Artificial intelligence in the emotional learning of higher education students: a systematic review
DOI:
https://doi.org/10.5281/zenodo.23383679Keywords:
Artificial intelligence, emotional learning, university studentsAbstract
Artificial intelligence (AI) in higher education is essential, as it contributes to well-being and the personalization of emotional learning, in addition to adapting the educational process. It enables the detection of emotions through facial recognition, voice analysis, and natural language processing; however, it presents limitations related to accuracy, bias, privacy, consent, and cultural differences in the assessment of college students’ moods. Its effects on the emotional dimension of learning continue to yield mixed results and require a systematic synthesis of the existing evidence. The present study aims to analyze the scientific evidence on the use of artificial intelligence in the emotional learning of higher education students through a systematic review based on the PRISMA 2020 guidelines. A systematic review method was applied to scientific studies published between 2020 and 2026. Searches and selection based on eligibility criteria were conducted through August 28, 2026, analyzing 29 studies from the Scopus, Web of Science, and SciELO databases that addressed artificial intelligence and emotional learning among higher education students. The results were synthesized and grouped into six categories, which were constructed using a mixed-methods approach: the process began with defined conceptual dimensions, and emerging categories were included during the data extraction process. Four researchers conducted the coding independently and resolved discrepancies through consensus. It is concluded that the scientific evidence suggests that AI can promote emotional learning among higher education students when used as a support tool and with appropriate pedagogical mediation that generates positive emotions in students. However, its potential advantages coexist with risks that may affect autonomy, well-being, and human relationships.
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References
Alfuqaha, O. A., Msall, K., & Abdelrahman, R. M. (2026). Factors associated with artificial intelligence-help-seeking behavior among university students in the UAE: A cross-sectional study. Education Sciences, 16(4), 506. https://doi.org/10.3390/educsci16040506
Alshahrani, B. T., Karimi, F., & Pileggi, S. F. (2026). A social lens on AI in higher education: Perceptions of dehumanization, skill development, and well-being. Discover Education, 5, artículo 482. https://doi.org/10.1007/s44217-026-01458-1
Cabero-Almenara, J., Barroso-Osuna, J., Loaiza Aguirre, M. I., & Palacios-Rodríguez, A. (2026). Artificial intelligence in higher education: Cognitive, emotional, behavioral and ethical attitudes of Latin American students. Journal of New Approaches in Educational Research, 15, artículo 13. https://doi.org/10.1007/s44322-026-00063-2
Cabeza-Rodríguez, M.-Á. (2025). Asistentes ChatGPT en educación superior en línea y satisfacción del alumnado: Un caso de estudio. RIED-Revista Iberoamericana de Educación a Distancia, 28(2), 9–38. https://doi.org/10.5944/ried.28.2.43552
Cortés Pérez, E., Acuña Gamboa, L. A., & Martínez Mendoza, E. (2023). Modelado de un entorno e-Learning adaptativo inteligente analizando estados emocionales en estudiantes universitarios de Oaxaca. LiminaR. Estudios Sociales y Humanísticos, 21(2), e989. https://doi.org/10.29043/liminar.v21i2.989
Estanyol, E., Fernández-Ardèvol, M., López-Borrull, A., Fernández-de-Castro, P., & Costa Gálvez, L. (2025). Perception and use of generative AI among corporate communication students in higher education: Adjusting expectations. Cuadernos.Info, (62), 250–272. https://doi.org/10.7764/cdi.62.89632
