Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/34318
Author(s): Lopes, A. L.
Mauritti, R
Martins, S. da C.
Pintassilgo, S.
Matias, C.
José, S.
Editor: Luis Gómez Chova
Chelo González Martínez
Joanna Lees
Date: 2024
Title: Digital tools for the prevention of dropout and academic failure: A case study of a Portuguese university
Book title/volume: EDULEARN24 Proceedings
Pages: 7092 - 7098
Event title: 16th International Conference on Education and New Learning Technologies
Reference: Lopes, A. L., Mauritti, R, Martins, S. da C., Pintassilgo, S., Matias, C., & José, S. (2024). Digital tools for the prevention of dropout and academic failure: A case study of a Portuguese university. In L. Gómez Chova, C. González Martínez, & J. Lees (Eds.), EDULEARN24 Proceedings (pp. 7092-7098). IATED Academy. https://doi.org/10.21125/edulearn.2024.1678
ISSN: 2340-1117
ISBN: 978-84-09-62938-1
DOI (Digital Object Identifier): 10.21125/edulearn.2024.1678
Keywords: Machine learning models
Alarm systems
Dropout
Higher education students
Abstract: Concern for the academic success of an increasingly diverse student body is receiving greater national and global attention in higher education. Given the increasing exigencies and evolving challenges that students now face, higher education institutions are called upon to develop multifaceted solutions that allow for the identification and prevention of academic pathways that may put their students at risk of failing or dropping out. This paper presents the results of a trial carried out at a Portuguese public university involving the development of digital tools, using machine learning models to help bolster efforts aimed at mitigating the risk of dropout and failure in higher education. From the outset, this trial has been built on interdisciplinary cooperation between specialists within the social sciences, information systems and information technology as well as between teachers, students, and various university departments (Educational Management, Social Action, Soft Skills Lab, Pedagogical Council, Computer Science, Information Systems and Quality Management). The creation of these tools is mainly based on the definition and implementation of an internal information system (Fenix) currently in the testing phase.
Peerreviewed: yes
Access type: Open Access
Appears in Collections:CIES-CRI - Comunicações a conferências internacionais
IT-CRI - Comunicações a conferências internacionais

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