Abstract
Since the launch of ChatGPT, we have witnessed a rapid expansion of Generative Artificial Intelligence (GenAI) in education. In this context, the following question arises: how can GenAI be applied to university learning environments to harness its great potential while simultaneously minimizing the problems and/or drawbacks it may generate? Since its impact depends less on the technology itself and more on user behavior, the main challenge lies in managing its use appropriately. To address this, a guide of best practices has been designed and its impact evaluated among economics students. The tools used are based on instructional engineering, which optimizes GenAI responses, and critical thinking, which helps detect hallucinations and biases. The results show that initial training in this area improves the use of GenAI for academic activities.
References
Ahmad, S. F., Han, H., Alam, M. M., Rehmat, M., Irshad, M., Arraño-Muñoz, M., & Ariza- Montes, A. (2023). Impact of artificial intelligence on human loss in decision making, laziness and safety in education. Humanities and Social Sciences Communications, 10(1), 1-14. doi: 10.1057/s41599-023-01787-8.
Alpi, K. M., & Evans, J. J. (2019). Distinguishing case study as a research method from case reports as a publication type. Journal of the Medical Library Association: JMLA, 107(1), 1.
Bahroun, Z., Anane, C., Ahmed, V., & Zacca, A. (2023). Transforming education: A comprehensive review of generative artificial intelligence in educational settings through bibliometric and content analysis. Sustainability, 15(17), 12983. doi: 10.3390/su151712983.
Bearman, M., Ryan, J., & Ajjawi, R. (2023). Discourses of artificial intelligence in higher education: A critical literature review. Higher Education, 86(2), 369-385. doi: 10.1007/s10734-022-00937-2.
Carbonell-Alcocer, A., Sanchez-Acedo, A., Benitez-Aranda, N., & Gertrudix, M. (2025). Impacto de la Inteligencia Artificial Generativa en la eficiencia, calidad e innovación en la producción de Recursos Educativos Abiertos para MOOCS. Comunicación y Sociedad, 1-31.
Chauncey, S. A., & McKenna, H. P. (2023). A framework and exemplars for ethical and responsible use of AI Chatbot technology to support teaching and learning. Computers and Education: Artificial Intelligence, 5, 100182. doi: 10.1016/j.caeai.2023.100182.
Crabtree, M. (2024). What is Prompt Engineering? A Detailed Guide For 2024. Recuperado el 20 de junio, 2024 de: https://www.datacamp.com/blog/what-isprompt-engineering-the-future-of-ai-communication#rdl.
Creswell, J. W., & Poth, C. N. (2016). Qualitative inquiry and research design: Choosing among five approaches. Sage publications.
Cruz, F., García I., Martínez, J.A, Ruiz, A., Ruiz, P.M., Sánchez, A.& Turró, C. (2024). La inteligencia artificial generativa en la docencia universitaria Oportunidades, desafíos y recomendaciones. Crue Universidades españolas.
FitzPatrick, D., Fox, A. & Weinstein, B. (2023). The ultimate guide to Artificial Intelligence in Education. Edición Kindle. ISBN: 978-1959419112.
Flaminio, T, & Godó, L. (2023). ¿Qué lógica hay tras un LLM? EduCaixa. Recuperado el 23 de junio, 2024 de: https://educaixa.org/documents/10180/83531196/scroll_Guia-logica-LLM+02_educaixa_ESP.pdf/33c5520c-2964-0640-1a75-526feac1e317?t=1700585954186.
Gallent-Torres, C., Zapata-González, A., & Ortego-Hernando, J. L. (2023). El impacto de la inteligencia artificial generativa en educación superior: una mirada desde la ética y la integridad académica. RELIEVE. Revista Electrónica De Investigación Y Evaluación Educativa, 29(2), 1-21. doi: 10.30827/relieve.v29i2.29134.
Hernández, M. A. S., Alarcón, G. J. M., Leal, H. V., Chua, J. H., & Niño, U. A. F. (2024). El uso del prompt de ChatGPT como asistente en la educación. RIDE Revista Iberoamericana Para La Investigación Y El Desarrollo Educativo, 14(28). doi: 10.23913/ride.v14i28.1872.
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., & Hüllermeier, E. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. doi: 10.1016/j.lindif.2023.102274.