Fernández-Prados, J. S., Lozano-Díaz, A., Bellido-Cáceres, J. M., & Martínez-Salvador, I. (2025). Percepciones de la inteligencia artificial en estudiantes universitarios. El rol de la ansiedad tecnológica y las competencias digitales. Formación Universitaria, 18(5), 115–124. https://doi.org/10.4067/S0718-50062025000500115
Flick, U. (2015). El diseño de Investigación Cualitativa. Ediciones Morata. https://edmorata.es/producto/el-diseno-de-la-investigacion-cualitativa/
Galindo-Domínguez, H., Sainz-de-la-Maza, M., Campo, L., & Losada-Iglesias, D. (2026). Influencia de la motivación hacia el aprendizaje y la procrastinación en la dependencia a ChatGPT. RIED-Revista Iberoamericana de Educación a Distancia, 29(1), 217–240. https://doi.org/10.5944/ried.45497
Gao, S. (2024). Can artificial intelligence give a hand to open and distributed learning? A probe into the state of undergraduate students’ academic emotions and test anxiety in learning via ChatGPT. The International Review of Research in Open and Distributed Learning, 25(3), 199–218. https://doi.org/10.19173/irrodl.v25i2.7742
Grimalt-Álvaro, C., & Usart, M. (2024). Sentiment analysis for formative assessment in higher education: A systematic literature review. Journal of Computing in Higher Education, 36, 647–682 https://doi.org/10.1007/s12528-023-09370-5
Guárdia Ortiz, L., Maina, M., Cabrera Lanzo, N., & Fernández-Ferrer, M. (2024). La autorregulación del aprendizaje desde un enfoque de feedback entre pares: Perspectivas de la IA generativa. RED. Revista de Educación a Distancia, 24(78), 2. https://doi.org/10.6018/red.599511
Güngören, Ö. C., Gür Erdoğan, D., & Horzum, M. B. (2026). University students’ acceptance of generative artificial intelligence tools: A mixed-methods study on opinions, attitudes, and behavioral intentions. BMC Psychology, 14, artículo 238. https://doi.org/10.1186/s40359-026-03977-w
Gutiérrez-Castillo, J. J., Romero-Tena, R., & León-Garrido, A. (2025). Beneficios de la inteligencia artificial en el aprendizaje de los estudiantes universitarios: Una revisión sistemática. Edutec. Revista Electrónica de Tecnología Educativa, (91), 185–206. https://doi.org/10.21556/edutec.2025.91.3607
Habibi, A., Muhaimin, M., Danibao, B. K., Wibowo, Y. G., Wahyuni, S., & Octavia, A. (2023). ChatGPT in higher education learning: Acceptance and use. Computers and Education: Artificial Intelligence, 5, 100190. https://doi.org/10.1016/j.caeai.2023.100190
Hernández de la Cruz, J. E., & Castillo Castillo, K. A. (2025). El uso de la revisión sistemática y su importancia en la construcción de la investigación. Universita Ciencia, 13(37), 133–143. https://doi.org/10.5281/zenodo.16543303
Hernández-Sampieri, R. & Mendoza Torres, C.P. (2018). Metodología de la investigación. Las rutas cuantitativa, cualitativa y mixta. Editorial Mc Graw Hill Education. https://books.google.com/books?id=KbtlzwEACAAJ
Infante-Miranda, M. E., Hernández-Infante, R. C., Pupo-Pupo, Y., & Isea-Argüelles, J. J. (2026). La inteligencia artificial. Impacto en el desarrollo de la competencia comunicativa en estudiantes de Educación Superior. Noesis. Revista Electrónica de Investigación, 8(15), 4-20. https://doi.org/10.35381/noesisin.v8i15.683
Kessler, S. H. (2025). Students and ChatGPT: Insights from the University of Zurich. Studies in Communication Sciences, 25(3), 221–234. https://doi.org/10.24434/j.scoms.2025.03.7300
Lagos San Martín, N. G., Anabalón Anabalón, Y. B., Concha Toro, M. del C., & López-López, C. V. (2024). Emotional competences in higher education: a systematic review. Revista Digital de Investigación en Docencia Universitaria, 19(1), e1828. https://doi.org/10.19083/ridu.2025.1828
