Las tecnologías que facilitan el aprendizaje en la educación universitaria en línea: innovación, desafíos y perspectivas futuras

Contenido principal del artículo

José Roberto Hernández-Caicedo
Segundo Víctor Medina-Paredes
Martha Judith Pereira-Valdez
Rina Sofía Altamirano-Carrasco

Resumen

La educación universitaria en línea ha experimentado una transformación significativa gracias al avance de las tecnologías digitales, que han facilitado nuevas formas de enseñanza y aprendizaje. Innovaciones como la realidad aumentada (RA), la realidad virtual (RV), la inteligencia artificial (IA) y los sistemas de aprendizaje adaptativo están redefiniendo la experiencia educativa. Estas tecnologías no solo permiten experiencias de aprendizaje más interactivas e inmersivas, sino que también ofrecen un alto grado de personalización, adaptándose a las necesidades individuales de los estudiantes. Sin embargo, la implementación efectiva de estas herramientas presenta diversos desafíos, como la capacitación docente, la brecha digital y la accesibilidad para todos los estudiantes, especialmente en contextos de desigualdad tecnológica. A pesar de estos obstáculos, las instituciones educativas han comenzado a integrar estas tecnologías emergentes en sus programas, mejorando la calidad educativa, la participación estudiantil y la colaboración en entornos virtuales. Las perspectivas futuras apuntan a una continua evolución de las tecnologías educativas, con un énfasis en mejorar la conectividad digital, promover un aprendizaje más colaborativo y garantizar la accesibilidad universal. No obstante, será crucial que las universidades desarrollen estrategias adecuadas para superar las barreras tecnológicas y pedagógicas, asegurando que la educación en línea sea inclusiva, eficiente y accesible para todos los estudiantes. Este artículo analiza las innovaciones tecnológicas, los desafíos asociados y las perspectivas futuras del aprendizaje en línea, ofreciendo una visión integral de su impacto en la educación superior.

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Hernández-Caicedo , J. ., Medina-Paredes , S. ., Pereira-Valdez , M. ., & Altamirano-Carrasco , R. . (2025). Las tecnologías que facilitan el aprendizaje en la educación universitaria en línea: innovación, desafíos y perspectivas futuras. 593 Digital Publisher CEIT, 10(1-2), 407-424. https://doi.org/10.33386/593dp.2025.1-2.3092
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Investigaciones /estudios empíricos
Biografía del autor/a

José Roberto Hernández-Caicedo , Universidad Técnica de Ambato - Ecuador

https://orcid.org/0000-0001-6366-6449

Licenciado en Laboratorio Clínico, Magister Universitario en Investigación y Avances en Inmunología Celular y Molecular. En la actualidad realiza las funciones de Técnico Docente de la Facultad Ciencias de la Salud, Carrera de Medicina.   

Segundo Víctor Medina-Paredes , Universidad Técnica de Ambato - Ecuador

https://orcid.org/0000-0001-7227-3882

Ingeniero Industrial en Procesos de Automatización, Magíster en Gestión de Operaciones, estudiante del Programa de Doctorado en Ingeniería y Producción Industrial. En la actualidad desempeña actividades de docencia e investigación, además de brindar servicios de consultoría a empresas públicas y privadas.   

 

Martha Judith Pereira-Valdez , Universidad Técnica de Ambato - Ecuador

Licenciada en ciencias de la educación especialidad Cultura Física, Magíster en en Cultura Física y entrenamiento deportivo. En la actualidad desempeña actividades de docencia e investigación,  

 

Rina Sofía Altamirano-Carrasco , Universidad Técnica de Ambato - Ecuador

https://orcid.org/0009-0005-2040-7072

DOCENTE EN JURISPRUDENCIA Y CIENCIAS SOCIALES, CARRERA DE DERECHO DE LA UNIVERSIDAD TECNICA DE AMBATO, MAGISTER EN ARGUMENTACIÓN JURÍDICA Y LITIGACIÓN ORAL, ESPECIALISTA EN MEDIACIÓN FAMILIAR Y  MEDIACION TRIBUTARIA 

Citas

​​Aguirre, P., Villota, F. H., & Mera, S. (2023a). Sustainability in higher education in Ecuador- Universidad Técnica del Norte case study. International Journal of Sustainability in Higher Education, 24(5), 1136–1160. https://doi.org/10.1108/IJSHE-07-2021-0268/FULL/PDF

