Challenges and Opportunities in Integrating Artificial Intelligence in Distance Education

Authors

  • Alberto da Silva Franqueira Author
  • Anderson Amaro Author
  • Karla Verônica Silva Vale Author
  • Lucas Silva Dias Author
  • Rodrigo Rodrigues Pedra Author

DOI:

https://doi.org/10.51473/rcmos.v1i1.2024.480

Keywords:

Artificial Intelligence. Distance Education. Educational Innovation.

Abstract

This study, inspired by the research of Cardoso et al. (2023), who investigated the use of Artificial Intelligence (AI) in education, focuses on the insertion of AI in distance education as a promising front for educational innovation. The main objective is to identify and analyze the advantages, disadvantages and challenges faced in adopting AI in remote educational contexts. Through a comprehensive literature review and case study analysis, it is observed that AI has the potential to increase student engagement and provide more personalized and accessible learning experiences. The results highlight that AI can adapt teaching to the individual needs of students, offering personalization and adaptation capabilities that can significantly improve the effectiveness of distance learning. However, challenges persist, including the need to invest in robust technological infrastructure, adequately train faculty to effectively use AI-based tools, and consider ethical and privacy issues related to the use of student data. The findings highlight the importance of a collaborative and multidisciplinary approach to maximizing the benefits of AI in distance education. Furthermore, the need to overcome technological and ethical barriers to ensure effective and ethical integration of AI in the educational environment is emphasized. Therefore, this study significantly contributes to the understanding of how AI can be effectively applied in distance education, providing valuable insights for educators, researchers and professionals interested in promoting educational innovation through technology.

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Author Biographies

  • Alberto da Silva Franqueira

    https://lattes.cnpq.br/0164186683974511
    https://orcid.org/0009-0006-9431-436X

  • Anderson Amaro

    http://lattes.cnpq.br/7260842605100049
    https://orcid.org/0000-0003-3436-7671
    E-mail: anderson.avieira@escola.seduc.pa.gov.br

  • Karla Verônica Silva Vale

    https://lattes.cnpq.br/5393550194628860
    https://orcid.org/0000-0003-0806-7325
    E-mail: kvsvales@gmail.com

  • Lucas Silva Dias

    https://lattes.cnpq.br/5239407961471996
    E-mail: lucassilvadias161295@gmail.com

  • Rodrigo Rodrigues Pedra

    https://lattes.cnpq.br/8188850683669956
    E-mail: rodrigopedramsc@gmail.com

References

Aguiar, J., & Hermosilla, L. (2007). Aplicações da Inteligência Artificial na Educação. Revista Científica Eletrônica de Psicologia, 4(6), fev.

Alves, L. (2011). Educação a distância: conceitos e história no Brasil e no mundo. RBAAD, 10, 83-92.

Araújo, M. R. M., et al. (2016). Uso da inteligência artificial no ensino e aprendizagem: uma revisão integrativa. In Congresso Nacional de Pesquisa e Ensino em Ciências.

Assis, A. C. M. L. (2023). A inteligência artificial na educação: a utilização constitucionalmente adequada. In VIII Congresso Internacional de Direitos Humanos de Coimbra, 8(1), 12-22. https://www.trabalhoscidhcoimbra.com/ojs/index.php/anaiscidhcoimbra/article/view/3259

Boulay, B. (2023). Inteligência Artificial na Educação e Ética. RE@D - Revista de Educação a Distância e Elearning, 6(1), 75-91. https://repositorioaberto.uab.pt/handle/10400.2/14808

Cardoso, F. S., Pereira, N. S., Braggion, R. C., Chaves, P., & Andrioli, M. (2023). O uso da Inteligência Artificial na Educação e seus benefícios: Uma revisão exploratória e bibliográfica. Revista Ciência em Evidência, 4(FC), e023002. https://doi.org/10.47734/rce.v4iFC.2332

Published

2024-04-03

How to Cite

FRANQUEIRA , Alberto da Silva; ANDERSON AMARO; VALE, Karla Verônica Silva; DIAS, Lucas Silva; PEDRA, Rodrigo Rodrigues. Challenges and Opportunities in Integrating Artificial Intelligence in Distance Education. Multidisciplinary Scientific Journal The Knowledge, Brasil, v. 1, n. 1, 2024. DOI: 10.51473/rcmos.v1i1.2024.480. Disponível em: https://submissoesrevistacientificaosaber.com/index.php/rcmos/article/view/480.. Acesso em: 22 dec. 2024.

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