A Methodological Alternative for Integrating Generative Artificial Intelligence into Nursing Research Education
DOI:
https://doi.org/10.62452/3d9dam55Abstract
Teaching Nursing Research Methodology faces challenges related to the understanding of abstract concepts, scientific writing, and project formulation. Given this reality, generative Artificial Intelligence (AI), such as ChatGPT, emerges as an innovative teaching tool that can strengthen students' research skills, provided its use is guided, ethical, and critical. This article explores the impact and potential of generative Artificial Intelligence (AI), with an emphasis on tools such as ChatGPT, in the study of Research Methodology among nursing students at Higher Technological Institutes. Based on a review of recent background information in Ecuador, Latin America, the United States, and Europe, the article identifies trends, challenges, and opportunities in incorporating these technologies into educational contexts. Furthermore, an innovative methodological alternative is proposed for use in research methodology classes, with the aim of enhancing the research culture and understanding of future nursing professionals.
Downloads
References
Albán-Sabando, E. A. (2024). Innovación en la práctica enfermera: nuevas tecnologías para el cuidado del paciente. Sophia Research Review, 1(1), 10-14. https://doi.org/10.64092/52vny797
Alkaabi, A. M., Abdallah, A. K., Alblooshi, S., Alomari, F., & Alneaimi, S. (2025). ChatGPT in higher education: Opportunities, challenges, and required competencies in the absence of guiding policies. Journal of Education and e-Learning Research, 12(2), 153–164. https://doi.org/10.20448/jeelr.v12i2.6746
Cotton, D., Cotton, P. A., & Shipway, J. R. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. https://doi.org/10.35542/osf.io/mrz8h
Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3.ª ed.). SAGE Publications.
García-Mc Collins, M. del P. (2025). Innovación en la práctica de enfermería: implementando nuevas tecnologías y enfoques para mejorar la atención al paciente. Sophia Research Review, 2(3), 15-19. https://doi.org/10.64092/388she15
García-Peñalvo, F. J. (2023). La percepción de la Inteligencia Artificial en contextos educativos tras el lanzamiento de ChatGPT: disrupción o pánico. Education in the Knowledge Society (EKS), 24, e31279. https://doi.org/10.14201/eks.31279
Hernández Sampieri, R., Fernández Collado, C., & Baptista Lucio, P. (2014). Metodología de la investigación (6.ª ed.). McGraw-Hill.
Lifshits, I., & Rosenberg, D. (2024). Artificial intelligence in nursing education: A scoping review. Nurse education in practice, 80, 104148. https://doi.org/10.1016/j.nepr.2024.104148
Mertens, D. M. (2015). Research and evaluation in education and psychology: Integrating diversity with quantitative, qualitative, and mixed methods (4.ª ed.). SAGE Publications.
Niño-Carrasco, S. A., Castellanos-Ramírez, J. C., Perezchica Vega, J. E., & Sepúlveda Rodríguez, J. A. (2025). Percepciones de estudiantes universitarios sobre los usos de inteligencia artificial en educación. Revista Fuentes, 27(1), 94–106. https://doi.org/10.12795/revistafuentes.2025.26356
Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura. (2023). Guidance for generative AI in education and research. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000386693
Sallam, M. (2023). ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns. Healthcare (Basel, Switzerland), 11(6), 887. https://doi.org/10.3390/healthcare11060887
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Domingo Curbeira-Hernández, Gilberto Suárez-Suárez, Roger Martínez-Isaac, Rosangela Caicedo-Quiroz (Autor/a)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who publish in Revista Metropolitana de Ciencias Aplicadas (REMCA), agree to the following terms:
1. Copyright
Authors retain unrestricted copyright to their work. Authors grant the journal the right of first publication. To this end, they assign the journal non-exclusive exploitation rights (reproduction, distribution, public communication, and transformation). Authors may enter into additional agreements for the non-exclusive distribution of the version of the work published in the journal, provided that acknowledgment of its initial publication in this journal is given.
© The authors.
2. License
The articles are published in the journal under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). The terms can be found at: https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en
This license allows:
- Sharing: Copying and redistributing the material in any medium or format.
- Adapting: Remixing, transforming, and building upon the material.
Under the following terms:
- Attribution: You must give appropriate credit, provide a link to the license, and indicate if any changes were made. You may do this in any reasonable manner, but not in any way that suggests the licensor endorses or sponsors your use.
- NonCommercial: You may not use the material for commercial purposes.
- ShareAlike: If you remix, transform, or build upon the material, you must distribute your creation under the same license as the original work.
There are no additional restrictions. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
