La ética en la Inteligencia artificial en el desarrollo de competencias investigativas en estudiantes universitarios
DOI:
https://doi.org/10.31637/epsir-2025-2015Parole chiave:
inteligencia aritificial, Ética en IA, Competencias investigativas, Pensamiento crítico, estudiantes universitarios, educación superior, crítico, beneficiosAbstract
L'intelligenza artificiale (IA) si è rivelata uno strumento innovativo nel campo della ricerca, soprattutto per gli studenti universitari, grazie ai vantaggi che offre, come la facilità di raccolta dei dati, la sintesi dei risultati, ecc. Tuttavia, questo importante sviluppo pone sfide etiche e un declino delle capacità investigative. Metodologia: la metodologia utilizzata è stata un approccio qualitativo e un disegno fenomenologico, mentre lo strumento impiegato è stata un'intervista semi-strutturata, applicata a un campione di 11 studenti universitari universitari in scienze sociali e economia, analizzando le loro esperienze per ottenere risultati. Risultati: I risultati evidenziano i notevoli vantaggi che questo strumento apporta alla raccolta di informazioni e dati, ma riflettono anche sfiducia nei risultati e paura della dipendenza dall'intelligenza artificiale. Discussione: Vengono confermate diverse idee che evidenziano i vantaggi e gli svantaggi dell'IA, evidenziando inoltre la necessità di una guida nella gestione dell'IA. Conclusioni: si conclude che l'intelligenza artificiale è uno strumento prezioso nell'istruzione superiore, ma il suo utilizzo deve essere integrato da strategie pedagogiche che promuovano il pensiero critico e la responsabilità etica.
Downloads
Riferimenti bibliografici
Ballesteros-Aguayo, L. y Ruiz del Olmo, F. J. (2024). Vídeos falsos y desinformación ante la IA: el deepfake como vehículo de la posverdad. Revista de Ciencias de la Comunicación e Información, 29, 1-14. https://doi.org/10.35742/rcci.2024.29.e294 DOI: https://doi.org/10.35742/rcci.2024.29.e294
Barrientos-Báez, A., Caldevilla-Domínguez, D. y García Guirao, P. (2024). Neurocomunicación en la educación: un estudio teórico con la perspectiva de la nueva experiencia en inteligencia artificial. En M. Navarro-Granados, N. Pelícano Piris, J. Palenzuela-Bautista y A. Rosa Granda Piñán (coords.), Investigación en escenarios formativos y conocimiento abierto en acción (pp. 66-76). Dykinson.
Bermeo-Paucar, J., Pérez-Martínez, L. y Villalobos Antúnez, J. V. (2024). Inteligencia Artificial Educativa. “Quinta ola”, Conectivismo e Innovación Digital Pedagógica. European Public & Social Innovation Review, 9, 1–17. https://doi.org/10.31637/epsir-2024-1599 DOI: https://doi.org/10.31637/epsir-2024-1599
Carrión Salinas, G. y Andrade-Vargas, L. (2024). Los desafíos de la Inteligencia Artificial en la educación en un mundo tecnologizado. European Public & Social Innovation Review, 9, 1–15. https://doi.org/10.31637/epsir-2024-905 DOI: https://doi.org/10.31637/epsir-2024-905
Casado Márquez, E. (2024). MoPI.IA: explorando la utilidad de la IA generativa para la ideación de proyectos de tesis. European Public & Social Innovation Review, 9, 1–20. https://doi.org/10.31637/epsir-2024-804 DOI: https://doi.org/10.31637/epsir-2024-804
Chung, L. (2023). What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature. Education Sciences, 13(4), 410. https://doi.org/10.3390/educsci13040410 DOI: https://doi.org/10.3390/educsci13040410
Cotton, D. R. E., Cotton, P. A. y Shipway, J. R. (2024). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61(2), 228-239. https://doi.org/10.1080/14703297.2023.2190148 DOI: https://doi.org/10.1080/14703297.2023.2190148
Cruz Romero, R., Silva Payro, M. P. y Mena de la Rosa, R. (2024). Nivel de adopción y comprensión de asistentes de inteligencia artificial por estudiantes de tecnologías de la información en una universidad del sureste de México. European Public & Social Innovation Review, 9, 1–18. https://doi.org/10.31637/epsir-2024-765 DOI: https://doi.org/10.31637/epsir-2024-765
Gimeno, V. y Trigo, C. (2024). The role of artificial intelligence in scientific publishing: Perspectives from Hospital Pharmacy. Farmacia Hospitalaria. 48(5). 246-251. https://doi.org/10.1016/j.farma.2024.06.002 DOI: https://doi.org/10.1016/j.farma.2024.07.009
Holt, N. M. y Byrne, M. F. (2024). The Role of Artificial Intelligence and Big Data for Gastrointestinal Disease. Gastrointestinal Endoscopy Clinics of North America. 35(2), 291-308. https://doi.org/10.1016/j.giec.2024.09.004 DOI: https://doi.org/10.1016/j.giec.2024.09.004
Lifshits, I. y Rosenberg, D. (2024). Artificial intelligence in nursing education: A scoping review. Nurse Education in Practice, 80, 104-148. https://doi.org/10.1016/j.nepr.2024.104148 DOI: https://doi.org/10.1016/j.nepr.2024.104148
Martínez-Miguélez, M. (2004). Ciencia y arte en la metodología cualitativa. Trillas.
