Universidad 5.0
Inteligencia Artificial, Neuroeducación e Innovación para Transformar el Aprendizaje
DOI:
https://doi.org/10.63816/4xa5c409Palabras clave:
Universidad 5.0 , Inteligencia artificial , Neuroeducación , Innovación educativa , Transformación digitalResumen
La obra analiza la transición de la educación superior hacia el nuevo paradigma de la "Universidad 5.0", centrándose en la integración de la inteligencia artificial, la neuroeducación y la innovación tecnológica. El libro explora cómo las herramientas inteligentes y el conocimiento sobre el cerebro y el aprendizaje pueden transformar los modelos de enseñanza, la investigación científica y la gestión institucional. Subraya la necesidad de mantener un enfoque centrado en el ser humano, promoviendo el pensamiento crítico, la autorregulación, la ética algorítmica y la responsabilidad social para formar profesionales capaces de afrontar escenarios emergentes.
Referencias
Abdelrahman, G., Wang, Q., & Nunes, B. P. (2025). A systematic review of intelligent and robot tutoring systems: Evolution, pedagogical design, and AI-driven classification. Smart Learning Environments.
Alfredo, R., Echeverria, V., Jin, Y., Yan, L., Swiecki, Z., Gašević, D., & Martinez-Maldonado, R. (2024). Human-centred learning analytics and AI in education: A systematic literature review. Computers and Education: Artificial Intelligence, 6, 100215. https://doi.org/10.1016/j.caeai.2024.100215 DOI: https://doi.org/10.1016/j.caeai.2024.100215
Atchley, P., Pannell, H., Wofford, K., Hopkins, M., & Atchley, R. A. (2024). Human and AI collaboration in the higher education environment: Opportunities and concerns. Cognitive Research: Principles and Implications, 9, 20. https://doi.org/10.1186/s41235-024-00547-9 DOI: https://doi.org/10.1186/s41235-024-00547-9
Baranova, S. (2024). Artificial intelligence for higher education: Benefits and challenges for pre-service teachers. Frontiers in Education, 9, 1501819. DOI: https://doi.org/10.3389/feduc.2024.1501819
Bhullar, P. S., Joshi, M., & Chugh, R. (2024). ChatGPT in higher education: A synthesis of the literature and a future research agenda. Education and Information Technologies, 29, 21501–21522. https://doi.org/10.1007/s10639-024-12723-x DOI: https://doi.org/10.1007/s10639-024-12723-x
Bisri, A., Putri, A., & Rosmansyah, Y. (2023). A systematic literature review on digital transformation in higher education: Revealing key success factors. International Journal of Emerging Technologies in Learning (iJET), 18(14), 164–187. https://doi.org/10.3991/ijet.v18i14.40201 DOI: https://doi.org/10.3991/ijet.v18i14.40201
Bond, M., Khosravi, H., De Laat, M., Bergdahl, N., Negrea, V., Oxley, E., Pham, P., Chong, S. W., & Siemens, G. (2024). A meta systematic review of artificial intelligence in higher education: A call for increased ethics, collaboration, and rigour. International Journal of Educational Technology in Higher Education, 21, 4. https://doi.org/10.1186/s41239-023-00436-z DOI: https://doi.org/10.1186/s41239-023-00436-z
Brown, S. B. R. E. (2023). The persistence of matching teaching and learning styles: A review of the ubiquity of this neuromyth, predictors of its endorsement, and recommendations to end it. Frontiers in Education, 8, 1147498. https://doi.org/10.3389/feduc.2023.1147498 DOI: https://doi.org/10.3389/feduc.2023.1147498
Camacho Marín, R. J., Colcha Pérez, J. R., & Cadena Heredia, V. F. (2026a). Revolución neurocognitiva: Desbloqueando el poder oculto de la mente. Revista Multidisciplinar Ciencia y Descubrimiento, 4(3). https://doi.org/10.63816/n3ks7p94 DOI: https://doi.org/10.63816/n3ks7p94
Camacho Marín, R. J., Espada Leyton, X. G., Paravicini Zarate, C. E., & Delgado Herrera, E. G. (2026b). Neuropedagogía digital: El nuevo mapa del aprendizaje humano. Revista Multidisciplinar Ciencia y Descubrimiento, 4(3). https://doi.org/10.63816/b89sqx78 DOI: https://doi.org/10.63816/b89sqx78
Carbone, J., & Diekelmann, S. (2024). An update on recent advances in targeted memory reactivation during sleep. npj Science of Learning, 9, 31. DOI: https://doi.org/10.1038/s41539-024-00244-8
Castillo-Martínez, I. M., Flores-Bueno, D., Gómez-Puente, S. M., & Vite-León, V. O. (2024). AI in higher education: A systematic literature review. Frontiers in Education, 9, 1391485. https://doi.org/10.3389/feduc.2024.1391485 DOI: https://doi.org/10.3389/feduc.2024.1391485
