ARTIFICIAL INTELLIGENCE IN ACADEMIC PERFORMANCE ASSESSMENT: CHALLENGES AND OPPORTUNITIES IN HIGH SCHOOL

Authors

  • Allysson Barbosa Fernandes Miami University of Science and Technology
  • Rodi Narciso Miami University of Science and Technology
  • Christiane Diniz Guimarães Miami University of Science and Technology
  • Cláudio Gonçalves de Mattos Miami University of Science and Technology
  • Itamar Ernandes Universidade Cidade de São Paulo
  • Izaías Nunes de Lima Junior Miami University of Science and Technology
  • João Carlos Bertolazzi Miami University of Science and Technology
  • Sheila Costa Silva Pareschi Miami University of Science and Technology
  • Silene de Freitas Oliveira Polari Miami University of Science and Technology
  • Tatiana Petúlia Araújo da Silva Miami University of Science and Technology

DOI:

https://doi.org/10.51891/rease.v10i3.13059

Keywords:

Artificial intelligence. Educational Assessment. Ethic. High school. Personalization of Education.

Abstract

This work addressed the role of artificial intelligence (AI) in assessing academic performance in high school, highlighting the benefits and ethical challenges involved. The central problem investigated was how AI can be integrated into the educational assessment process to improve student learning and performance, while maintaining ethics in the use of data and algorithms. The methodology adopted consisted of a bibliographical review of previous studies, analyzing the applicability, effectiveness and ethical implications of AI in education. The results indicated that AI-based systems, such as Markovian-Bayesian models and adaptive learning platforms, offer significant opportunities to personalize teaching, although they present challenges related to data privacy and algorithmic bias. Final considerations highlighted the need for effective strategies to ensure ethical practices in the implementation of AI, emphasizing the importance of training educators and developing regulatory frameworks.

Author Biographies

Allysson Barbosa Fernandes, Miami University of Science and Technology

Mestrando em Tecnologias Emergentes em Educação pela Miami University of Science and Technology (MUST). 

Rodi Narciso, Miami University of Science and Technology

Mestra em Tecnologias Emergentes em Educação pela Miami University of Science and Technology (MUST). 

Christiane Diniz Guimarães, Miami University of Science and Technology

Mestranda em Tecnologias Emergentes em Educação pela Miami University of Science and Technology (MUST). 

Cláudio Gonçalves de Mattos, Miami University of Science and Technology

Mestrando em Tecnologias Emergentes em Educação pela Miami University of Science and Technology (MUST). 

Itamar Ernandes, Universidade Cidade de São Paulo

Mestrando em Educação pela Universidade Cidade de São Paulo (UNICID). 

Izaías Nunes de Lima Junior, Miami University of Science and Technology

Mestre em Tecnologias Emergentes em Educação pela Miami University of Science and Technology (MUST). 

João Carlos Bertolazzi, Miami University of Science and Technology

Mestrando em Tecnologias Emergentes em Educação pela Miami University of Science and Technology (MUST).

Sheila Costa Silva Pareschi, Miami University of Science and Technology

Mestra em Tecnologias Emergentes em Educação pela Miami University of Science and Technology (MUST). 

Silene de Freitas Oliveira Polari, Miami University of Science and Technology

Mestranda em Tecnologias Emergentes em Educação pela Miami University of Science and Technology (MUST). 

Tatiana Petúlia Araújo da Silva, Miami University of Science and Technology

Mestranda em Tecnologias Emergentes em Educação pela Miami University of Science and Technology (MUST).

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Published

2024-03-04

How to Cite

Fernandes, A. B., Narciso, R., Guimarães, C. D., Mattos, C. G. de, Ernandes, I., Lima Junior, I. N. de, … Silva, T. P. A. da. (2024). ARTIFICIAL INTELLIGENCE IN ACADEMIC PERFORMANCE ASSESSMENT: CHALLENGES AND OPPORTUNITIES IN HIGH SCHOOL. Revista Ibero-Americana De Humanidades, Ciências E Educação, 10(3), 180–196. https://doi.org/10.51891/rease.v10i3.13059

Issue

Vol. 10 No. 3 (2024): Revista Ibero-Americana de Humanidades, Ciências e Educação- REASE

Section

Artigos

Categories

License

Atribuição CC BY