University student retention: Best time and data to identify undergraduate students at risk of dropout-Reference-Cited by-同舟云学术

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University student retention: Best time and data to identify undergraduate students at risk of dropout

Published:2018-08-09 Issue: Volume: Page:1-12
ISSN:1470-3297
Container-title:Innovations in Education and Teaching International
language:en
Short-container-title:Innovations in Education and Teaching International

Author:

Ortiz-Lozano José María¹^ORCID,Rua-Vieites Antonio²^ORCID,Bilbao-Calabuig Paloma³^ORCID,Casadesús-Fa Martí⁴^ORCID

Affiliation:

1. Faculty of Economics and Business Administration, Universidad Pontificia Comillas, Madrid, Spain

2. Department of Quantitative Methods, Faculty of Economics and Business Administration, Universidad Pontificia Comillas, Madrid, Spain

3. Department of Management, Faculty of Economics and Business Administration, Universidad Pontificia Comillas, Madrid, Spain

4. Department of Business Management and Product Development, Universitat de Girona, Girona, Spain

Publisher

Informa UK Limited

Subject

Education

Link

https://www.tandfonline.com/doi/pdf/10.1080/14703297.2018.1502090

Reference46 articles.

1. Retention in higher education: A selective resource guide

2. Parental background and university dropout in Italy

3. Higher Education Drop-Out in Spain—Particular Case of Universities in Galicia

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1. Modeling the time to dropout under phase-wise variable stress fixed cohort setup;Journal of Applied Statistics;2024-08-19

2. Trayectorias académicas: el papel del compromiso como mediador en la decisión de abandono o permanencia universitaria;Revista de Psicodidáctica;2024-07

3. Academic pathways: The role of engagement as a mediator in the decision to drop out or stay at university;Revista de Psicodidáctica (English ed.);2024-07

4. UM ESTUDO COMPARATIVO DA LITERATURA SOBRE EVASÃO NO ENSINO SUPERIOR ANTES, DURANTE E APÓS A PANDEMIA DE COVID;Revista Contemporânea;2024-04-29

5. Predicting Academic Success of College Students Using Machine Learning Techniques;Data;2024-04-22

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