El impacto de la Inteligencia Artificial en la educacióntransformación de la forma de enseñar y de aprender

  1. Carina S. González González 1
  1. 1 Universidad de La Laguna
    info

    Universidad de La Laguna

    San Cristobal de La Laguna, España

    ROR https://ror.org/01r9z8p25

Zeitschrift:
Qurriculum: Revista de Teoría, Investigación y Práctica Educativa

ISSN: 1130-5371

Datum der Publikation: 2023

Nummer: 36

Seiten: 50-60

Art: Artikel

DOI: 10.25145/J.QURRICUL.2023.36.03 DIALNET GOOGLE SCHOLAR lock_openRIULL editor

Andere Publikationen in: Qurriculum: Revista de Teoría, Investigación y Práctica Educativa

Zusammenfassung

Artificial intelligence (AI) has demonstrated its potential to transform numerous fields and education is no exception. In today’s digital age, AI has emerged as a powerful tool that is revolutionizing teaching and learning. In this article, we will explore the impact of artificial intelligence in education and how it is transforming the educational landscape at all levels. From personalizing learning to improving feedback and developing interactive resources, we will examine how AI is changing how we acquire knowledge and skills.

Bibliographische Referenzen

  • Baidoo-Anu, D. y Owusu Ansah, L. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Available at SSRN 4337484.
  • Chan, L., Hogaboam, L. y Cao, R. (2022). Artificial intelligence in education. In Applied Artificial Intelligence in Business: Concepts and Cases (pp. 265-278). Cham: Springer International Publishing.
  • Chen, X., Zou, D., Xie, H., Cheng, G. y Liu, C. (2022). Two decades of artificial intelligence in education. Educational Technology & Society, 25(1), 28-47.
  • Fengchun Miao, Wayne Holmes, Ronghuai Huang, and Hui Zhang, AI and education: Guidance for policymakers, United Nations Educational, Scientific and Cultural Organization 7, place de Fontenoy, 75352 Paris 07 SP, France, UNESCO 2021, ISBN 978-92-3-100447-6.
  • Flores, F.A.I., Sanchez, D.L.C., Urbina, R.O.E., Coral, M.Á.V., Medrano, S.E.V. y Gonzales, D.G.E. (2022). Inteligencia artificial en educación: una revisión de la literatura en revistas científicas internacionales. Apuntes Universitarios, 12(1), 353-372.
  • García Torija, A.I. (2021). Diseño generativo: algoritmos como método de diseño.
  • García-Peñalvo, F.J. (2023). The perception of Artificial Intelligence in educational contexts after the launch of ChatGPT: Disruption or Panic?
  • González, C.S., Muñoz, V., Toledo, P., Mora, A. y Moreno, L. (2014). EMATIC: an inclusive educational application for tablets. In Proceedings of the XV International Conference on Human Computer Interaction (Interacción ‘14). Association for Computing Machinery, New York, NY, USA, Article 94, 1-8. https://doi.org/10.1145/2662253.2662347.
  • González-González, C.S. (2004). Sistemas inteligentes en la educación: una revisión de las líneas de investigación y aplicaciones actuales. RELIEVE: v. 10, n.o 1, pp. 3-22. http://www.uv.es/ RELIEVE/v10n1/RELIEVEv10n1_1.htm.
  • Hwang, G.J. y Tu, Y.F. (2021). Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review. Mathematics, 9(6), 584.
  • LeCun, Y., Bengio, Y. y Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444.
  • Lloret, C.M., González, A.H. y Raboso, D.D. (2002). Sistemas y recursos educativos basados en IA que apoyan y evalúan la educación. Accesible en https://assets.pubpub.org/4fv1h4my/4bd0b28b-2cc5-4009-a9bb-0882fb463e80.pdf.
  • Murtaza, M., Ahmed, Y., Shamsi, J.A., Sherwani, F. y Usman, M. (2022). AI-based personalized e-learning systems: Issues, challenges, and solutions. IEEE Access.
  • Prahani, B.K., Rizki, I.A., Jatmiko, B., Suprapto, N. y Amelia, T. (2022). Artificial Intelligence in Education Research During the Last Ten Years: A Review and Bibliometric Study. International Journal of Emerging Technologies in Learning, 17(8).