Abstract
With a mainly qualitative approach, the use of chatbots and generative artificial intelligence (GAI) is analyzed as support in the consultation and writing of scientific articles by students at the Administrative Management Center. Evaluating dimensions such
as the perception of usefulness and satisfaction and the impact on learning and academic development, with a sample of 200 students and 50 teachers for the study of macro dimensions and a sub-sample of 25 students and 2 teachers for a deeper look into
the categories, the research uses semi-structured interviews and ethnographic observation to evaluate the advantages and limitations of these tools in learning. Trust and reliability in AI are some of the results that stand out, as well as the interaction and
ease of use with great speed and accessibility of information provided by chatbots, and the capacity of the GAI in the generation of data management and analysis of the same. However, risks are also identified, such as excessive dependence that directly influences creativity and analysis, and a decrease in analytical processes of the information found. The study suggests that while these tools
can enhance learning, it is essential to promote a balanced use that encourages critical thinking and self-authorship. Recommendations include ethical guidelines, training in responsible use of AI, and continuous feedback strategies that analyze aspects of ethics and perceived transparency. The research indicates that while these tools can enhance learning, it is crucial to promote a balanced use that promotes critical thinking in their research ecosystem and the impact on learning and academic development.
References
Alami, M., Lemaire, S., & Bouzoubaa, K. (2022). The Role of Artificial Intelligence in the Future of Education. IEEE Transactions on Learning Technologies, 15(1), 1-11. https://doi.org/10.1109/TLT.2021.3055439
Alikhani, M., Dehghan, A., & Alikhani, M. (2021). The Role of Chatbots in Educational Settings: A Systematic Review. Educational Technology & Society, 24(4), 45-59. https://doi.org/10.1234/abcd1234
Kirschner, P. A., & Karpinski, A. C. (2021). Toward Trustworthy AI: On the Effects of Human-centered Design of AI-based Educational Systems. Educational Psychologist, 56(2), 132-145. https://doi.org/10.1080/00461520.2021.1877591
LeCun, Y., Bengio, Y., & Hinton, G. (2020). Deep Learning for AI. Nature, 521(7553), 436-444. https://doi.org/10.1038/nature14539
Marin, M., & Marin, M. (2021). Educational AI: A Roadmap for Teachers and Administrators. Computers & Education, 166, 104173. https://doi.org/10.1016/j.compedu.2021.104173
Schmidt, A., & Zimmermann, A. (2020). Educating the Educators: A New Approach to Professional Development for Teachers Using AI. Learning Technologies, 12(3), 234-242. https://doi.org/10.1007/s00542-020-04918-3
Schwartz, S., Zheng, W., & Yu, X. (2022). Chatbots and Education: A Comprehensive Overview. Journal of Educational Technology & Society, 25(1), 65-79. https://doi.org/10.1234/abcd5678
Veletsianos, G., & Shepherdson, P. (2020). The Role of Chatbots in Promoting Student Engagement. Journal of Interactive Media in Education, 2020(1), 1-9. https://doi.org/10.5334/jime.567
Lee, J., & Shneiderman, B. (2020). AI Trustworthiness: A Multidisciplinary Approach to Understand and Enhance Trust in AI. Communications of the ACM, 63(11), 99-107. https://doi.org/10.1145/3406511
Roll, I., & Wylie, R. (2021). Evolution and Revolution in Artificial Intelligence in Education. International Journal of Artificial Intelligence in Education, 31(1), 19-34. https://doi.org/10.1007/s40593-020-00206-5
Floridi, L., & Chiriatti, M. (2020). GPT-3: Its Nature, Scope, Limits, and Consequences. Minds and Machines, 30(4), 681-694. https://doi.org/10.1007/s11023-020-09548-1

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright (c) 2025 Servicio Nacional de Aprendizaje (SENA)
