Vol. 2 No. 1 (2025)
Artículos de Investigación

Generative Artificial Intelligence in the Classroom: Ally or Threat to Mathematics Teaching?

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  • Denilsón Andrés Silgado-Tuñón,
  • José Iván López-Flores
Denilsón Andrés Silgado-Tuñón
Autonomous University of Zacatecas
Bio
José Iván López-Flores
Autonomous University of Zacatecas
Bio
DOI: https://doi.org/10.71713/retee.v2i1.3512

Published 2025-06-30

Keywords

  • Artificial intelligence,
  • teaching,
  • professor,
  • mathematics,
  • technology

Copyright (c) 2025 Denilsón Andrés Silgado-Tuñón, José Iván López-Flores

Creative Commons License

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

How to Cite

Generative Artificial Intelligence in the Classroom: Ally or Threat to Mathematics Teaching?. (2025). Revista Electrónica Tecnologías Emergentes En La Educación, 2(1), 53-66. https://doi.org/10.71713/retee.v2i1.3512

Abstract

This article reflects on the impact of Generative Artificial Intelligence (GenAI) on mathematics teaching, analyzing its benefits, risks, and integration conditions. The aim is to determine whether these tools should be considered allies or threats in educational processes. The study employs a critical and interpretative documentary analysis, reviewing recent literature (2019–2025) focused on experiences with tools such as ChatGPT, Gemini, Perplexity AI, and DeepSeek. The main findings suggest that GenAI supports personalized learning, automated resource creation, and real-time feedback. Nevertheless, ethical, pedagogical, and technical risks are also identified, including the loss of critical thinking, excessive reliance on technology, and the dehumanization of education. The reflection concludes that the use of GenAI must be ethical, critical, and pedagogically informed, with teachers playing an essential and irreplaceable role as knowledge mediators. The study highlights the need for strong teacher training, clear institutional frameworks, and integration strategies that foster students' holistic development.

