Mathematics and Mother Tongue Academic Achievement

Bibliographic Details
Main Author: Nunes, Catarina
Publication Date: 2022
Other Authors: Beatriz-Afonso, Ana, Cruz-jesus, Frederico, Oliveira, Tiago, Castelli, Mauro
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/143711
Summary: Nunes, C., Beatriz-Afonso, A., Cruz-jesus, F., Oliveira, T., & Castelli, M. (2022). Mathematics and Mother Tongue Academic Achievement: A Machine Learning Approach. Emerging Science Journal, 6(Special Issue: Current Issues, Trends, and New Ideas in Education), 137-149. https://doi.org/10.28991/ESJ-2022-SIED-010 ----This study was funded by FCT – Fundação para a Ciência e Tecnologia (DSAIPA/DS/0032/2018). Acknowledgements: We also gratefully acknowledge financial support from FCT Fundação para a Ciência e a Tecnologia (Portugal), national funding through research grant Information Management Research Center – MagIC/NOVA IMS (UIDB/04152/2020).
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spelling Mathematics and Mother Tongue Academic AchievementA Machine Learning ApproachAcademic AchievementEducationAcademic AchievemenNetworksMachine LearningGeneralSDG 4 - Quality EducationSDG 8 - Decent Work and Economic GrowthSDG 10 - Reduced InequalitiesNunes, C., Beatriz-Afonso, A., Cruz-jesus, F., Oliveira, T., & Castelli, M. (2022). Mathematics and Mother Tongue Academic Achievement: A Machine Learning Approach. Emerging Science Journal, 6(Special Issue: Current Issues, Trends, and New Ideas in Education), 137-149. https://doi.org/10.28991/ESJ-2022-SIED-010 ----This study was funded by FCT – Fundação para a Ciência e Tecnologia (DSAIPA/DS/0032/2018). Acknowledgements: We also gratefully acknowledge financial support from FCT Fundação para a Ciência e a Tecnologia (Portugal), national funding through research grant Information Management Research Center – MagIC/NOVA IMS (UIDB/04152/2020).Academic achievement is of great interest to education researchers and practitioners. Several academic achievement determinants have been described in the literature, mostly identified by analyzing primary (sample) data with classic statistical methods. Despite their superiority, only recently have machine learning methods started to be applied systematically in this context. However, even when this is the case, the ability to draw conclusions is greatly hampered by the "black-box" effect these methods entail. We contribute to the literature by combining the efficiency of machine learning methods, trained with data from virtually every public upper-secondary student of a European country, with the ability to quantify exactly how much each driver impacts academic achievement on Mathematics and mother tongue, through the use of prototypes. Our results indicate that the most important general academic achievement inhibitor is the previous retainment. Legal guardian's education is a critical driver, especially in Mathematics; whereas gender is especially important for mother tongue, as female students perform better. Implications for research and practice are presented.Information Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNNunes, CatarinaBeatriz-Afonso, AnaCruz-jesus, FredericoOliveira, TiagoCastelli, Mauro2022-09-13T22:47:37Z2022-09-102022-09-10T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article13application/pdfhttp://hdl.handle.net/10362/143711eng2610-9182PURE: 46517955https://doi.org/10.28991/ESJ-2022-SIED-010info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-11-18T01:40:45Zoai:run.unl.pt:10362/143711Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:35:41.905599Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Mathematics and Mother Tongue Academic Achievement
A Machine Learning Approach
title Mathematics and Mother Tongue Academic Achievement
spellingShingle Mathematics and Mother Tongue Academic Achievement
Nunes, Catarina
Academic Achievement
Education
Academic Achievemen
Networks
Machine Learning
General
SDG 4 - Quality Education
SDG 8 - Decent Work and Economic Growth
SDG 10 - Reduced Inequalities
title_short Mathematics and Mother Tongue Academic Achievement
title_full Mathematics and Mother Tongue Academic Achievement
title_fullStr Mathematics and Mother Tongue Academic Achievement
title_full_unstemmed Mathematics and Mother Tongue Academic Achievement
title_sort Mathematics and Mother Tongue Academic Achievement
author Nunes, Catarina
author_facet Nunes, Catarina
Beatriz-Afonso, Ana
Cruz-jesus, Frederico
Oliveira, Tiago
Castelli, Mauro
author_role author
author2 Beatriz-Afonso, Ana
Cruz-jesus, Frederico
Oliveira, Tiago
Castelli, Mauro
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Information Management Research Center (MagIC) - NOVA Information Management School
NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv Nunes, Catarina
Beatriz-Afonso, Ana
Cruz-jesus, Frederico
Oliveira, Tiago
Castelli, Mauro
dc.subject.por.fl_str_mv Academic Achievement
Education
Academic Achievemen
Networks
Machine Learning
General
SDG 4 - Quality Education
SDG 8 - Decent Work and Economic Growth
SDG 10 - Reduced Inequalities
topic Academic Achievement
Education
Academic Achievemen
Networks
Machine Learning
General
SDG 4 - Quality Education
SDG 8 - Decent Work and Economic Growth
SDG 10 - Reduced Inequalities
description Nunes, C., Beatriz-Afonso, A., Cruz-jesus, F., Oliveira, T., & Castelli, M. (2022). Mathematics and Mother Tongue Academic Achievement: A Machine Learning Approach. Emerging Science Journal, 6(Special Issue: Current Issues, Trends, and New Ideas in Education), 137-149. https://doi.org/10.28991/ESJ-2022-SIED-010 ----This study was funded by FCT – Fundação para a Ciência e Tecnologia (DSAIPA/DS/0032/2018). Acknowledgements: We also gratefully acknowledge financial support from FCT Fundação para a Ciência e a Tecnologia (Portugal), national funding through research grant Information Management Research Center – MagIC/NOVA IMS (UIDB/04152/2020).
publishDate 2022
dc.date.none.fl_str_mv 2022-09-13T22:47:37Z
2022-09-10
2022-09-10T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/143711
url http://hdl.handle.net/10362/143711
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2610-9182
PURE: 46517955
https://doi.org/10.28991/ESJ-2022-SIED-010
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 13
application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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