Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/99425
Título: Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country
Autor: Cruz-Jesus, Frederico
Castelli, Mauro
Oliveira, Tiago
Mendes, Ricardo
Nunes, Catarina
Sa-Velho, Mafalda
Rosa-Louro, Ana
Palavras-chave: 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
Data: Jun-2020
Resumo: Understanding 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.
Descrição: 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
Peer review: yes
URI: http://hdl.handle.net/10362/99425
DOI: https://doi.org/10.1016/j.heliyon.2020.e04081
ISSN: 2405-8440
Aparece nas colecções:NIMS: MagIC - Artigos em revista internacional com arbitragem científica (Peer-Review articles in international journals)

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
Using_artificial_intelligence_methods_assess_academic_achievement.pdf670,6 kBAdobe PDFVer/Abrir
Appendix_A._Supplementary_data.docx43,94 kBUnknownVer/Abrir


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.