Uso de ChatGPT en la enseñanza del concepto de factor de seguridad en geotecnia

Autores/as

DOI:

https://doi.org/10.24054/rcta.v1i47.4076

Palabras clave:

factor de seguridad, geotecnia, criterio ingenieril, educación universitaria, ChatGPT

Resumen

En este artículo se analizan las percepciones de estudiantes de pregrado de ingeniería civil de una universidad colombiana acerca de las respuestas generadas por ChatGPT al resolver un ejercicio que involucra el cálculo del factor de seguridad de una estructura geotécnica. Se desarrolló un análisis mixto de los resultados, mediante el uso de estadística descriptiva, apoyado en el software Rstudio. Este estudio contribuye a la identificación de ChatGPT como herramienta pedagógica, cuyo uso implica la reinterpretación del rol del docente y la adaptación del tipo de actividades formativas, con énfasis en la personalización, el aprendizaje autónomo y la reflexión crítica.

Descargas

Los datos de descarga aún no están disponibles.

Referencias

H. Yu, “Reflection on whether Chat GPT should be banned by academia from the perspective for education and teaching”. Frontiers in Psychology, vol. 14:1181712. June, 2023, doi: https://doi.org/10.3389/fpsyg.2023.1181712

K. Fuchs, “Exploring the opportunities and challenges of NLP models in higher education: is Chat GPT a blessing or a curse?”. Frontiers in Education, vol. 8:1166682. May, 2023, doi: https://doi.org/10.3389/feduc.2023.1166682

T. Meng-Lin, W. O. Chong, C. Cheng-Liang, “Exploring the use of large language models (LLM) in chemical engineering education: Building core course problems with Chat-GPT”. Education for Chemical Engineers, vol. 44, pp. 71-95. July, 2023, doi: https://doi.org/10.1016/j.ece.2023.05.001

S. Nikolic, S. Daniel, R. Haque, M. Belkina, G. M. Hassan, S. Grundy, S. Lyden, P. Neal y C. Sandison, “ChatGPT versus engineering education assessment: a multidisciplinary and multi-institutional benchmarking and analysis of this generative artificial intelligence tool to investigate assessment integrity”, European Journal of Engineering Education, vol. 48, No. 4, pp. 559-614. May, 2023, doi: https://doi.org/10.1080/03043797.2023.2213169

L. M. Sánchez-Ruiz, S. Moll-López, A. Nuñez-Pérez, J. A. Moraño-Fernández, E. Vega-Fleitas, "ChatGPT Challenges Blended Learning Methodologies in Engineering Education: A Case Study in Mathematics". Applied Sciences, vol. 13, No. 10: 6039. May, 2023, doi: https://doi.org/10.3390/app13106039

A. Patel, “Interpretations after a geotechnical failure”, in Woodhead Publishing Series in Civil and Structural Engineering, Geotechnical Interpretations in Field Practice, A. Patel, ed. Cambridge, MA: Woodhead Publishing, 2024, Chapter 7, pp. 145-152. doi: https://doi.org/10.1016/B978-0-443-14092-1.00017-5

J. C. Musto, “The safety factor: case studies in engineering judgment”. International Journal of Mechanical Engineering Education, vol. 38, No. 4. November, 2010, doi: https://doi.org/10.7227/IJMEE.38.4.2

J. Haurylkiewicz, “Critical analysis of the method of safety factors in geotechnics”, in International Conference on Applications of Statistics and Probability in Soil and Structural Engineering, Sydney, Australia, January - February, 1979.

D. Naylor, “Quantifying safety”, Ground Engineering, vol. 14, no. 7. 1981.

G. N. Smith, “The use of probability theory to assess the safety of propped embedded cantilever retaining walls”. Geotechnique, vol. 35, no. 4. 1985.

J. Oliphant, “Controlling the safety of geotechnical structures: a proposed approach”. Geotechnical and Geological Engineering, Vol. 10. 1992.

