Neurodidactic factors in the prediction of academic dropout in Andalusian university students: preventive actions based on ICT
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Texto livre |
Texto Completo: | https://periodicos.ufmg.br/index.php/textolivre/article/view/40502 |
Resumo: | Persistence and dropout are two sides of the same coin. Together with personal and social factors, associated with the quality of teaching provided by universities determine students' ability to persist in achieving their academic degree or, on the contrary, to drop out of university studies. Our working hypothesis is that the impact on improving the quality of teaching by considering neurodidactic factors, which are currently being researched and experimented with, can improve the overall persistence rate by reducing the dropout rate. In this preliminary study, we intend to make a first approach to the phenomenon of academic failure in Andalusian universities from the prediction and diagnosis of risk groups and the recommendation of preventive measures. Among the measures we proposed for prevention, we highligh those that have an impact on neurodidactic factors. Our work consisted of applying an instrument to diagnose the risk of dropping out of university studies to a sample of first-year university students in Andalusian universities. The instrument was applied at the beginning of the second semester. Out of the 976 students surveyed, we have established a risk group of 34 students. We will propose measures oriented towards the neurodidactics factors that predict dropout and call for the use of ICT in the implementation of preventive measures. |
id |
UFMG-9_49e97216e73433e4187b1fab7ea1202a |
---|---|
oai_identifier_str |
oai:periodicos.ufmg.br:article/40502 |
network_acronym_str |
UFMG-9 |
network_name_str |
Texto livre |
repository_id_str |
|
spelling |
Neurodidactic factors in the prediction of academic dropout in Andalusian university students: preventive actions based on ICTFatores neurodidáticos na previsão de abandono acadêmico em estudantes universitários andaluzes: ações preventivas baseadas em TICNeurociênciaAbandono de alunosTICAções preventivasNeurodidáticaNeuroscienceStudent dropoutICTPreventive actionsNeurodidacticsPersistence and dropout are two sides of the same coin. Together with personal and social factors, associated with the quality of teaching provided by universities determine students' ability to persist in achieving their academic degree or, on the contrary, to drop out of university studies. Our working hypothesis is that the impact on improving the quality of teaching by considering neurodidactic factors, which are currently being researched and experimented with, can improve the overall persistence rate by reducing the dropout rate. In this preliminary study, we intend to make a first approach to the phenomenon of academic failure in Andalusian universities from the prediction and diagnosis of risk groups and the recommendation of preventive measures. Among the measures we proposed for prevention, we highligh those that have an impact on neurodidactic factors. Our work consisted of applying an instrument to diagnose the risk of dropping out of university studies to a sample of first-year university students in Andalusian universities. The instrument was applied at the beginning of the second semester. Out of the 976 students surveyed, we have established a risk group of 34 students. We will propose measures oriented towards the neurodidactics factors that predict dropout and call for the use of ICT in the implementation of preventive measures.Persistência e desistência são dois lados da mesma moeda. Juntamente com fatores pessoais e sociais, associados à qualidade do ensino fornecido pelas universidades, determinam a capacidade dos estudantes de persistir na obtenção de seu diploma acadêmico ou, ao contrário, de abandonar os estudos universitários. Nossa hipótese de trabalho é que o impacto na melhoria da qualidade do ensino, considerando fatores neurodidáticos, que estão sendo pesquisados e experimentados atualmente, pode melhorar a taxa geral de persistência, reduzindo a taxa de abandono escolar. Neste estudo preliminar, fazemos uma primeira abordagem do fenômeno do fracasso acadêmico nas universidades andaluzas a partir da previsão e diagnóstico dos grupos de risco e da recomendação de medidas preventivas. Entre as medidas propostas para a prevenção, destacamos aquelas que têm impacto sobre os fatores neurodidáticos. Nosso trabalho consistiu em aplicar um instrumento para diagnosticar o risco de abandonar os estudos universitários a uma amostra de estudantes universitários do primeiro ano nas universidades andaluzas. O instrumento foi aplicado no início do segundo semestre. Dos 976 estudantes pesquisados, estabelecemos um grupo de risco de 34 estudantes. Propomos medidas orientadas para os fatores neurodidáticos que preveem a evasão escolar e que exigem o uso das TIC na implementação de medidas preventivas.Universidade Federal de Minas Gerais2022-09-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufmg.br/index.php/textolivre/article/view/4050210.35699/1983-3652.2022.40502Texto Livre; Vol. 15 (2022): Texto Livre: Linguagem e Tecnologia ; e40502Texto Livre; Vol. 15 (2022): Texto Livre: Linguagem e Tecnologia ; e40502Texto Livre; Vol. 15 (2022): Texto Livre: Linguagem e Tecnologia ; e40502Texto Livre; v. 15 (2022): Texto Livre: Linguagem e Tecnologia ; e405021983-3652reponame:Texto livreinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGenghttps://periodicos.ufmg.br/index.php/textolivre/article/view/40502/31509Copyright (c) 2022 Daniel Álvarez Ferrándiz, María Arias Corona, Esther González Castellón, Manuel Fernández Cruzhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessÁlvarez Ferrándiz, DanielArias Corona, MaríaGonzález Castellón, EstherFernández Cruz, Manuel2022-12-30T15:03:20Zoai:periodicos.ufmg.br:article/40502Revistahttp://www.periodicos.letras.ufmg.br/index.php/textolivrePUBhttps://periodicos.ufmg.br/index.php/textolivre/oairevistatextolivre@letras.ufmg.br1983-36521983-3652opendoar:2022-12-30T15:03:20Texto livre - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.none.fl_str_mv |