Lee, S. S., & Moore, R. L. (2024). Harnessing generative AI (GenAI) for automated feedback in higher education: A systematic review. Online Learning, 28(3), 82–104. https://doi.org/10.24059/olj.v28i3.4593
Mammen, A., & Lautre, V. (2025). Report on digital transformation in higher education in South Asia. UNESCO Bangkok & International Centre for Higher Education Innovation under the auspices of UNESCO (UNESCO-ICHEI). https://www.unesco.org/sdg4education2030/en/publication/report-digital-transformation-higher-education-south-asia
Marimon, F., Arias-Valle, M. B., Coria-Augusto, C. J., & Larrea Arnau, C. M. (2025). Del optimismo a la confianza: El impacto de ChatGPT en la confianza de los estudiantes en el aprendizaje asistido por IA. RIED-Revista Iberoamericana de Educación a Distancia, 28(2), 131–153. https://doi.org/10.5944/ried.28.2.43238
Martínez-Rivera, O. (2024). El impacto de la Inteligencia Artificial (IA) en el proceso de enseñanza-aprendizaje de los trabajos en la Universidad. European Public & Social Innovation Review (EPSIR), 9, 1–17. https://doi.org/10.31637/epsir-2024-885
Mena-De la Rosa, R., Cruz-Romero, R., & Silva-Payró, M. P. (2024). Percepción de la inteligencia artificial por estudiantes universitarios como acompañante en el proceso de aprendizaje. European Public & Social Innovation Review (EPSIR), 9, 1–18. https://doi.org/10.31637/epsir-2024-738
Moreno-Montiel, C. H., Miranda-Pérez, M. E., Moreno-Montiel, M. N., & Moreno-Montiel, B. (2025). Percepción de estudiantes universitarios sobre el uso de inteligencias artificiales en su educación. RTED: Revista Tecnológica-Educativa Docentes 2.0, 18(1), 245–257. https://doi.org/10.37843/rted.v18i2.723
Okoli, C. (2015). A guide to conducting a standalone systematic literature review. Communications of the Association for Information Systems, 37, 43. https://doi.org/10.17705/1CAIS.03743
Ortega Azurduy, M., Machaca Mamani, J., & Daza Morales, J. (2023). El efecto de la inteligencia artificial en el rendimiento académico: El papel de la ética, la motivación y la autoeficacia. CEPIES Revista Educación Superior, 10(3), 13–22. https://doi.org/10.53287/mzkv9068uw14f
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., Loder, E. W., Mayo-Wilson, E., McDonald, S., ... Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Page, M. J., Moher, D., Bossuyt, P. M., et al. (2021). PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. BMJ, 372, n160. https://doi.org/10.1136/bmj.n160
Queiro-Ameijeiras, C. M., Seguí-Mas, E., & Martí-Parreño, J. (2025). Determinantes de la aceptación de la gamificación en la educación superior: un modelo empírico. RIED-Revista Iberoamericana de Educación a Distancia, 28(1), 127-155. https://doi.org/10.5944/ried.28.1.41565
Rajabi, P., Taghipour, P., Cukierman, D., & Doleck, T. (2024). Unleashing ChatGPT’s impact in higher education: Student and faculty perspectives. Computers in Human Behavior: Artificial Humans, 2(2), 100090. https://doi.org/10.1016/j.chbah.2024.100090
Ríos Hernández, I. N., Mateus, J.-C., Rivera Rogel, D., & Ávila Meléndez, L. R. (2024). Percepciones de estudiantes latinoamericanos sobre el uso de la inteligencia artificial en la educación superior. Austral Comunicación, 13(1), e01302. https://doi.org/10.26422/aucom.2024.1301.rio
Rivas, A. (2025). La llegada de la IA a la educación superior en Iberoamérica: Un mapa para diseñar estrategias institucionales. OEI. https://oei.int/wp-content/uploads/2026/01/la-llegada-de-la-ia-a-la-educacion-superior-en-iberoamerica-final.pdf
Sabzalieva, E., & Valentini, A. (2023). ChatGPT e inteligencia artificial en la educación superior: Guía de inicio rápido. UNESCO IESALC. https://unesdoc.unesco.org/ark:/48223/pf0000385146_spa
