DESENVOLVIMENTO DE SISTEMAS INTELIGENTES PARA A AVALIAÇÃO AUTOMÁTICA DOS RESULTADOS ACADÊMICOS DOS ESTUDANTES

Autores

  • Yury Zavalevskyi Doctor of Pedagogical Sciences, Professor, First deputy of DNU «Institute of Modernization of the Content of Education» Kyiv, Ukraine https://orcid.org/0000-0003-1904-6642
  • Svitlana Kyrilenko PhD in Pedagogy, Head of the Department of Innovation, Research and Experimental Work State Scientific Institution «Institute of Education Content Modernization», Kyiv, Ukraine https://orcid.org/0000-0002-2701-1303
  • Olga Kijan PhD in Pedagogy, Head of the Sector of Experimental Pedagogy, Department of Innovation Activity and Experimental Work, State Scientific Institution «Institute of Education Content Modernization», Kyiv, Ukraine https://orcid.org/0000-0002-0482-8898
  • Nataliya Bessarab PhD in Pedagogy, Researcher of the Pedagogical Innovations and Author’s Sector of the Department of Innovation, Research and Experimental Work State Scientific Institution «Institute of Education Content Modernization», Kyiv, Ukraine, https://orcid.org/0000-0001-7930-2404
  • Svitlana Boiko PhD in Philosophy, Senior Researcher, Head of the Original Pedagogical Novelty Sector, Department of Innovation Activity, Research and Experimental Work, State Scientific Institution «Institute of Education Content Modernization» https://orcid.org/0000-0002-4999-4603

DOI:

https://doi.org/10.18316/rcd.v16i41.11437

Palavras-chave:

inteligência artificial, participantes no processo educativo, automatização, objetividade, problemas

Resumo

Objectivos: analisar o desenvolvimento de sistemas de inteligência artificial para a avaliação automática dos resultados de aprendizagem dos alunos. Metodologia: para atingir este objetivo, foram utilizados os métodos científicos de análise e síntese, análise de conteúdo, análise SWOT, comparação e tipologia. Resultados: foi estabelecido que, entre as principais vantagens, se encontra um aumento significativo da objetividade da avaliação dos conhecimentos e competências dos alunos. É importante ter em conta a aceleração do processo de verificação dos resultados, o que poupa tempo e esforço aos professores. Outra vantagem importante é o fornecimento de feedback em tempo real durante a avaliação. Novidade científica: Foi estabelecido que um dos principais problemas é a possibilidade de parcialidade e desigualdade no sistema educativo. Dado que os sistemas inteligentes se baseiam em determinados algoritmos, qualquer enviesamento ou informação falsa nos dados iniciais pode conduzir a resultados tendenciosos. Outros desafios incluem a excessiva mecanização do processo de avaliação, que nem sempre tem em conta as características individuais de cada aluno, bem como a garantia de uma proteção adequada dos dados pessoais. Conclusões: Os sistemas inteligentes de avaliação dos alunos são uma ferramenta poderosa para combater os esquemas de corrupção no sistema educativo, especialmente nos países em desenvolvimento.

Biografia do Autor

Yury Zavalevskyi, Doctor of Pedagogical Sciences, Professor, First deputy of DNU «Institute of Modernization of the Content of Education» Kyiv, Ukraine

Doctor of Pedagogical Sciences, Professor, First deputy of DNU «Institute of Modernization of the Content of Education» Kyiv, Ukraine

Svitlana Kyrilenko, PhD in Pedagogy, Head of the Department of Innovation, Research and Experimental Work State Scientific Institution «Institute of Education Content Modernization», Kyiv, Ukraine

PhD in Pedagogy, Head of the Department of Innovation, Research and Experimental Work State Scientific Institution «Institute of Education Content Modernization», Kyiv, Ukraine

Olga Kijan, PhD in Pedagogy, Head of the Sector of Experimental Pedagogy, Department of Innovation Activity and Experimental Work, State Scientific Institution «Institute of Education Content Modernization», Kyiv, Ukraine

PhD in Pedagogy, Head of the Sector of Experimental Pedagogy, Department of Innovation Activity and Experimental Work, State Scientific Institution «Institute of Education Content Modernization», Kyiv, Ukraine

Nataliya Bessarab, PhD in Pedagogy, Researcher of the Pedagogical Innovations and Author’s Sector of the Department of Innovation, Research and Experimental Work State Scientific Institution «Institute of Education Content Modernization», Kyiv, Ukraine,

PhD in Pedagogy, Researcher of the Pedagogical Innovations and Author’s Sector of the Department of Innovation, Research and Experimental Work State Scientific Institution «Institute of Education Content Modernization», Kyiv, Ukraine,

Svitlana Boiko, PhD in Philosophy, Senior Researcher, Head of the Original Pedagogical Novelty Sector, Department of Innovation Activity, Research and Experimental Work, State Scientific Institution «Institute of Education Content Modernization»

PhD in Philosophy, Senior Researcher, Head of the Original Pedagogical Novelty Sector, Department of Innovation Activity, Research and Experimental Work, State Scientific Institution «Institute of Education Content Modernization»

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Publicado

2024-02-07

Edição

v. 16 n. 41 (2024)

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Artigos

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Copyright (c) 2024 Yury Zavalevskyi, Svitlana Kyrilenko, Olga Kijan, Nataliya Bessarab, Svitlana Boiko

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