Delcker, J., Heil, J., Ifenthaler, D., Seufert, S., & Spirgi, L. (2024). First-year students AI-competence as a predictor for intended and de facto use of AI-tools for supporting learning processes in higher education. International Journal of Educational Technology in Higher Education, 21, 18. DOI: https://doi.org/10.1186/s41239-024-00452-7
Dörrenbächer-Ulrich, L., & Bregulla, M. (2024). The relationship between self-regulated learning and executive functions—A systematic review. Educational Psychology Review, 36, 95. https://doi.org/10.1007/s10648-024-09932-8 DOI: https://doi.org/10.1007/s10648-024-09932-8
Dörrenbächer-Ulrich, L., Dilhuit, S., & Perels, F. (2024). Investigating the relationship between self-regulated learning, metacognition, and executive functions by focusing on academic transition phases: A systematic review. Current Psychology, 43, 16045–16072. https://doi.org/10.1007/s12144-023-05551-8 DOI: https://doi.org/10.1007/s12144-023-05551-8
Drugova, E., Zhuravleva, I., Zakharova, U., & Latipov, A. (2024). Learning analytics driven improvements in learning design in higher education: A systematic literature review. Journal of Computer Assisted Learning, 40(2), 510–524. https://doi.org/10.1111/jcal.12894 DOI: https://doi.org/10.1111/jcal.12894
Ehlers, U.-D. (2024). Towards a future skills framework for higher education. En U.-D. Ehlers & L. Eigbrecht (Eds.), Creating the university of the future: A global view on future skills and future higher education. Springer. DOI: https://doi.org/10.1007/978-3-658-42948-5
Farias-Gaytan, S., Aguaded, I., & Ramirez-Montoya, M.-S. (2023). Digital transformation and digital literacy in the context of complexity within higher education institutions: A systematic literature review. Humanities and Social Sciences Communications, 10, 386. https://doi.org/10.1057/s41599-023-01875-9 DOI: https://doi.org/10.1057/s41599-023-01875-9
Fernández, A., Gómez, B., Binjaku, K., & Meçe, E. K. (2023). Digital transformation initiatives in higher education institutions: A multivocal literature review. Education and Information Technologies, 28, 12351–12382. https://doi.org/10.1007/s10639-022-11544-0 DOI: https://doi.org/10.1007/s10639-022-11544-0
Gordon, R., Ferreira, R. A., Rodriguez, C., & Tolmie, A. (2024). Editorial: Educational neuroscience: Key processes and approaches to measurement. Frontiers in Psychology, 14, 1342147. https://doi.org/10.3389/fpsyg.2023.1342147 DOI: https://doi.org/10.3389/fpsyg.2023.1342147
Gudoniene, D., Staneviciene, E., Huet, I., Dickel, J., Dieng, D., Degroote, J., Rocio, V., Butkiene, R., & Casanova, D. (2025). Hybrid teaching and learning in higher education: A systematic literature review. Sustainability, 17(2), 756. https://doi.org/10.3390/su17020756 DOI: https://doi.org/10.3390/su17020756
Güneş, A., & Liman Kaban, A. (2025). A Delphi study on ethical challenges and ensuring academic integrity regarding AI research in higher education. Higher Education Quarterly, 79(4), e70057. https://doi.org/10.1111/hequ.70057 DOI: https://doi.org/10.1111/hequ.70057
Husic, D. W. (2024). Reframing sustainability initiatives in higher education. Sustainable Earth Reviews, 7, 5. DOI: https://doi.org/10.1186/s42055-024-00076-9
Lin, C.-C., Huang, A. Y. Q., & Lu, O. H. T. (2023). Artificial intelligence in intelligent tutoring systems toward sustainable education: A systematic review. Smart Learning Environments, 10, 41. https://doi.org/10.1186/s40561-023-00260-y DOI: https://doi.org/10.1186/s40561-023-00260-y
López Regalado, O., Núñez-Rojas, N., López Gil, O. R., & Sánchez-Rodríguez, J. (2024). El análisis del uso de la inteligencia artificial en la educación universitaria: Una revisión sistemática. Pixel-Bit. Revista de Medios y Educación, 70, 97–122. https://doi.org/10.12795/pixelbit.106336 DOI: https://doi.org/10.12795/pixelbit.106336
Mah, D.-K., & Groß, N. (2024). Artificial intelligence in higher education: Exploring faculty use, self-efficacy, distinct profiles, and professional development needs. International Journal of Educational Technology in Higher Education, 21, 58. https://doi.org/10.1186/s41239-024-00490-1 DOI: https://doi.org/10.1186/s41239-024-00490-1
Márquez, L., Henríquez, V., Chevreux, H., Scheihing, E., & Guerra, J. (2024). Adoption of learning analytics in higher education institutions: A systematic literature review. British Journal of Educational Technology, 55(2), 439–459. https://doi.org/10.1111/bjet.13385 DOI: https://doi.org/10.1111/bjet.13385
Melo, A. A., & Rodrigues. (2026). Emotion, affectivity, and learning: An integrative neuroeducational framework for cognitive regulation. Frontiers in Education.
