Trends in Artificial Intelligence for Education

Abstract

This scientific article investigates emerging trends in artificial intelligence (AI) in the educational context, exploring its impact and transformative potential. Addressing key areas, the study highlights trends in learning personalization, virtual assistants, gamification, predictive analytics and ethics in the integration of AI in education. These AI-based tools provide personalized responses, contributing to efficient and enriching communication. Gamification and game-based learning are approaches that use AI to create more interactive and motivating educational experiences. By introducing playful elements, these techniques seek to stimulate students' interest, making the learning process more attractive. Ethics in educational artificial intelligence is an essential consideration. In summary, this study provides a comprehensive view of artificial intelligence trends in education, highlighting its transformative role. This article aims to analyze and discuss emerging trends in the field of artificial intelligence (AI) applied to education. Through a comprehensive review of up-to-date literature, technological and methodological innovations that are shaping the integration of AI into the educational landscape will be explored. The main focus will be to identify the main trends, challenges and opportunities associated with the use of artificial intelligence to improve teaching and learning processes. Furthermore, the article aims to provide valuable insights for educators, researchers and professionals interested in the growing role of AI in the evolution of education, aiming to contribute to the advancement of knowledge and practices in this dynamic domain.

Keywords: Trends, Artificial Intelligence, Education

References

Baker, R.S., e Yacef, K. (2009). The state of educational data mining in 2009: A review and future visions. Journal of Educational Data Mining, 1(1), 3-17. https://doi.org/10.5281/zenodo.3554657

Bernacki, M.L., e Walkington, C. (2018). The Role of Situational Interest in Personalized Learning. Journal of Educational Psychology, 110(6). http://dx.doi.org/10.1037/edu0000250

Bickley, L.S., Szilagyi, P.G., e Hoffman, R.M. (2015). Bates - Propedêutica médica. Ed. Guanabara Koogan.

Clark, R.C., e Mayer, R.E. (2016). E-learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning. John Wiley & Sons.

Deterding, S., Dixon, D., Khaled, R., e Nacke, L. (2011). From game design elements to gamefulness: defining"gamification". Proceedings of the 15th international academic MindTrek conference: Envisioning future media environments, 9-15. http://dx.doi.org/10.1145/2181037.2181040

Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., Schafer, B., Vlacke, P, e Vayena, E. (2020). AI4People - An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 30(4), 689-707. https://doi.org/10.1007/s11023-018-9482-5

Gil, A.C. (2008). Como elaborar projetos de pesquisa (4ª ed.). Editora Atlas.

Guzman, E.S., e Molina M.G. de (2020). Sobre a evolução do conceito de campesinato. Expressão Popular.

Hodges, C., Moore, S., Lockee, B., Trust, T., e Bond, A. (2019). The difference between emergency remote teaching and online learning. Educause Review, 27. https://www.researchgate.net/publication/340535196

Karampiperis, P., e Sampson, D.G. (2019). Chatbots in educational environments: A systematic literature review. IEEE Transactions on Learning Technologies, 12(3), 263-274. https://onlinelibrary.wiley.com/doi/abs/10.1002/cae.22326

McCarthy, J. (2017). What is artificial intelligence. https://www.researchgate.net/publication/28762490

Minayo, M.C. de S. (Org.) (2009). Pesquisa social. Teoria, método e criatividade. Editora Vozes.

Rich, E., e Knight, K. (1994). Inteligencia Artificial. Makron Books.

SAS (2024). Inteligência Artificial na Educação: adaptação, desafios e potenciais. SAS - Plataforma de Educação. Blog.saseducacao.com.br/inteligencia-artificial-na-educacao-adaptacao-desafios-e-potenciais/

Siemens, G. (2012). Learning analytics: Envisioning a research discipline and a domain of practice. 2nd International conference on learning analytics and knowledge Vancouver, Canada 29 April - 2 May 2012. https://doi.org/10.1145/2330601.2330605

Van den Heuvel-Panhuizen, M., Drijvers, P., Bakker, A., van Dooren, W., Hofman, A., Keijzer, R., e Wijers, M. (2019). Realistic mathematics education. In Second handbook of research on mathematics teaching and learning (pp. 245-277). Springer.

Author Biographies

Aline dos Santos Moreira de Carvalho,

http://lattes.cnpq.br/1905195483475216

Leonardo da Silva,

http://lattes.cnpq.br/5574062305382491

Afonso Celso Sampaio Ribeiro Filho,

http://lattes.cnpq.br/4321981232359761

Joelma Cellin,

http://lattes.cnpq.br/5933530177496565

Published
2024-04-03
How to Cite
Carvalho, A. dos S. M. de, Silva, L. da, Ribeiro Filho, A. C. S., & Cellin, J. (2024). Trends in Artificial Intelligence for Education. Lecturas: Educación Física Y Deportes, 29(311), 135-147. https://doi.org/10.46642/efd.v29i311.7432
Section
Innovation and Experiences