Empowering Distance Education with Artificial Intelligence
DOI:
https://doi.org/10.51473/rcmos.v1i1.2024.481Keywords:
Artificial Intelligence. Distance education. Meaningful learning. Educational challenges. Technology in education.Abstract
This article investigated the integration of Artificial Intelligence (AI) in the context of Distance Education (DE), with the aim of exploring its advantages, disadvantages, and the challenges faced by teachers and students. The research focused on how AI can be employed to promote meaningful learning, using a bibliographic research methodology, as proposed by Severino (2007). This approach involved the critical analysis of existing literature, including relevant case studies and theories pertinent to the use of AI in education. The main authors cited were Castro (2002) and Tavares, Meira, and Amaral (2020), whose works provided insights on the application of Intelligent Tutoring Systems (ITS) and other AI technologies in education. The literature review highlighted the potential of AI to personalize the learning experience and the associated challenges, such as the need for adequate infrastructure, digital skills, and ethical considerations. A case study from Georgia State University illustrated a successful practical application of AI to prevent student dropout, offering a model for future implementations in DE. The analysis showed that, despite obstacles, the integration of AI in DE has the potential to positively transform education, offering opportunities for more adaptive and personalized learning. In conclusion, the article emphasized the importance of addressing technical, ethical, and pedagogical challenges in adopting AI in education, highlighting the need for careful strategies that ensure the effectiveness and inclusivity of technological interventions in DE.
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References
Castro, A. P. (2002). Uma Ferramenta para auxiliar o professor no ensino a distância. [Dissertação de mestrado]. p.28. Universidade Federal do Rio Grande do Sul, Porto Alegre,
Brasil. Disponível em http://hdl.handle.net/10183/3670. Acessado em 29 de fevereiro de 2024.
MJV Team. (2023, 16 de agosto). Inteligência Artificial na educação: aplicações e benefícios. Disponível em https://www.mjvinnovation.com/pt-br/blog/inteligencia-artificial-na-educacao/. Acessado em 29 de fevereiro de 2024.
Santos, B. L., & Arruda, E. P. (2019). Dimensões da Inteligência Artificial no contexto da educação contemporânea. Educação Unisinos, 23(4), 725-741. Disponível em https://doi.org/10.4013/edu.2019.234.08. Acessado em 29 de fevereiro de 2024.
Severino, A. J. (2007). Metodologia do Trabalho Científico. São Paulo, SP: Cortez.
Tavares, L. A., Meira, M. C., & Amaral, S. F. do. (2020). Inteligência Artificial na Educação: Survey [Artificial Intelligence in Education: Survey]. Brazilian Journal of Development, 6(7), pp. 48699-48714. Disponível em: https://doi.org/10.34117/bjdv6n7-496. Acessado em 29 de fevereiro de 2024.
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Copyright (c) 2024 Anderson Amaro Vieira, Ítalo Martins Lôbo, Lorena dos Santos Mulatti, Rodrigo Rodrigues Pedra, Rodrigo Vieira Ribeiro (Autor/in)
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