​Aguirre, P., Villota, F. H., & Mera, S. (2023b). Sustainability in higher education in Ecuador- Universidad Técnica del Norte case study. International Journal of Sustainability in Higher Education, 24(5), 1136–1160. https://doi.org/10.1108/IJSHE-07-2021-0268

​Al. Pop, N., Todea, S., Partenie, C. V., Ott, C., Amaral, L. P., Martins, N., Gouveia, J. B., Bhaskara, G. I., Filimonau, V., Bravo, F. P., Sociedad, W. P. G.-R. U. y, 2021, undefined, Buhalis, D., Karatay, N., CALVOPIÑA, D., … D. G.-R., 2019, undefined, Carolina Peralta Cruz, D., Guataquí Cervera, S., … 2018, undefined. (2021). The COVID-19 pandemic and organisational learning for disaster planning and management: A perspective of tourism businesses from a destination prone to consecutive disasters. Information and Communication Technologies in Tourism 2022, 13(1), 573–587. https://doi.org/10.3390/SU13147742

​Al-Maskari, A., Al Riyami, T., & Ghnimi, S. (2024). Factors affecting students’ preparedness for the fourth industrial revolution in higher education institutions. Journal of Applied Research in Higher Education, 16(1), 246–264. https://doi.org/10.1108/JARHE-05-2022-0169/FULL/PDF

​Al-Omary, H., Soltani, A., Stewart, D., & Nazar, Z. (2024). Implementing learning into practice from continuous professional development activities: a scoping review of health professionals’ views and experiences. BMC Medical Education, 24(1), 1031. https://doi.org/10.1186/s12909-024-06016-7

​Artificial Intelligence in Logistics and Supply Chain Management: A Perspective on Research Trends and Challenges, 495 LNNS International Conference on Business and Technology , ICBT 2021 1241 (2023). https://doi.org/10.1007/978-3-031-08954-1_106

​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(1), 4. https://doi.org/10.1186/s41239-023-00436-z

​Clavijo Castillo, R. G., & Bautista-Cerro, M. J. (2020). Inclusive education. Analysis and reflections in Ecuadorian Higher Education. ALTERIDAD.Revista de Educación, 15(1), 113–124. https://doi.org/10.17163/ALT.V15N1.2020.09

​Coronato, A., Naeem, M., De Pietro, G., & Paragliola, G. (2020). Reinforcement learning for intelligent healthcare applications: A survey. Artificial Intelligence in Medicine, 109, 101964.

​Cortina, R., & Earl, A. (2021). Embracing interculturality and Indigenous knowledge in Latin American higher education. Compare, 51(8), 1208–1225. https://doi.org/10.1080/03057925.2020.1766350

​Dergaa, I., Chamari, K., Zmijewski, P., & Saad, H. Ben. (2023). From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing. Biology of Sport, 40(2), 615–622. https://doi.org/10.5114/BIOLSPORT.2023.125623

​De Schepper, A., Kyndt, E., & Clycq, N. (2024). The Importance of Graduates’ Perceived Network Quality in Their Transition to Work: A Longitudinal Approach. European Journal of Education, 59(4), e12786. https://doi.org/10.1111/ejed.12786

​Devine, A., Fawcett, K., Szucs, D., & Dowker, A. (2012). Gender differences in mathematics anxiety and the relation to mathematics performance while controlling for test anxiety. Behavioral and Brain Functions, 8, 33. https://doi.org/10.1186/1744-9081-8-33

​Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/J.IJINFOMGT.2019.08.002

​Eltahir, M. E., & Babiker, F. M. E. (2024). The Influence of Artificial Intelligence Tools on Student Performance in e-Learning Environments: Case Study. Electronic Journal of E-Learning, 22(9), 91–110. https://doi.org/10.34190/ejel.22.9.3639

​Espartinez, A. S. (2024). Exploring student and teacher perceptions of ChatGPT use in higher education: A Q-Methodology study. Computers and Education: Artificial Intelligence, 7, 100264. https://doi.org/10.1016/J.CAEAI.2024.100264