J. C. Ruge, O. H. Vargas, J. E. Carmona, “Desafíos en la definición de factores de seguridad en el diseño de estructuras geotécnicas”, Revista Colombiana de Tecnologías de Avanzada, Vol. 2, No. 40. September, 2022, doi: https://doi.org/10.24054/rcta.v2i40.2354

I. Rizos, N. Gkrekas, “The Impact of LLM on Mathematics education and research at the university”, Social Sciences & Humanities Open, vol. 12: 101969. September, 2025. DOI: https://doi.org/10.1016/j.ssaho.2025.101969

S. N. Yeh, C. J. R. Siah, “Students’ attitudes toward LLMs and its association with metacognitive abilities: a cross-sectional study”, Nurse Education in Practice, vol. 88: 104567. September, 2025. DOI: https://doi.org/10.1016/j.nepr.2025.104567

D. Kim, T. Kim, Y. Kim, Y. H. Byun, T. S. Yup, “A ChatGPT-MATLAB framework for numerical modeling in geotechnical engineering applications”, Computers and Geotechnics, vol. 169: 106237. May, 2024. DOI: https://doi.org/10.1016/j.compgeo.2024.106237

M. Aluga, “Application of ChatGPT in civil engineering”, East African Journal of Engineering, vol. 6, No. 1. pp. 104-112. June, 2023, doi: https://doi.org/10.37284/eaje.6.1.1272

P. P. Ray, “ChatGPT in transforming communications in seismic engineering: Case studies, implications, key challenges and future directions”, Earthquake Science, vol. 37, No. 4, pp. 352-367. August, 2024, doi: https://doi.org/10.1016/j.eqs.2024.04.003

M. Talha Junaid, M. Barakat, S. Awad, N. Anwar, “Adopting the power of AI Chatbots for Enriching Students Learning in Civil Engineering Education: a Study of Capabilities and Limitations”, in Artificial Intelligence in Education: the Power and Dangers of ChatGPT in the Classroom, A. Al-Mazouqi, S.A. Salloum, M. Al-Saidat, A. Aburayyam B. Gupta, eds. Switzerland: Springer Nature, 2024, Chapter 3, pp. 25-48. doi: https://doi.org/10.1007/978-3-031-52280-2

S. M. J. Uddin, A. Albert, M. Tamanna, A. Ovid, A. Alsharef, “ChatGPT as an educational resource for civil engineering students”, Computers Applications in Engineering Education, vol. 32, No. 4. April, 2024, doi: https://doi.org/10.1002/cae.22747

Z. Xue, C. Xu, X. Xu, “Application of ChatGPT in natural disasters prevention and reduction”, Natural Hazards Research, vol. 3, No. 3, pp. 556-562. September, 2023, doi: https://doi.org/10.1016/j.nhres.2023.07.005

S. Wu, C. Shi, Y. F. Leung, Y. Otake, C. Konishi, M. Zhou, Y. Tao, Z. Cao, T. Nakamura, “Perspectives: LLM agents reshaping the foundation of geotechnical problem-solving”, Geodata and AI, vol. 4: 100036. September, 2025. DOI: https://doi.org/10.1016/j.geoai.2025.100036

T. Kim, T.S. Yun, H.S., Suh. “Can ChatGPT Implement Finite Element Models for Geotechnical Engineering Applications?”, International Journal for Numerical and Analytical Methods in Geomechanics. Vol.49, No. 6. April, 2025, doi: https://doi.org/10.1002/nag.3956

T. Kim, D, Kim, T.S. Yun. “ChatGPT-driven Numerical Modeling for Geotechnical Applications”. Journal of the Korean Geotechnical Society, Vol.41, No.4. August, 2025, doi: https://doi.org/10.7843/kgs.2025.41.4.99

A. Parsa-Pajouh. “Application of generative AI to automate numerical analysis and synthetic data generation in geotechnical engineering”. Machine Learning and Data Science in Geotechnics. Vol. 1. No.1. December, 2025. doi: https://doi.org/10.1108/MLAG-09-2024-0008

A. C. Niloy, M. A. Bari, J. Sultana, R. Chowdury, F. M. Raisa, A. Islam, S. Mahmud, I. Jahan, M. Sarkar, S. Akter, N. Nishat, M. Afroz, A. Sen, T. Islam, M. H. Tareq, M. A. Hossen, “Why do students use ChatGPT? Answering through a triangulation approach”, Computers and Education: Artificial Intelligence, vol. 6: 100208. Jan, 2024. DOI: https://doi.org/10.1016/j.caeai.2024.100208

ChatGPT. OpenAI. Accessed: Dec. 1. 2025. [Online]. Available: https://chatgpt.com/

Publicado

2026-01-01

Número

Sección

Artículos

Cómo citar

[1]
“Uso de ChatGPT en la enseñanza del concepto de factor de seguridad en geotecnia”, RCTA, vol. 1, no. 47, pp. 13–25, Jan. 2026, doi: 10.24054/rcta.v1i47.4076.

Artículos similares

61-70 de 108

También puede Iniciar una búsqueda de similitud avanzada para este artículo.