The use of artificial intelligence in the educational context
what is missing?
DOI:
https://doi.org/10.23925/2179-3565.2024v15i2p04-15Keywords:
Higher Education, Artificial Intelligence, Regulation, Education ManagementAbstract
This essay aims to discuss the importance of the use of artificial intelligence (AI) in the education area, seeking to establish elements of dialogue between a tool, AI, and an important field of research, education. In the first place, it is important to distinguish between technological innovation as a broad concept and innovation in the educational area. These two concepts have been mixed in many debates, since the expansion of distance learning education model, caused by covid-19 world health crisis. After that, the concept of AI is introduced, which modernly began its process of global dissemination via generative languages, presenting complexities not yet fully understood in the educational context. Finally, the paper suggests that there may be a lack of technical competence in the educational area to deal with fast moving changes, proposed initially by distance learning strategy. Also, especially important, and urgent, there might be a creation of some regulation for the use of AI in the educational area; however, it depends basically on political will and political system to its implementation. If this situation does not happen, the outcome may be an increase of precariousness of the educational services, due to an absence of understanding, from part of some education market main actors, of their intrinsic competences of education, exposing latent problems of inability to provide minimum learning guarantees to the students, with a good and acceptable level of teaching.
References
Adam, S. (2016). The wealth of nations. Aegitas.
Albuquerque, P. H., Saavedra, C. A. P. B., Morais, R. L., Alves, P. F., & Peng, Y. (2019). Na era das máquinas, o emprego é de quem? Estimação da probabilidade de automação de ocupações no Brasil. Texto para Discussão
Alura. (2023). Institucional. Retrieved from: https://alura.com.br
Asimov, I. (2015). Eu, robô. Aleph.
Buiten, M.C. (2019). Towards intelligent regulation of artificial intelligence. European Journal of Risk Regulation, 10(1):41-59.
Castells, M. (1999). A Era da Informação: Economia, Sociedade e Cultura. v. 1: A sociedade em rede. São Paulo: Paz e Terra.
Chaudhry, M. A., & Kazim, E. (2022). Artificial Intelligence in Education (AIEd): A high-level academic and industry note 2021. AI and Ethics, 2:157-165.
Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: the state of the field. International Journal of Educational Technology in Higher Education, 20(1), 1-22.
Distrito. (2019). Distrito Edtech Report.
EDX. (2023). About us. Retrieved from: https://www.edx.org/about-us
Eloundou, T., Manning, S., Mishkin, P., & Rock, D. (2023). GPTs are GPTs: An early look at the labour market impact potential of large language models. arXiv preprint.
Eurostat. (2023). Statistics explained. Retrieved from: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Employment_statistics
Fialho, S. H., Barros, M. J. F., & Rangel, M. T. R. (2019). Desafios da regulação da EAD no ensino superior no brasil: estrutura, Diálogo e Autonomia Institucional. Gestão & Planejamento, 20:110-125.
Figueiredo, L. O., Lopes, A. M. Z., Validorio, V. C., & Mussio, S. C. (2023). Desafios e impactos do uso da Inteligência Artificial na educação. Educação Online, 18(44):e18234408-e18234408
Goldin, C. & Katz, L. F. (2009). The race between education and technology. Harvard University Press.
Huppes, T. (2012). The Western edge: Work and management in the information age. Springer Science & Business Media.
Kaufman, D. (2022). Desmistificando a Inteligência Artificial. Brasília: Editora Autêntica.
Lee, J. & Desjardins, R. (2019). Inequality in adult learning and education participation: the effects of social origins and social inequality. International Journal of Lifelong Education, 38(3):339-359.
Marx, K. (2004). Capital: volume I. Penguin.
Meira, S., Neves, A., Calegario, F., Belfort, R., & Garcia V. (2023). Inteligências: individual, social e artificial. São Paulo: Saraiva.
Nadimpalli, M. (2017). Artificial intelligence risks and benefits. International. Journal of Innovative Research in Science, Engineering and Technology, 6(6):1-5.
Nicolelis, M. A. L. (2017). Are we at risk of becoming biological digital machines? Nature Human Behaviour, 1(1):8-9.
Organização para a Cooperação e Desenvolvimento Econômico. (2005). Manual de Oslo: diretrizes para coleta e interpretação de dados sobre inovação. (3rd ed.). Brasília: FINEP.
Osiobe, E. U. (2019). A literature review of human capital and economic growth. Business and Economic Research, 9(4):179-196.
Pagels, H. R. (1988). Os Sonhos da Razão: A ascensão da física das partículas e a crise na física moderna. Rio de Janeiro: Jorge Zahar.
Parreira, A., Lehmann, L., & Oliveira, M. (2021). O desafio das tecnologias de inteligência artificial na Educação: percepção e avaliação dos professores. Ensaio: avaliação e políticas públicas em educação, 29(113): 975-999.
Razia, B., Awwad, B., & Taqi, N. (2023) The relationship between artificial intelligence (AI) and its aspects in higher education. Development and Learning in Organizations, 37(3):21-23.
Rodrigues, O. S., & Rodrigues, K. S. (2023). A inteligência artificial na educação: os desafios do ChatGPT. Texto Livre – Linguagem e Tecnologia, 16: e45997.
Schiff, D., Rakova, B., Ayeshi, A., Fanti, A., & Lennon, M. (2020). Principles to practices for responsible AI: closing the gap. arXiv, 1(1):1-5.
Schultz, T. W. (1971). Investment in human capital: The role of education and of research. Eric.
Silveira, A. D., & Vieira, N. (2019). A inteligência artificial na educação: utilizações e possibilidades. Interritórios – Revista de Educação da Universidade Federal de Pernambuco, 5(8): 206-217.
Silveira, R. C. B. & Barros, M.J.F. (2021). Impacto da inteligência artificial na empregabilidade do docente. In: Proceedings of the Colóquio Internacional de Gestão Universitária. Florianópolis: Universidade Federal de Santa Catarina.
Solow, R. M. (1987). We’d better watch out. New York Times Book Review.
Stewart, T. A. (2010). Intellectual Capital: The new wealth of organization. Currency.
Taylor, F. W. (1961). Principios de la administración científica. México: Herrero Hermanos.
Wilson, J. M. (2014). Henry Ford vs. assembly line balancing. International Journal of Production Research, 52(3):757-76.
World Economic Forum. (2020). The future of jobs report.
Xu, W., & Ouyang, F. (2022). The application of AI technologies in STEM education: a systematic review from 2011 to 2021. International Journal of STEM Education, 9(1), 1-20.
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