Sánchez-Prieto, J. C., Izquierdo-Álvarez, V., del Moral-Marcos, M. T., & Martínez-Abad, F. (2025). Inteligencia artificial generativa para autoaprendizaje en educación superior: Diseño y validación de una máquina de ejemplos. RIED-Revista Iberoamericana de Educación a Distancia, 28(1), 59–81. https://doi.org/10.5944/ried.28.1.41548
Schmidt, D. A., Alboloushi, B., Thomas, A., & Magalhaes, R. (2025). Integrating artificial intelligence in higher education: perceptions, challenges, and strategies for academic innovation. Computers and Education Open, 9, 100274. https://doi.org/10.1016/j.caeo.2025.100274
Sedighi, M., & Sritharakumar, S. (2026). Emotional artificial intelligence in higher education: A systematic review. The Internet and Higher Education, 70, 101080. https://doi.org/10.1016/j.iheduc.2026.101080
Shingjergji, K., Iren, D., Urlings, C., & Klemke, R. (2026). Affective computing in online higher education: A systematic literature review. Computers and Education: Artificial Intelligence, 10, 100499. https://doi.org/10.1016/j.caeai.2025.100499
Suriá Martínez, R., García-Castillo, F., López-Sánchez, C., & García del Castillo, J. A. (2026). La inteligencia artificial como recurso de apoyo emocional: Análisis de creencias y preocupaciones en jóvenes universitarios. Edutec, Revista Electrónica de Tecnología Educativa, (95), artículo 5. https://doi.org/10.21556/edutec.2026.95.4409
Tam, N. V. T., & Thu, T. N. M. (2026). Effects of a social emotional learning enhanced gamified flipped classroom on self-compassion and academic achievement in higher education. Discover Education, 5, artículo 512, 1–24. https://doi.org/10.1007/s44217-026-01596-6
UNESCO (2022). Recommendation on the ethics of artificial intelligence. https://unesdoc.unesco.org/ark:/48223/pf0000381137
UNESCO (2025). Integrar el aprendizaje social y emocional en los sistemas educativos: Guía de políticas. https://doi.org/10.54675/ILRV6519
UNESCO (2024). Guía para el uso de la IA generativa en educación e investigación. https://www.unesco.org/es/articles/guia-para-el-uso-de-ia-generativa-en-educacion-e-investigacion
Urías-Rivas, M. O., Lugo Hernández, L. T., Rivera Obregón, M. L., Fonseca Bojórquez, C., & Díaz Huicho, D. V. (2026). Impacto del uso de la inteligencia artificial en la educación superior. RLEE: Revista Latinoamericana de Estudios Educativos, 56(1), 189-216. https://doi.org/10.48102/rlee.2026.56.1.760
Valentini, A., & Blancas, A. (2025). Los desafíos de la IA en la educación superior y las respuestas institucionales: ¿Hay espacio para marcos de competencias? UNESCO IESALC. https://unesdoc.unesco.org/ark:/48223/pf0000394935_spa
Villarino, R. T. (2025). Integración de la Inteligencia Artificial (IA) en la Educación Superior Rural Filipina: Perspectivas, desafíos y consideraciones éticas. IJERI: International Journal of Educational Research and Innovation, (23), 1–25. https://doi.org/10.46661/ijeri.10909
Wigelsworth, M., Verity, L., Mason, C., Qualter, P., & Humphrey, N. (2022). Social and emotional learning in primary schools: A review of the current state of evidence. British Journal of Educational Psychology, 92(3), 539–560. https://doi.org/10.1111/bjep.12480
Yana-Salluca, M. (2025). Integration of artificial intelligence and socio-emotional development in university students from southern Peru. Sapienza: International Journal of Interdisciplinary Studies, 6(1), e25006. https://doi.org/10.51798/sijis.v6i1.927
Zhang, W., Chen, B., & Tang, C. (2026). An empirical study on the impact of generative artificial intelligence-based learning activities on college students’ deep learning. Research and Practice in Technology Enhanced Learning, 21, artículo 028. https://doi.org/10.58459/rptel.2026.21028
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