research-article

Educational data mining application for improving the academic tutorial sessions, and the reduction of early dropout in undergraduate students

Authors:

Susana RomeroAuthors Info & Claims

TEEM'21: Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM'21)

Pages 212 - 218

https://doi.org/10.1145/3486011.3486449

Published: 20 December 2021 Publication History

Abstract

This paper is part of a research related to the application of educational data mining and processes derived from learning and academic analytics. The aim is to identify situations of early dropout risk in undergraduate students and to be able to act proactively through academic tutoring sessions. First-year university students must adapt to a new centre and new teaching methodologies, in numerous cases derived from situations such as the current global pandemic. Therefore, adapting to the new situation and the changes in their study habits that it implies are essential in order to successfully complete and successfully adjust to the course. This article carries out an analytical study of the probability of students dropping out based on various samples collected in the first semester in order to detect at an early stage those students who are likely to have difficulties in passing the course or who could drop out. To corroborate the results, they have been compared with the perception of the tutors of each of the students surveyed in order to be able to act proactively. A prediction was made from the relationship established between the variables studied of the percentage of newly enrolled students who will have no problems in their studies, those who will drop out in the first year and those who have a high probability of dropping out. Tutors will have to carry out an exhaustive monitoring of this entire segment through the application of motivation and support techniques that will enable them to redirect their choices.

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Cited By

Amo-Filva DEscudero DSanchez-Sepulveda MHasti HGarcía-Holgado AGarcía-Holgado LVerdugo-Castro SGarcía-Peñalvo FOrehovački TKrašna MPesek IMarchetti EValente AWitfelt CRužić IFraoua KMoreira FPereira CPaes CNikolic P(2024)Assessing and Promoting Data Fragility in Schools: Open Questionnaires for Auto-evaluation in Educational RolesProceedings of TEEM 202310.1007/978-981-97-1814-6_126(1285-1292)Online publication date: 5-Aug-2024
https://doi.org/10.1007/978-981-97-1814-6_126
Pérez-Navío EGavín-Chocano ÓCheca-Domene LPrieto M(2023)Relationship between Learning Strategies and Motivation of University StudentsSustainability10.3390/su1504349715:4(3497)Online publication date: 14-Feb-2023
https://doi.org/10.3390/su15043497

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Educational data mining application for improving the academic tutorial sessions, and the reduction of early dropout in undergraduate students

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cover image ACM Other conferences

TEEM'21: Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM'21)

October 2021

823 pages

ISBN:9781450390668

DOI:10.1145/3486011

Editors:
Marc Alier
Universitat Politècnica de Catalunya - BarcelonaTECH (UPC)
,
David Fonseca
La Salle, Ramon Llull University

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 20 December 2021

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VI Call of ACM (Aristos Campus Mundus) Research Projects?2020

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TEEM'21

TEEM'21: Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality

October 26 - 29, 2021

Barcelona, Spain

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Cited By

Amo-Filva DEscudero DSanchez-Sepulveda MHasti HGarcía-Holgado AGarcía-Holgado LVerdugo-Castro SGarcía-Peñalvo FOrehovački TKrašna MPesek IMarchetti EValente AWitfelt CRužić IFraoua KMoreira FPereira CPaes CNikolic P(2024)Assessing and Promoting Data Fragility in Schools: Open Questionnaires for Auto-evaluation in Educational RolesProceedings of TEEM 202310.1007/978-981-97-1814-6_126(1285-1292)Online publication date: 5-Aug-2024
https://doi.org/10.1007/978-981-97-1814-6_126
Pérez-Navío EGavín-Chocano ÓCheca-Domene LPrieto M(2023)Relationship between Learning Strategies and Motivation of University StudentsSustainability10.3390/su1504349715:4(3497)Online publication date: 14-Feb-2023
https://doi.org/10.3390/su15043497

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