Neurodidactic factors in the prediction of academic dropout in Andalusian university students: preventive actions based on ICT Fatores neurodidáticos na previsão de abandono acadêmico em estudantes universitários andaluzes: ações preventivas baseadas em TIC |
title |
Neurodidactic factors in the prediction of academic dropout in Andalusian university students: preventive actions based on ICT |
spellingShingle |
Neurodidactic factors in the prediction of academic dropout in Andalusian university students: preventive actions based on ICT Álvarez Ferrándiz, Daniel Neurociência Abandono de alunos TIC Ações preventivas Neurodidática Neuroscience Student dropout ICT Preventive actions Neurodidactics |
title_short |
Neurodidactic factors in the prediction of academic dropout in Andalusian university students: preventive actions based on ICT |
title_full |
Neurodidactic factors in the prediction of academic dropout in Andalusian university students: preventive actions based on ICT |
title_fullStr |
Neurodidactic factors in the prediction of academic dropout in Andalusian university students: preventive actions based on ICT |
title_full_unstemmed |
Neurodidactic factors in the prediction of academic dropout in Andalusian university students: preventive actions based on ICT |
title_sort |
Neurodidactic factors in the prediction of academic dropout in Andalusian university students: preventive actions based on ICT |
author |
Álvarez Ferrándiz, Daniel |
author_facet |
Álvarez Ferrándiz, Daniel Arias Corona, María González Castellón, Esther Fernández Cruz, Manuel |
author_role |
author |
author2 |
Arias Corona, María González Castellón, Esther Fernández Cruz, Manuel |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Álvarez Ferrándiz, Daniel Arias Corona, María González Castellón, Esther Fernández Cruz, Manuel |
dc.subject.por.fl_str_mv |
Neurociência Abandono de alunos TIC Ações preventivas Neurodidática Neuroscience Student dropout ICT Preventive actions Neurodidactics |
topic |
Neurociência Abandono de alunos TIC Ações preventivas Neurodidática Neuroscience Student dropout ICT Preventive actions Neurodidactics |
description |
Persistence and dropout are two sides of the same coin. Together with personal and social factors, associated with the quality of teaching provided by universities determine students' ability to persist in achieving their academic degree or, on the contrary, to drop out of university studies. Our working hypothesis is that the impact on improving the quality of teaching by considering neurodidactic factors, which are currently being researched and experimented with, can improve the overall persistence rate by reducing the dropout rate. In this preliminary study, we intend to make a first approach to the phenomenon of academic failure in Andalusian universities from the prediction and diagnosis of risk groups and the recommendation of preventive measures. Among the measures we proposed for prevention, we highligh those that have an impact on neurodidactic factors. Our work consisted of applying an instrument to diagnose the risk of dropping out of university studies to a sample of first-year university students in Andalusian universities. The instrument was applied at the beginning of the second semester. Out of the 976 students surveyed, we have established a risk group of 34 students. We will propose measures oriented towards the neurodidactics factors that predict dropout and call for the use of ICT in the implementation of preventive measures. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-09-29 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufmg.br/index.php/textolivre/article/view/40502 10.35699/1983-3652.2022.40502 |
url |
https://periodicos.ufmg.br/index.php/textolivre/article/view/40502 |
identifier_str_mv |
10.35699/1983-3652.2022.40502 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.ufmg.br/index.php/textolivre/article/view/40502/31509 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
dc.source.none.fl_str_mv |
Texto Livre; Vol. 15 (2022): Texto Livre: Linguagem e Tecnologia ; e40502 Texto Livre; Vol. 15 (2022): Texto Livre: Linguagem e Tecnologia ; e40502 Texto Livre; Vol. 15 (2022): Texto Livre: Linguagem e Tecnologia ; e40502 Texto Livre; v. 15 (2022): Texto Livre: Linguagem e Tecnologia ; e40502 1983-3652 reponame:Texto livre instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
instname_str |
Universidade Federal de Minas Gerais (UFMG) |
instacron_str |
UFMG |
institution |
UFMG |
reponame_str |
Texto livre |
collection |
Texto livre |
repository.name.fl_str_mv |
Texto livre - Universidade Federal de Minas Gerais (UFMG) |
repository.mail.fl_str_mv |
revistatextolivre@letras.ufmg.br |
_version_ |
1799711143908868096 |