Predicting student dropouts with machine learning: An empirical study in Finnish higher education-Reference-Cited by-同舟云学术

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Predicting student dropouts with machine learning: An empirical study in Finnish higher education

Published:2024-03 Issue: Volume:76 Page:102474
ISSN:0160-791X
Container-title:Technology in Society
language:en
Short-container-title:Technology in Society

Author:

Vaarma Matti^ORCID,Li Hongxiu

Publisher

Elsevier BV

Reference60 articles.

1. Dropout from higher education: a theoretical synthesis of recent research;Tinto;Rev. Educ. Res.,1975

2. Research and practice of student retention: what next?;Tinto;J. Coll. Stud. Retent: Res. Theory Pract.,2006

3. The Condition of Education 2019. 144;McFarland,2019

4. Bachelor's degree student dropouts: who tend to stay and who tend to leave?;Berka;Stud. Educ. Eval.,2021

5. A comparative analysis of machine learning techniques for student retention management;Delen;Decis. Support Syst.,2010

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1. Artificial Intelligence Technologies and their Role in Developing Education in Higher Education Institutions; an Analytical Study;Journal of the Arabian Peninsula Center for Educational and Humanity Researches;2024-03-30

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