Miller, J. A., & Constantinidis, C. (2024). Timescales of learning in prefrontal cortex. Nature Reviews Neuroscience, 25, 597–610. https://doi.org/10.1038/s41583-024-00836-8 DOI: https://doi.org/10.1038/s41583-024-00836-8
Naveh-Benjamin, M., & Cowan, N. (2023). The roles of attention, executive function and knowledge in cognitive ageing of working memory. Nature Reviews Psychology, 2, 151–165. https://doi.org/10.1038/s44159-023-00149-0 DOI: https://doi.org/10.1038/s44159-023-00149-0
Păunescu, C., & McDonnell-Naughton, M. (2024). Education for future skills development: Cognitive, collaborative and ethical skills. En U.-D. Ehlers & L. Eigbrecht (Eds.), Creating the university of the future. Springer. DOI: https://doi.org/10.1007/978-3-658-42948-5_12
Paulsen, L., & Lindsay, E. (2024). Learning analytics dashboards are increasingly becoming about learning and not just analytics: A systematic review. Education and Information Technologies, 29, 14279–14308. https://doi.org/10.1007/s10639-023-12401-4 DOI: https://doi.org/10.1007/s10639-023-12401-4
Pradeep, K., Sulur Anbalagan, R., Thangavelu, A. P., Aswathy, S., Jisha, V. G., & Vaisakhi, V. S. (2024). Neuroeducation: Understanding neural dynamics in learning and teaching. Frontiers in Education, 9, 1437418. https://doi.org/10.3389/feduc.2024.1437418 DOI: https://doi.org/10.3389/feduc.2024.1437418
Reddig, J. M., Arora, A., & MacLellan, C. J. (2025). Generating in-context, personalized feedback for intelligent tutors with large language models. International Journal of Artificial Intelligence in Education, 35, 3459–3500. https://doi.org/10.1007/s40593-025-00505-6 DOI: https://doi.org/10.1007/s40593-025-00505-6
Santana, A. L. M., & Lopes, R. de D. (2024). Using real-world problems and project-based learning for future skill development: An approach to connect higher education students and society through user-centered design. En U.-D. Ehlers & L. Eigbrecht (Eds.), Creating the university of the future. Springer. DOI: https://doi.org/10.1007/978-3-658-42948-5_20
Stojanov, A., & Daniel, B. K. (2024). A decade of research into the application of big data and analytics in higher education: A systematic review of the literature. Education and Information Technologies, 29, 5807–5831. https://doi.org/10.1007/s10639-023-12033-8 DOI: https://doi.org/10.1007/s10639-023-12033-8
Torres-Diaz, J. C., Duart, J., Rivera, D., & Beltran Flandoli, A. (2025). Artificial intelligence and academic integrity: Exploring plagiarism in Ecuadorian universities. International Journal for Educational Integrity, 21, 35. https://doi.org/10.1007/s40979-025-00209-3 DOI: https://doi.org/10.1007/s40979-025-00209-3
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, 15. https://doi.org/10.1186/s41239-024-00448-3 DOI: https://doi.org/10.1186/s41239-024-00448-3
Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., & Du, Z. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems with Applications, 252, 124167. https://doi.org/10.1016/j.eswa.2024.124167 DOI: https://doi.org/10.1016/j.eswa.2024.124167
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Derechos de autor 2026 Gómez Rivero Jesús Orlando, Delgado Herrera Edwin Giovanny, Llano Escobar Natalia Elizabeth, Barreno Riera Marco Polo (Autor/a)
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
Esta obra está bajo una licencia internacional Creative Commons Atribución-Compartir Igual 4.0.
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