Kroff, F.J., Coria, D.F. & Ferrada, C. A. (2024). Inteligencia Artificial en la educación universitaria: Innovaciones, desafíos y oportunidades. Revista Espacios Vol. 45 (05) Art. 9. doi: 10.48082/espacios-a24v45n05.
Liang, W., Yuksekgonul, M., Mao, Y., Wu, E., & Zou, J. (2023). GPT detectors are biased against non-native English writers. Patterns, 4(7). doi: 10.1016/j.patter.2023.100779.
Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4), 410. doi: 10.3390/educsci13040410.
Luckin, R., & Cukurova, M. (2019). Designing educational technologies in the age of AI: A learning sciences-driven approach. British Journal of Educational Technology, 50(6), 2824-2838. doi: 10.1111/bjet.12861.
Martínez-Carrera, S., Sánchez-Martínez, C., & Raña-Veloso, P. (2024). Uso de las TIC por alumnado de aula hospitalaria: Un estudio de caso. Edutec, Revista Electrónica de Tecnología Educativa, (89), 156-173.
Mikolosko, L. (2023). AI: Artificial Intelligence or Academic Indolence? First Class: A Journal of First-Year Composition, 2022(1), 5. Recuperado el 17 de junio, 2024 de: https://dsc.duq.edu/cgi/viewcontent.cgi?article=1059&context=first-class.
Mogavi, R. H., Deng, C., Kim, J. J., Zhou, P., Kwon, Y. D., Metwally, A. H. S., Tlili, A., Bassanelli, S., Bucchiarone, A., & Gujar, S. (2024). ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions. Computers in Human Behavior: Artificial Humans, 2(1), 100027. doi: 10.1016/j.chbah.2023.100027.
Nguyen, Q. H. (2023). AI and Plagiarism: Opinion from Teachers, Administrators and Policymakers. Paper presented at the Proceedings of the AsiaCALL International Conference, 4 75-85. doi: 10.54855/paic.2346.
Niloy, A. C., Bari, M. A., Sultana, J., Chowdhury, R., Raisa, F. M., Islam, A., Mahmud, S., Jahan, I., Sarkar, M., & Akter, S. (2024). Why do students use ChatGPT? Answering through a triangulation approach. Computers and Education: Artificial Intelligence, 6, 100208. doi: 10.1016/j.caeai.2024.100208.
Pathan, A., Kanth, A. A., & Pathan, A.Impact of Artificial Intelligence (AI) on the Education and Cognitive Development of Young Children. ISSN: 2456-2165.
Richau, A (2025). Guía completa de ingeniería de prompts. Recuperado el 11 de enero, 2025 de https://antonio-richaud.com/biblioteca/archivo/guia-prompts/guia-prompts.html.
Rivera-Vargas, P., & Romani, C. (2019). The university in the digital society: between the analogic heritage and the socialization of knowledge, Redu-Revista de Docencia Universitaria, 17, 17-32. doi: 10.4995/redu.2019.11276.
Smith, P. R. (2018). Collecting sufficient evidence when conducting a case study. The Qualitative Report, 23(5), 1043-1048.
Sullivan, M., Kelly, A., & McLaughlan, P. (2023). ChatGPT in higher education: Considerations for academic integrity and student learning. doi: 10.37074/jalt.2023.6.1.17.
Susnjak, T. (2022). ChatGPT: The end of online exam integrity? arXiv Preprint arXiv:2212.09292. doi: 10.48550/arXiv.2212.09292.
Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang,
B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1), 15. doi: 10.1186/s40561-023-00237-x
Uzun, L. (2023). ChatGPT and academic integrity concerns: Detecting artificial intelligence generated content. Language Education and Technology, 3(1).
Vera, F. (2023). Integración de la Inteligencia Artificial en la Educación superior: Desafíos y oportunidades. Transformar, 4(1), 17-34.
Walter, Y. (2024). Embracing the future of Artificial Intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education. International Journal of Educational Technology in Higher Education, 21(1), 15. doi: /10.1186/s41239-024-00448-3.
Yu, J., Kim, H., Zheng, X., Li, Z., & Zhu, X. (2024). Effects of scaffolding and inner speech on learning motivation, flexible thinking and academic achievement in the technology-enhanced learning environment. Learning and Motivation, 86, 101982.
Zhang, P., & Tur, G. (2023). A systematic review of ChatGPT use in K-12 education. European Journal of Education. doi: 10.1111/ejed.12599.

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright (c) 2026 Behanomics