​Guamán, G. V. T., Quizhpe, L. D. C. M., Obregón, L. S. J., & Sánchez, M. A. T. (2023). Integrated information system in higher education institutions in Ecuador. Revista Venezolana de Gerencia, 28(9), 777–795. https://doi.org/10.52080/RVGLUZ.28.E9.48

​Hashim, M. A. M., Tlemsani, I., Mason-Jones, R., Matthews, R., & Ndrecaj, V. (2024). Higher education via the lens of industry 5.0: Strategy and perspective. Social Sciences & Humanities Open, 9, 100828. https://doi.org/10.1016/J.SSAHO.2024.100828

​Hernández, R. S. V., López, G. A. A., Ases, M. J. M., & Dávila, C. A. H. (2023). Gestión educativa de la recreación infantil para escolares. ConcienciaDigital, 6(4), 193–208. https://doi.org/10.33262/concienciadigital.v6i4.2701

​J., K., S.B., M., C., C., C., H., & K., S. (2025). Responding to the Growing Need for Medical Experts in Testamentary and Estate Related Capacities: A Course for Physicians. American Journal of Geriatric Psychiatry, 33(2), 169–175. https://doi.org/10.1016/j.jagp.2024.08.013

​James-Gallaway, C., & Dixson, A. D. (2025). Blackademics as prophetic witnesses and the continuing struggle for racial justice in higher education. Race Ethnicity and Education, 28(1), 1–18. https://doi.org/10.1080/13613324.2024.2419137

​Jameson, K. P. (1997). Higher education in a vacuum: Stress and reform in Ecuador. Higher Education, 33(3), 265–281. https://doi.org/10.1023/A:1002992020931/METRICS

​Jameson, K. P. (1999). Moving ‘social reform’ to center stage: Lessons from higher education in Ecuador. Higher Education Policy, 12(2), 123–140. https://doi.org/10.1016/S0952-8733(99)00003-3/METRICS

​Kumar, S., Rao, P., Singhania, S., Verma, S., & Kheterpal, M. (2024). Will artificial intelligence drive the advancements in higher education? A tri-phased exploration. Technological Forecasting and Social Change, 201, 123258. https://doi.org/10.1016/J.TECHFORE.2024.123258

​Lähdesmäki, S., Maunumäki, M., & Nurmi, T. (2024). Play is the Base! ECEC Leaders’ Views on the Development of Digital Pedagogy. Early Childhood Education Journal, 52(8), 1897–1910. https://doi.org/10.1007/s10643-023-01530-7

​Mendoza, M. L., Ortega Santos, J. P., & Llerena Gavilánez, C. A. (2014). Strategic alliances in higher education in Ecuador: the challenge of knowledge transfer and its effect on the learning curve. Suma de Negocios, 5(12), 96–104. https://doi.org/10.1016/S2215-910X(14)70031-X

​Mohammed, A. T., Velander, J., & Milrad, M. (2024). A Retrospective Analysis of Artificial Intelligence in Education (AIEd) Studies: Perspectives, Learning Theories, Challenges, and Emerging Opportunities. In Lecture Notes in Educational Technology: Vol. Part (pp. 127–141). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-97-8638-1_9

​Naseer, F., Khan, M. N., Tahir, M., Addas, A., & Aejaz, S. M. H. (2024). Integrating deep learning techniques for personalized learning pathways in higher education. Heliyon, 10(11), e32628. https://doi.org/10.1016/J.HELIYON.2024.E32628

​Reina Sánchez, K., Vaca Serrano, G., Arbáizar Gómez, J. P., & Duran-Heras, A. (2025). Uncovering suggestions in MOOC discussion forums: a transformer-based approach. Artificial Intelligence Review, 58(1), 4. https://doi.org/10.1007/s10462-024-10997-8

​Saavedra, F. M. (2012). Higher Education Reform in Ecuador and Its Effect on University Governance. International and Development Education, 161–175. https://doi.org/10.1057/9781137040107_11

​Saihi, A., Ben-Daya, M., Hariga, M., & As’ad, R. (2024). A Structural equation modeling analysis of generative AI chatbots adoption among students and educators in higher education. Computers and Education: Artificial Intelligence, 7, 100274. https://doi.org/10.1016/J.CAEAI.2024.100274

