Didactic innovation with generative AI in university mathematics: experiences at TEC

Main Article Content

Melvin Ramírez-Bogantes
Jorge Monge-Fallas
Alexander Borbón-Alpízar
Marco Vinicio Gutiérrez-Montenegro
Reiman Acuña-Chacón
Luis Gerardo Meza-Cascante

Abstract

This article presents a set of didactic innovation experiences using generative artificial intelligence (GenAI) in university mathematics teaching at the Costa Rican Institute of Technology (TEC) during the 2024–2025 period. The initiative arises within the framework of the institution’s digital transformation and seeks to explore the pedagogical potential of GenAI as a cognitive and ethical mediator rather than as a substitute for human reasoning. The study adopts a descriptive qualitative approach with the direct participation of the teacher-authors, who implemented several experiences in mathematics courses. The results show that incorporating GenAI into the classroom can foster conceptual understanding, three-dimensional visualization, and digital literacy when integrated into activities with didactic design, pedagogical prompting, and systematic verification. Ethical and formative challenges were also identified, including superficial use, technological dependence, and the need to redesign assessment to value processes and explanations. From the perspective of the innovative teachers, GenAI is conceived as scaffolding for thinking and engaging in mathematical dialogue, promoting reflective teaching centered on the learner. In conclusion, the experience reaffirms that innovation does not reside in the technology itself but in the pedagogical purpose that guides it, and that GenAI contributes to developing reflection and critical thinking in university mathematics learning.

Article Details

How to Cite
Ramírez-Bogantes, M., Monge-Fallas, J., Borbón-Alpízar, A., Gutiérrez-Montenegro, M. V., Acuña-Chacón, R., & Meza-Cascante, L. G. (2026). Didactic innovation with generative AI in university mathematics: experiences at TEC. Tecnología En Marcha Journal, 39(5), Pág. 147–156. https://doi.org/10.18845/tm.v39i5.8503
Section
Inteligencia Artificial en educación superior

References

[1] Fernández, B. Gómez, K. Binjaku, and E. Kajo Meçe, “Digital transformation initiatives in higher education institutions: A multivocal literature review,” Education and Information Technologies, 2023. https://doi.org/10.1007/s10639-022-11544-0

[2] E. Mukul and G. Büyüközkan, “Digital transformation in education: A systematic review of Education 4.0,” Technological Forecasting and Social Change, vol. 194, 122664, 2023. https://doi.org/10.1016/j.techfore.2023.122664

[3] J. Petchamé, I. Iriondo, O. Korres, and J. Paños-Castro, “Digital transformation in higher education: A qualitative evaluative study of a hybrid virtual format using a smart classroom system,” Heliyon, vol. 9, e16675, 2023. https://doi.org/10.1016/j.heliyon.2023.e16675

[4] K. Antonopoulou, C. Begkos, and Z. Zhu, “Staying afloat amidst extreme uncertainty: A case study of digital transformation in higher education,” Technological Forecasting & Social Change, vol. 192, 122603, 2023. https://doi.org/10.1016/j.techfore.2023.122603

[5] J. E. S. Carmo, D. P. Lacerda, C. O. Klingenberg, and F. A. S. Piran, “Digital transformation in the management of higher education institutions,” Sustainable Futures, vol. 8, 100192, 2025. https://doi.org/10.1016/j.sftr.2025.100692

[6] A. J. Singun, “Unveiling the barriers to digital transformation in higher education institutions: A systematic literature review,” Discover Education, vol. 4, 37, 2025. https://doi.org/10.1007/s44217-025-00430-9

[7] R. Ramadania, Y. Hartijasti, B. B. Purmono, D. M. N. Haris, and M. Z. Afifi, “A systematic review on digital transformation and organizational performance in higher education,” International Journal of Sustainable Development and Planning, vol. 19, no. 4, pp. 1239–1252, 2024. https://doi.org/10.18280/ijsdp.190402

[8] A. C. Useche, Á. H. Galvis, F. Díaz-Barriga Arceo, A. E. Patiño Rivera, and C. Muñoz-Reyes, “Reflexive pedagogy at the heart of educational digital transformation in Latin American higher education institutions,” International Journal of Educational Technology in Higher Education, vol. 19, Art. 68, 2022. https://doi.org/10.1186/s41239-022-00365-3

[9] M. Akour and M. Alenezi, “Higher education future in the era of digital transformation,” Education Sciences, vol. 12, 784, 2022. https://doi.org/10.3390/educsci12110784

[10] UNESCO, Guidance for Generative AI in Education and Research. Paris: UNESCO, 2023. https://unesdoc.unesco.org/ark:/48223/pf0000386693

[11] H. Yoon, J. Hwang, K. Lee, K. H. Roh, and O. N. Kwon, “Students’ use of generative artificial intelligence for proving mathematical statements,” ZDM – Mathematics Education, vol. 56, pp. 1531–1551, 2024. https://doi.org/10.1007/s11858-024-01629-0

[12] S. Schorcht, N. Buchholtz, and L. Baumanns, “Prompt the problem—Investigating the mathematics educational quality of AI-supported problem solving by comparing prompt techniques,” Frontiers in Education, Art. 1386075, 2024. https://doi.org/10.3389/feduc.2024.1386075

[13] D. Serhan and N. Welcome, “Integrating ChatGPT in the Calculus classroom: Student perceptions,” International Journal of Technology in Education and Science (IJTES), vol. 8, no. 2, pp. 325–335, 2024. https://doi.org/10.46328/ijtes.559

[14] Y. Zhuang, “Lessons from using ChatGPT in Calculus: Insights from two contrasting cases,” Journal of Formative Design in Learning, vol. 9, pp. 25–35, 2025. https://doi.org/10.1007/s41686-025-00098-2

[15] B. Pepin, N. Buchholtz, and U. Salinas-Hernández, “A scoping survey of ChatGPT in mathematics education,” Digital Experiences in Mathematics Education, vol. 11, pp. 9–41, 2025. https://doi.org/10.1007/s40751-025-00172-1

[16] H. S. Almarashdi, A. M. Jarrah, O. Abu Khurma, and S. M. Gningue, “Unveiling the potential: A systematic review of ChatGPT in transforming mathematics teaching and learning,” EURASIA Journal of Mathematics, Science and Technology Education, vol. 20, no. 12, em2555, 2024. https://doi.org/10.29333/ejmste/15739

[17] S. Getenet, “Pre-service teachers and ChatGPT in multistrategy problem-solving: Implications for mathematics teaching in primary schools,” International Electronic Journal of Mathematics Education, vol. 19, no. 1, em0766, 2024. https://doi.org/10.29333/iejme/14141