Bachelor’s degree student dropouts: Who tend to stay and who tend to leave?

Author:

Berka PetrORCID,Marek Luboš

Publisher

Elsevier BV

Subject

Education

Reference25 articles.

1. Data mining in higher education: University student dropout case study;Abu-Oda;International Journal of Data Mining & Knowledge Management Process,2015

2. Mining associations between sets of items in massive databases;Agrawal,1993

3. A comprehensive review of the major studies and theoretical models of student retention in higher education;Aljohani;Higher Education Studies,2016

4. Mining university registrar records to predict first-year undergraduate attrition;Aulck;Proc. 12th Int. Conf. on Educational Data Mining,2019

5. Modeling Students Dropout Using Statistical and Data Mining Methods;Berka;Proc. 22th. Conf. Applications of Mathematics and Statistics in Economics,2019

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1. Educational Data Mining for Dropout Prediction: Trends, Opportunities, and Challenges;Revista Brasileira de Informática na Educação;2024-05-20

2. Fluxos informacionais em políticas de assistência estudantil;RDBCI: Revista Digital de Biblioteconomia e Ciência da Informação;2024-03-08

3. Predicting student dropouts with machine learning: An empirical study in Finnish higher education;Technology in Society;2024-03

4. Investigating the Predictive Potential of Large Language Models in Student Dropout Prediction;Lecture Notes in Computer Science;2024

5. Participation in Bridging Courses and Dropouts among Cooperative Education Students in Engineering;International Journal of Education in Mathematics, Science and Technology;2023-11-23

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