McGrath, C., Cerratto Pargman, T., Juth, N. y Palmgren, P. J. (2023). University teachers’ perceptions of responsibility and artificial intelligence in higher education—An experimental philosophical study. Computers and Education: Artificial Intelligence, 4, 100-139. https://doi.org/10.1016/j.caeai.2023.100139 DOI: https://doi.org/10.1016/j.caeai.2023.100139
Obregón, B., Mendoza, M., Alves, A. y Andramuño, M. (2024). Desarrollo profesional en docentes de Pedagogía de las Artes y Humanidades de la Universidad Nacional de Chimborazo. Revista Imaginario Social, 7(2), 39-60. https://doi.org/10.59155/is.v7i2.171 DOI: https://doi.org/10.59155/is.v7i2.171
Paley, J. (1997). Husserl, phenomenology and nursing. Journal of Advanced Nursing, 26(1), 187-193. https://doi.org/10.1046/j.1365-2648.1997.1997026187.x DOI: https://doi.org/10.1046/j.1365-2648.1997.1997026187.x
Rizzo, G. y Osorio, A. (2024). Estudio cualitativo para evaluar las competencias científicas e investigativas en estudiantes normalistas, a través del uso de inteligencias artificiales. Revista de Investigación Multidisciplinaria Iberoamericana, RIMI, 2(3), 1-10. https://doi.org/10.69850/rimi.vi3.85 DOI: https://doi.org/10.69850/rimi.vi3.85
Rudolph, J., Tan, S. y Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning & Teaching, 6(1). https://doi.org/10.37074/jalt.2023.6.1.9 DOI: https://doi.org/10.37074/jalt.2023.6.1.9
Stojanov, A., Liu, Q. y Koh, J. H. L. (2024). University students’ self-reported reliance on ChatGPT for learning: A latent profile analysis. Computers and Education: Artificial Intelligence, 6(4), 100243. https://doi.org/10.1016/j.caeai.2024.100243 DOI: https://doi.org/10.1016/j.caeai.2024.100243
Solís Toscano, J. (2024). Impacto de la IA en las competencias investigativas de los estudiantes de la ESGE: un estudio innovador. Revista Científica de la Escuela Superior de Guerra del Ejército, 3(1), 35-43. https://doi.org/10.60029/rcesge.v3i1art3 DOI: https://doi.org/10.60029/rcesge.v3i1art3
Zawacki-Richter, O., Marín, V. I., Bond, M. y Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0 DOI: https://doi.org/10.1186/s41239-019-0171-0
Downloads
Pubblicato
Come citare
Fascicolo
Sezione
Licenza
Copyright (c) 2025 Diego Jesús Mamani Quispe, Erick Armando Lazarte Vera, Manuel Marco Higueras Matos, Jamaica Pennsylvania Moscoso Barrios

Questo lavoro è fornito con la licenza Creative Commons Attribuzione - Non commerciale - Non opere derivate 4.0 Internazionale.
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Non Commercial, No Derivatives Attribution 4.0. International (CC BY-NC-ND 4.0.), that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).