado Zarate, Rocío Escarling Durán Pérez, Cynthia Shakira Enríquez Fierro and José Luis Halanocca Tumi
ASCE MAGAZINE 5 (1) 1733 (2026)
https://doi.org/10.70577/asce.v5i1.665

Predicting Student Dropout Through Text and Media Content Analysis of VKontakte Profiles

Sergei S. Gorshkov, Dmitry I. Ignatov and Anastasia Yu. Chernysheva
IEEE Access 13 46732 (2025)
https://doi.org/10.1109/ACCESS.2025.3550817

Alternativas para la retención estudiantil en programas de posgrado como componente de una gestión organizacional exitosa: revisión de alcance

Lira Isis Valencia Quecano
European Public & Social Innovation Review 10 1 (2025)
https://doi.org/10.31637/epsir-2025-1438

Gestión organizacional en la retención de estudiantes en programas de posgrado: una revisión de alcance

Lira Isis Valencia Quecano
European Public & Social Innovation Review 9 1 (2024)
https://doi.org/10.31637/epsir-2024-1337

Dropout in postgraduate programs: a underexplored phenomenon – a scoping review

Lira Isis Valencia Quecano, Alfredo Guzmán Rincón and Sandra Barragán Moreno
Cogent Education 11 (1) (2024)
https://doi.org/10.1080/2331186X.2024.2326705

Predicting Student Dropout Rates Using Supervised Machine Learning: Insights from the 2022 National Education Accessibility Survey in Somaliland

Mukhtar Abdi Hassan, Abdisalam Hassan Muse and Saralees Nadarajah
Applied Sciences 14 (17) 7593 (2024)
https://doi.org/10.3390/app14177593

Enhancing tertiary students’ programming skills with an explainable Educational Data Mining approach

Md Rashedul Islam, Adiba Mahjabin Nitu, Md Abu Marjan, Md Palash Uddin, Masud Ibn Afjal, Md Abdulla Al Mamun and Zeyar Aung
PLOS ONE 19 (9) e0307536 (2024)
https://doi.org/10.1371/journal.pone.0307536

Kids Cybersecurity Using Computational Intelligence Techniques

Howida Abubaker Al-kaaf
Studies in Computational Intelligence, Kids Cybersecurity Using Computational Intelligence Techniques 1080 25 (2023)
https://doi.org/10.1007/978-3-031-21199-7_2

Predictive analytics study to determine undergraduate students at risk of dropout

Andres Gonzalez-Nucamendi, Julieta Noguez, Luis Neri, Víctor Robledo-Rella and Rosa María Guadalupe García-Castelán
Frontiers in Education 8 (2023)
https://doi.org/10.3389/feduc.2023.1244686

Comparative Analysis of Dropout and Student Permanence in Rural Higher Education

Alfredo Guzmán, Sandra Barragán and Favio Cala-Vitery
Sustainability 14 (14) 8871 (2022)
https://doi.org/10.3390/su14148871