Inteligencia artificial educativa y gobernanza. Enfoque ético normativo en el contexto universitario
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https://doi.org/10.35381/e.k.v9i17.4987Palabras clave:
Inteligencia artificial, gobernanza universitaria, ética, educación superior, regulación tecnológica, (Tesauro UNESCO).Resumen
La inteligencia artificial (IA) en la educación superior enfrenta desafíos como la gobernanza, la ética y las normativas. El objetivo de la investigación fue proponer un modelo conceptual que oriente la implementación de la inteligencia artificial educativa y la gobernanza universitaria desde un enfoque ético-normativo. Se realizó una revisión de la literatura científica de los últimos siete años en bases de datos indexadas. Se identificaron cuatro ejes: gobernanza institucional, ética y sesgos algorítmicos, integridad académica y evaluación, y alfabetización en IA. Aunque la IA ofrece oportunidades para la personalización del aprendizaje y mejorar los procesos educativos, existen riesgos asociados con la privacidad, la equidad e integridad académica. Como aporte, se plantea un modelo de gobernanza estructurado en dimensiones normativa, organizacional, pedagógica y formativa, articuladas por principios de supervisión humana y participación. Se concluye que su implementación requiere enfoques sistémicos que integren regulación, pedagogía y desarrollo de competencias críticas.
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Ajjawi, R., Tai, J., Dollinger, M., Dawson, P., Boud, D., & Bearman, M. (2024). From authentic assessment to authenticity in assessment: broadening perspectives. Assessment & Evaluation in Higher Education, 49(4), 499-510. https://doi.org/10.1080/02602938.2023.2271193
Baldassarre, M. T., Caivano, D., Fernández Nieto, B., Gigante, D., & Ragone, A. (2023, September). The social impact of generative AI: An analysis on ChatGPT. In Proceedings of the 2023 ACM Conference on Information Technology for Social Good (pp. 363-373). https://dl.acm.org/doi/abs/10.1145/3582515.3609555
Batista, J., Mesquita, A., & Carnaz, G. (2024). Generative AI and higher education: Trends, challenges, and future directions from a systematic literature review. Information, 15(11), 676. https://doi.org/10.3390/info15110676
Batool, A., Zowghi, D., & Bano, M. (2023). Responsible AI governance: a systematic literature review. arXiv preprint arXiv:2401.10896. https://doi.org/10.48550/arXiv.2401.10896
Booth, A., Sutton, A., & Papaioannou, D. (2021). Systematic approaches to a successful literature review (3rd ed.). SAGE Publications. https://www.torrossa.com/it/resources/an/5282271
Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1), 43. https://doi.org/10.1186/s41239-023-00411-8
Chen, X., Zou, D., Xie, H., Cheng, G., & Liu, C. (2022). Two Decades of Artificial Intelligence in Education: Contributors, Collaborations, Research Topics, Challenges, and Future Directions. Educational Technology & Society, 25(1), 28–47. https://www.jstor.org/stable/48647028
Chiu, T. K. (2024). Future research recommendations for transforming higher education with generative AI. Computers and education: Artificial intelligence, 6, 100197. https://doi.org/10.1016/j.caeai.2023.100197
Cotton, D. R. E., Cotton, P. A., & 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
Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: the state of the field. International Journal of Educational Technology in Higher Education, 20(1), 1-22. https://doi.org/10.1186/s41239-023-00392-8
Dabbagh, N., Zgheib, G. (2026). Using Generative AI to Personalize Teaching and Learning in Higher Education Contexts. In: Badran, A., Baydoun, E., Hillman, S., Mesmar, J. (eds.) Higher Education in the Arab World. Springer, Cham. https://doi.org/10.1007/978-3-031-99068-7_2
Dawson, P. (2022). Inclusion, cheating, and academic integrity: Validity as a goal and a mediating concept. In Assessment for Inclusion in higher education (pp. 110-119). Routledge. https://n9.cl/b54vc
Eaton, S. E. (2023). Academic integrity in the age of artificial intelligence. https://ucalgary.scholaris.ca/items/2faa48ce-21be-456e-b97f-76ac361d0b85
Corrêa, N. K., Galvão, C. T., & Santos, J. W. (2023). Worldwide AI ethics: A review of 200 guidelines and recommendations for AI governance. Patterns, 4(10), 100857. https://doi.org/10.1016/j.patter.2023.100857
Holmes, W., & Tuomi, I. (2022). State of the art and practice in AI in education. European Journal of Education, 57(4), 542-570. https://doi.org/10.1111/ejed.12533
Huang, J., Saleh, S., & Liu, Y. (2021). A review on artificial intelligence in education. Academic Journal of Interdisciplinary Studies, 10(3). https://doi.org/10.36941/ajis-2021-0077
Jobin, A., Ienca, M., & Vayena, E. (2021). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399. https://doi.org/10.1038/s42256-019-0088-2
Kaşarcı, İ., Demircan, Z. A., Ercan, G. Ç., & İnci, T. (2025). Managing artificial intelligence ethics in higher education: A systematic framework for issues and policy recommendations. International Journal of Current Educational Studies, 4(2), 112-137. https://doi.org/10.46328/ijces.223
Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 100020. https://doi.org/10.1016/j.caeai.2021.100020
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Saaida, M. B. (2023). AI-Driven Transformations in Higher Education: Opportunities and challenges. International Journal of Educational Research and Studies, 5(1), 29-36. https://n9.cl/9huwb
Selvaratnam, R., & Venaruzzo, L. (2024). Human-centered approach to the governance of AI in higher education: principles of international practice. Journal of Ethics in Higher Education, 5, 79-102. https://doi.org/10.26034/fr.jehe.2024.6864
Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
Sok, S., & Heng, K. (2024). Opportunities, challenges, and strategies for using ChatGPT in higher education: A literature review. Journal of Digital Educational Technology, 4(1), ep2401. https://doi.org/10.30935/jdet/14027
Sullivan, M., Kelly, A., & McLaughlan, P. (2023). ChatGPT in higher education: Considerations for academic integrity and student learning. Journal of Applied Learning & Teaching, 6(1), 31–40. https://search.informit.org/doi/10.3316/informit.T2025102700000291759377835
UNESCO. (2021). Recommendation on the ethics of artificial intelligence. UNESCO Publishing. https://unesdoc.unesco.org/ark:/48223/pf0000373434
Vorobyeva, K. I., Belous, S., Savchenko, N. V., Smirnova, L. M., Nikitina, S. A., & Zhdanov, S. P. (2025). Personalized Learning through AI: Pedagogical Approaches and Critical Insights. Contemporary Educational Technology, 17(2). https://doi.org/10.30935/cedtech/16108
Williamson, B., Komljenovic, J., & Gulson, K. N. (2023). Introduction: Digitalization of education in the era of algorithms, automation and artificial intelligence. In World Yearbook of Education 2024 (pp. 1-19). Routledge. https://n9.cl/470vj
Zawacki-Richter, O., Marin, V., Bond, M., & Gouverneur, F. (2020). Einsatzmöglichkeiten künstlicher Intelligenz in der Hochschulbildung — Ausgewählte Ergebnisse eines Systematic Review. Digitale Bildung und Künstliche Intelligenz in Deutschland: Nachhaltige Wettbewerbsfähigkeit und Zukunftsagenda, 501-517. https://doi.org/10.1007/978-3-658-30525-3_21
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Derechos de autor 2026 Menfis del Carmen Álvarez-Núñez, Menphis Desiree Vásquez-Álvarez, Claudia Patricia Caballero-de Lamarque, Juan Carlos Lázaro-Guillermo
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