Transforming Education in Mexico:

Artificial Intelligence as an Engine for the Development of Skills

Authors

  • Renata Nanyelin Cuevas Villa Universidad Autónoma del Estado de México.
  • Sandra Miriam Alcántara Ramírez Universidad Autónoma del Estado de México.
  • Bertha Luz Martínez Hernández Universidad Autónoma del Estado de México.

DOI:

https://doi.org/10.51896/rilcods.v6i52.435

Keywords:

Artificial intelligence, Education, Mexico, Skills, Transformation

Abstract

This scientific article addresses the impact of artificial intelligence (AI) in the transformation of education in Mexico, focusing on the development of skills. Education is in a constant process of change, and AI has emerged as a key element in driving this transformation. Through a qualitative approach, the effects of AI in education, its influence on the development of skills and its relevance in the Mexican context are explored. The challenges and opportunities that this integration presents are identified. Based on the study information and interpretation of results, it is concluded that AI has the potential to improve education by personalizing learning, fostering 21st century skills, and preparing students for an ever-evolving technological future.

References

Díaz, D. (2020). El aula del futuro: cómo la inteligencia artificial transformará la educación. Harvard Deusto Business Review, 31, 6-13.

González, G. (2019). Personalized Learning with Technology in Secondary Education: Teachers' Perspectives. Journal of Research on Technology in Education, 51(4), 343-358.

Johnson, R., Adams Becker, S., Estrada, V., Freeman, A. (2019). NMC Horizon Report: 2019 Higher Education Edition. The New Media Consortium.

Mitchell, T. M., et al. (2020). Artificial Intelligence: A Guide to Intelligent Systems (4th ed.). Pearson.

Pérez, A. (2018). Inteligencia artificial y educación. Revista Iberoamericana de Educación a Distancia, 21(1), 211-230.

Piaget, J. (1973). To understand is to invent: The future of education. Grossman.

Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics. Cambridge Handbook of the Learning Sciences, 355-372.

Dillenbourg, P., Järvelä, S., & Fischer, F. (2017). The evolution of research on computer-supported collaborative learning. En International handbook of the learning sciences (pp. 19-34). Routledge.

Selwyn, N. (2019). Should robots replace teachers? AI in education and education for AI. Learning, Media and Technology, 44(4), 415-428.

Vander Ark, T. (2018). Using AI to transform education: A conversation with Tom Vander Ark. Digital Promise. Recuperado de: https://digitalpromise.org/2018/03/28/using-ai-to-transform-education-a-conversation-with-tom-vander-ark/

Downloads

Published

2024-02-23

How to Cite

Cuevas Villa , R. N., Alcántara Ramírez , S. M., & Martínez Hernández , B. L. (2024). Transforming Education in Mexico:: Artificial Intelligence as an Engine for the Development of Skills. Desarrollo Sustentable, Negocios, Emprendimiento Y Educación, 6(52), 1–10. https://doi.org/10.51896/rilcods.v6i52.435

Issue

Vol. 6 No. 52 (2024): February

Section

Artículos

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Usted es libre de:

  • Compartir — copiar y redistribuir el material en cualquier medio o formato
  • Adaptar — remezclar, transformar y construir a partir del material

Bajo los siguientes términos:

  • Atribución — Usted debe dar crédito de manera adecuada, brindar un enlace a la licencia, e indicar si se han realizado cambios. Puede hacerlo en cualquier forma razonable, pero no de forma tal que sugiera que usted o su uso tienen el apoyo de la licenciante.
  • NoComercial — Usted no puede hacer uso del material con propósitos comerciales.