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References

  1. Ahn, D. Y., Son, T. K., & Lee, K. H. (2023). ChatGPT as a scaffolding tool: Evaluating the impact on elementary students’ mathematical logic problem-solving skills. Brain, Digital, & Learning, 13(2), 183-196. https://doi.org/10.31216/BDL.20230011
  2. Alawida, M., Mejri, S., Mehmood, A., Chikhaoui, B., & Abiodun, O. I. (2023). A comprehensive study of ChatGPT: Advancements, limitations, and ethical considerations in natural language processing and cybersecurity. Information, 14(8), 462. https://doi.org/10.3390/info14080462
  3. Bonilla, A., Márquez, J. E., Benavides, L. G., & Gutiérrez, F. R. (2024). Inteligencia Artificial Generativa (IAG) en la educación matemática. Encuentro Internacional de Educación En Ingeniería. https://doi.org/10.26507/paper.3672
  4. Castaño, R. (2024). Impacto de la inteligencia artificial generativa en la educación superior: un estudio comparativo. Revista Compromiso Social, 7(12), 95–110. https://doi.org/10.5377/recoso.v7i12.19650
  5. Chávez, M., Labrada, E., Carbajal, E., Pineda, E., & Alatristre, Y. (2023). Inteligencia artificial generativa para fortalecer la educación superior: Generative artificial intelligence to boost higher education. LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades, 4(3), 767–784. https://doi.org/10.56712/latam.v4i3.1113
  6. Corica, A. R., Sureda, P., Parra, V., Schiaffino, S., & Godoy, D. (2024). Educación e inteligencia artificial: desempeño de chatbots y profesores de matemática en la resolución de problemas geométricos. Areté, Revista Digital Del Doctorado En Educación, 10(ee), 119–139. Recuperado a partir de http://saber.ucv.ve/ojs/index.php/rev_arete/article/view/29456
  7. Coy, G., Fuel, A., Durán, V., & Coloma, J. (2024). La inteligencia artificial aplicada a la enseñanza de la matemática. Conocimiento Global, 9(1), 234-242. https://doi.org/10.70165/cglobal.v9i1.357
  8. Da Silva, A. C., & Tanaka, M. (2025). Elaboração De Itens De Matemática Com Auxílio De Inteligência Artificial Generativa. Revista Nova Paideia-Revista Interdisciplinar em Educação e Pesquisa, 7(1), 351-366. https://doi.org/10.36732/riep.v7i1.399
  9. Diaz, J., Molina, R., Bayas, C., & Ruiz, A. (2024). Asistencia de la inteligencia artificial generativa como herramienta pedagógica en la educación superior. Revista de Investigación en Tecnologías de la Información, 12(26), 61–76. https://doi.org/10.36825/RITI.12.26.006
  10. Farré, D. (2025). Inteligencia artificial generativa en docencia universitaria - Caso de aplicación. Costos Y Gestión, (108). https://doi.org/10.56563/costosygestion.108.e5
  11. García-Peñalvo, F. J., Llorens-Largo, F., & Vidal, J. (2024). La nueva realidad de la educación ante los avances de la inteligencia artificial generativa. RIED-Revista Iberoamericana de Educación a Distancia, 27(1), 9–39. https://doi.org/10.5944/ried.27.1.37716
  12. González, A. H., Portillo, J. J., & Zangara, M. A. (2024). La inteligencia artificial generativa en la enseñanza media: propuesta de formación de docentes. Revista Iberoamericana de Tecnología en Educación y Educación en Tecnología, 37, 78-88. https://doi.org/10.24215/18509959.37.e7
  13. Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
  14. Jiménez, L., López-Gómez, J. A., Martín-Baos, J. Á., Romero, F. P., & Serrano-Guerrero, J. (2023). ChatGPT: Reflexiones sobre la irrupción de la inteligencia artificial generativa en la docencia universitaria. En J. L. Cruz, A. Medina, & M. J. Rodríguez (Eds.), Actas de las XXIX
  15. Jornadas sobre la Enseñanza Universitaria de la Informática (pp. 113–120). Asociación de Enseñantes Universitarios de la Informática (AENUI).
  16. Kang, Y. J. (2024). A study on the didactical application of ChatGPT for mathematical word problem solving. Communications of Mathematical Education, 38(1), 49-67. https://doi.org/10.7468/jksmee.2024.38.1.49
  17. Kim, H. J., Cho, H. M., Ko, E. S., Lee, D. H., Cho, J. W., Choi, J. S., Han, C. R., & Hwang, J. H. (2022). Development and application of assessment items for the diagnosis of difficulties in learning elementary mathematics. Journal of the Korean School Mathematics Society, 25(3), 261-278. https://doi.org/10.30807/ksms.2022.25.3.003
  18. Kim, H. J., Kim, D. J., Kim, S. M., Kim, W., Moon, J. W., Lee, G. M., Oh, Y. S., Kwak, D. K., Kim, J. H., Choi, J. W., Kim, H. Y., So, B. R., Park, Y. H., Lee, J. Y., & Lee, C. H. (2023). Development of a service model and prototype for AI digital textbooks in secondary mathematics.
  19. Korea Education and Research Information Service, 50(2), 160–198. https://www.keris.or.kr/main/tender/view/selectTenderInfo.do?mi=1076&tenderSeq=29011
  20. Kwon, O. N., Oh, S. J., Yoon, J. E., Lee, K. Y., Shin, B. C., & Jeong, W. (2023). Analyzing mathematical performances of ChatGPT: Focusing on the solution of national assessment of educational achievement and the college scholastic ability test. Communications of Mathematical Education, 37(2), 233-256. https://doi.org/10.7468/jksmee.2023.37.2.233
  21. Lee, Y. J. (2023). An Analysis of pre-service teachers’ mathematics lesson design using chatGPT. Communications of Mathematical Education, 37(3), 497-516. https://doi.org/10.7468/jksmee.2023.37.3.497
  22. Lopez-Michelini, O. (2024). Influencia de la inteligencia artificial en el aprendizaje de las matemáticas en la educación superior. CIENCIAMATRIA, 10(2), 717-734. https://doi.org/10.35381/cm.v10i2.1406
  23. Luckin, R. (2018). Machine Learning and Human Intelligence: The Future of Education for the 21st Century. UCL IOE Press.
  24. Machuca, J., Díaz, T., Mero, F., Verdesoto, M., & Benalcázar, L. (2025). El uso de la inteligencia artificial para personalizar el aprendizaje de la Matemática. Ciencia Latina Revista Científica Multidisciplinar, 9(1), 11014-11024. https://doi.org/10.37811/cl_rcm.v9i1.16681
  25. Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers college record, 108(6), 1017-1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x
  26. Parra, V., Sureda, P., Corica, A., Schiaffino, S., Godoy, D. (2024). Can generative AI solve Geometry problems? Strengths and weaknesses of LLMs for geometric reasoning in Spanish. International Journal of Interactive Multimedia and Artificial Intelligence, 8(5), 65-74. https://www.ijimai.org/journal/bibcite/reference/3432
  27. Ramírez, A., & Casillas, M. (2024). Percepciones docentes sobre la Inteligencia Artificial Generativa: El caso mexicano. Revista Paraguaya de Educación a Distancia (REPED), 5(2), 44–55. https://doi.org/10.56152/reped2024-dossierIA1-art4
  28. Silgado-Tuñón, D. A., & López-Flores, J. I. (2025). Inteligencia Artificial Generativa en la Educación Superior: una Revisión Sistemática. Unión - Revista Iberoamericana de Educación Matemática, 21(73), 1-19. Recuperado a partir de https://www.revistaunion.org/index.php/
  29. UNION/article/view/1709
  30. Socorro, J. (2024). Actitudes del profesorado ante el uso y manejo de la inteligencia artificial generativa (IAG) de modo eficiente. Revista Vitalia, 5(3), 1183–1213. https://doi.org/10.61368/r.s.d.h.v5i3.325
  31. Son, T. K. (2023). Exploring the possibility of using ChatGPT in mathematics education: Focusing on student product and pre-service teachers’ discourse related to fraction problems. Education of Primary School Mathematics, 26(2), 99-113. https://doi.org/10.7468/jksmec.2023.26.2.99
  32. Sureda, P., Corica, A. R., & Parra, V. (2023). Inteligencia Artificial Generativa en la formación de Profesores de Matemática en servicio. Unión - Revista Iberoamericana de Educación Matemática, 19(69), 1-15. Recuperado a partir de https://www.revistaunion.org/index.php/
  33. UNION/article/view/1566
  34. Sureda, P., Corica, A., Parra, V., Godoy, D., & Schiaffino, S. (2024). La evaluación en educación matemática: aportes de chatbots y futuros profesores de matemática. Edutec, Revista Electrónica de Tecnología Educativa, (89), 64–83. https://doi.org/10.21556/edutec.2024.89.3243
  35. Vera, F. (2023). Integración de la Inteligencia Artificial Generativa en la Educación Superior. Transformar, 4(4), 36–46. Recuperado a partir de https://www.revistatransformar.cl/index.php/transformar/article/view/108 Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators? International journal of educational technology in higher education, 16(1), 1-27. https://doi.
  36. org/10.1186/s41239-019-0171-0