Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , |
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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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 |
dc.format.none.fl_str_mv |
11 application/pdf application/octet-stream |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138007595352064 |