​Sánchez-Bolívar, L., Escalante-González, S., & Martínez-Martínez, A. (2024). The Ethics of Artificial Intelligence in Education: Threat or Opportunity?[A ética da inteligência artificial na educação: Ameaça ou oportunidade?][La ética de la inteligencia artificial en educación: ¿Amenaza u oportunidad?]. Revista Electronica Educare, 28. https://doi.org/10.15359/ree.28-S.20541

​Santiago Velastegui-Hernández, R., Romero-Peña, S. M., Carolina Martínez-Pérez, S., & Germán Muyulema-Muyulema, D. (2024). Analysis of Ecuador’s Higher Education processes. 593 Digital Publisher CEIT, 9(4–1), 106–117. https://doi.org/10.33386/593dp.2024.4-1.2655

​Sarkar, M., Gutierrez-Bucheli, L., Yip, S. Y., Lazarus, M., Wright, C., White, P. J., Ilic, D., Hiscox, T. J., & Berry, A. (2024). Pedagogical content knowledge (PCK) in higher education: A systematic scoping review. Teaching and Teacher Education, 144, 104608. https://doi.org/10.1016/J.TATE.2024.104608

​Shah, M., Pankiewicz, M., Baker, R. S., Chi, J., Xin, Y., Shah, H., & Fonseca, D. (2025). Students’ Use of an LLM-Powered Virtual Teaching Assistant for Recommending Educational Applications of Games. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 15259, 19–24. https://doi.org/10.1007/978-3-031-74138-8_2

​Solano Hilario, C., Belinda Ccope Jaucha, K., La Rosa de Benavides, L. M. A., & Paul Medina Perez, G. (n.d.). Generative Artificial Intelligence and its impact on the educational quality of students: Systematic Review[La Inteligencia Artificial Generativa y su impacto en la calidad educativa de los estudiantes: Revisión Sistemática]. Proceedings of the LACCEI International Multi-Conference for Engineering, Education and Technology, Jose. https://doi.org/10.18687/LACCEI2024.1.1.1481

​Thai, T. K., Board, C. A., Nugent, J. R., Johnston, J. L., Huynh, E. Y., Chen, C. H., Chan, A. H., Grant, R. W., Gilliam, L. K., & Gopalan, A. (2025). Overcoming therapeutic inertia in newly diagnosed type 2 diabetes: Protocol of a randomized, quality improvement trial. Contemporary Clinical Trials, 148, 107751. https://doi.org/10.1016/j.cct.2024.107751

​Trindade, M. A. M., Edirisinghe, G. S., & Luo, L. (2025). Teaching mathematical concepts in management with generative artificial intelligence: The power of human oversight in AI-driven learning. International Journal of Management Education, 23(2), 101104. https://doi.org/10.1016/j.ijme.2024.101104

​Vaganova, O. I., Gilyazova, O. S., Gileva, A. V., Yarygina, N. A., & Bekirova, E. Sh. (2020). Quality management of educational activities in higher education. Revista Amazonia Investiga, 9(28), 74–82. https://doi.org/10.34069/AI/2020.28.04.9

​Velastegui, R., Poler, R., & Diaz-Madroñero, M. (2023). Conceptual model for scheduling and control of production and logistics operations using multi-agent robotic systems and blockchain. DYNA, 98(3), 307–313. https://doi.org/10.6036/10724

​Velastegui, R., Poler, R., & Díaz-Madroñero, M. (2025). Revolutionising industrial operations: The synergy of multiagent robotic systems and blockchain technology in operations planning and control. Expert Systems with Applications, 269, 126460. https://doi.org/10.1016/J.ESWA.2025.126460

​Velastegui, R., Rosero, C., Sánchez, C., & Reyes, J. (2020). Evaluation of alternatives for the use of public resources in major emergencies using analytical hierarchical process (AHP): Case of study cantón de ambato. RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2020(E25).

​Yanagita, Y., Yokokawa, D., Fukuzawa, F., Uchida, S., Uehara, T., & Ikusaka, M. (2024). Expert assessment of ChatGPT’s ability to generate illness scripts: an evaluative study. BMC Medical Education, 24(1), 536. https://doi.org/10.1186/s12909-024-05534-8

​Yépez, A., Torres, C., Ramayo, Y., & Morales, C. (2023). Student Feedback on Evaluation and Assessment Processes in Higher Education. Journal of Higher Education Theory and Practice, 23(5), 237–247. https://doi.org/10.33423/jhetp.v23i5.5969

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