Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country

Detalhes bibliográficos
Autor(a) principal: Cruz-Jesus, Frederico
Data de Publicação: 2020
Outros Autores: Castelli, Mauro, Oliveira, Tiago, Mendes, Ricardo, Nunes, Catarina, Sa-Velho, Mafalda, Rosa-Louro, Ana
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/99425
Resumo: Cruz-Jesus, F., Castelli, M., Oliveira, T., Mendes, R., Nunes, C., Sa-Velho, M., & Rosa-Louro, A. (2020). Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country. Heliyon, 6(6), [e04081]. https://doi.org/10.1016/j.heliyon.2020.e04081
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spelling Using artificial intelligence methods to assess academic achievement in public high schools of a European Union countryAchievementApplied computingArtificial intelligenceData analysisData scienceEducationEducation reformEvaluation in educationInformation systemsQuantitative researchTeaching researchGeneralSDG 4 - Quality EducationSDG 8 - Decent Work and Economic GrowthCruz-Jesus, F., Castelli, M., Oliveira, T., Mendes, R., Nunes, C., Sa-Velho, M., & Rosa-Louro, A. (2020). Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country. Heliyon, 6(6), [e04081]. https://doi.org/10.1016/j.heliyon.2020.e04081Understanding academic achievement (AA) is one of the most global challenges, as there is evidence that it is deeply intertwined with economic development, employment, and countries’ wellbeing. However, the research conducted on this topic grounds in traditional (statistical) methods employed in survey (sample) data. This paper presents a novel approach, using state-of-the-art artificial intelligence (AI) techniques to predict the academic achievement of virtually every public high school student in Portugal, i.e., 110,627 students in the academic year of 2014/2015. Different AI and non-AI methods are developed and compared in terms of performance. Moreover, important insights to policymakers are addressed.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNCruz-Jesus, FredericoCastelli, MauroOliveira, TiagoMendes, RicardoNunes, CatarinaSa-Velho, MafaldaRosa-Louro, Ana2020-06-15T22:52:21Z2020-062020-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article11application/pdfapplication/octet-streamhttp://hdl.handle.net/10362/99425eng2405-8440PURE: 18598469https://doi.org/10.1016/j.heliyon.2020.e04081info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:46:21Zoai:run.unl.pt:10362/99425Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:39:10.719193Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country
title Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country
spellingShingle Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country
Cruz-Jesus, Frederico
Achievement
Applied computing
Artificial intelligence
Data analysis
Data science
Education
Education reform
Evaluation in education
Information systems
Quantitative research
Teaching research
General
SDG 4 - Quality Education
SDG 8 - Decent Work and Economic Growth
title_short Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country
title_full Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country
title_fullStr Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country
title_full_unstemmed Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country
title_sort Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country
author Cruz-Jesus, Frederico
author_facet Cruz-Jesus, Frederico
Castelli, Mauro
Oliveira, Tiago
Mendes, Ricardo
Nunes, Catarina
Sa-Velho, Mafalda
Rosa-Louro, Ana
author_role author
author2 Castelli, Mauro
Oliveira, Tiago
Mendes, Ricardo
Nunes, Catarina
Sa-Velho, Mafalda
Rosa-Louro, Ana
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Cruz-Jesus, Frederico
Castelli, Mauro
Oliveira, Tiago
Mendes, Ricardo
Nunes, Catarina
Sa-Velho, Mafalda
Rosa-Louro, Ana
dc.subject.por.fl_str_mv Achievement
Applied computing
Artificial intelligence
Data analysis
Data science
Education
Education reform
Evaluation in education
Information systems
Quantitative research
Teaching research
General
SDG 4 - Quality Education
SDG 8 - Decent Work and Economic Growth
topic Achievement
Applied computing
Artificial intelligence
Data analysis
Data science
Education
Education reform
Evaluation in education
Information systems
Quantitative research
Teaching research
General
SDG 4 - Quality Education
SDG 8 - Decent Work and Economic Growth
description Cruz-Jesus, F., Castelli, M., Oliveira, T., Mendes, R., Nunes, C., Sa-Velho, M., & Rosa-Louro, A. (2020). Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country. Heliyon, 6(6), [e04081]. https://doi.org/10.1016/j.heliyon.2020.e04081
publishDate 2020
dc.date.none.fl_str_mv 2020-06-15T22:52:21Z
2020-06
2020-06-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/99425
url http://hdl.handle.net/10362/99425
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2405-8440
PURE: 18598469
https://doi.org/10.1016/j.heliyon.2020.e04081
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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