Andragogía e Inteligencia Artificial como Integración Tecnológica en la Educación Superior
Andragogy and Artificial Intelligence as Technological Integration in Higher Education
DOI:
https://doi.org/10.64041/riidg.v4i4.57Keywords:
andragogía, inteligencia artificial, educación de adultosAbstract
This paper analyzes the relationship between andragogy and artificial intelligence in adult learning processes in higher education through a qualitative narrative review. The main objective was to integrate and critically analyze the scientific literature published between 2015 and 2024 to understand the influence of AI on autonomy, didactic mediation, and the ethics of adult learning.
The review was conducted according to the PRISMA 2020 guidelines and used the reflective thematic analysis model proposed by Braun & Clarke, including 45 peer-reviewed scientific articles in academic databases such as Scopus, ERIC, SpringerOpen, RedALyC, and Google Scholar.
The findings are divided into three thematic axes: a) autonomy and autonomous learning are enhanced through personalized learning environments; b) didactic mediation is redefined as a more reflective and ethical pedagogical role; and c) the ethical and technological challenges of equity in terms of data privacy, algorithmic bias, and the digital divide.
It is concluded that the intersection of AI and adult learning in higher education represents an opportunity to strengthen autonomous, critical, and contextual learning when human mediation and an ethical framework are present.
For further study, policies that include equity in technology are recommended, as well as teacher training in digital ethics and the development of hybrid learning models that can be based on humanistic principles and adult education at the higher level.
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Aguirre-Munizaga, M., Vergara-Lozano, V., Delgado, C., Ramirez-Yela, J., Vera Lucio, N. (2019). An Embedded Prototype System for People with Disabilities Using Google’s Speech. In: Rocha, Á., Serrhini, M. (eds) Information Systems and Technologies to Support Learning. EMENA-ISTL 2018. Smart Innovation, Systems and Technologies, vol 111. Springer, Cham. https://doi.org/10.1007/978-3-030-03577-8_33
Bates, T.. (2022). Teaching in a digital age: Guidelines for designing teaching and learning (3ª ed.). BCcampus. e
Braun, V., & Clarke, V.. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11, 589–597. https://doi.org/10.1080/2159676X.2019.1628806
Cook, D. A., & Smith, E. J.. (2024). A scoping review of artificial intelligence in medical education. Medical Teacher, 46 , 1–12. https://doi.org/10.1080/0142159X.2024.2314198
Ferrari, R.. (2015). Writing narrative style literature reviews. Medical Writing, 24, 230-235. https://doi.org/10.1179/2047480615Z.000000000329
Fereday, J., & Muir-Cochrane, E.. (2006). Demostrando la rigurosidad utilizando el análisis temático: un enfoque híbrido. Métodos de Investigación Cualitativa, 5, 80–92. https://doi.org/10.1177/160940690600500107
Grant, M. J., & Booth, A.. (2009). Una tipología de revisiones: un análisis de 14 tipos de revisiones y metodologías asociadas. Salud Information & Libraries Journal, 26, 91–108. https://doi.org/10.1111/j.1471-1842.2009.00848.x
Gómez-Chabla, R., Aguirre-Munizaga, M., Samaniego-Cobo, T., Choez, J., Vera-Lucio, N. (2017). A Reference Framework for Empowering the Creation of Projects with Arduino in the Ecuadorian Universities. In: Technologies and Innovation. CITI 2017. Communications in Computer and Information Science, vol 749. Springer, Cham. https://doi.org/10.1007/978-3-319-67283-0_18
Knowles, M. S.. (1984). Andragogía en acción: aplicar principios modernos de aprendizaje de adultos. Jossey-Bass.
Lincoln, Y. S., & Guba, E. G.. (1985). Indagación naturalista. SAGE. https://doi.org/10.1177/1609406917733847
Merriam, S. B., & Bierema, L. L.. (2014). Aprendizaje de adultos: unir teoría y práctica. Jossey-Bass. Miles, M. B., Huberman, A. M., & Saldaña, J... (2014). Análisis de datos cualitativos: un compendio de fuentes de método Moules, N. J. (3.a ed.). SAGE.
Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J.. (2017). Análisis temático: buscando cumplir con los criterios de confiabilidad. Métodos de investigación cualitativa, 16, 1-13. https://doi.org/10.1177/1609406917733847
Ozuem, W., Howell, K. E., & Lancaster, G. (2025). Thematic analysis in an artificial intelligence-driven context: The RIPES model. International Journal of Qualitative Methods, 24(3), 1–15. https://doi.org/10.1177/16094069251362982
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., ... & Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71.
Popenici, S. A. D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 1–13. https://doi.org/10.1186/s41039-017-0062-8.
Saldaña, J. (2021). The coding manual for qualitative researchers (4th ed.). SAGE.
Shenton, A. K. (2004). Strategies for ensuring trustworthiness in qualitative research projects. Education for Information, 22(2), 63–75. https://doi.org/10.3233/EFI-2004-22201
Siemens, G. (2022). Connectivism: A learning theory for the digital age. International Journal of Instructional Technology and Distance Learning, 19(2), 15–29. https://itdl.org/Journal/Feb_22/article01.htm
Sodhi, A., Singh, H., & Talan, N. (2023). Opportunities, challenges, and future directions of generative AI in medical education. JMIR Medical Education, 9(1), e48785. https://doi.org/10.2196/48785
Sukhera, J. (2022). Narrative reviews in medical education: Key steps for researchers. Journal of Graduate Medical Education, 14(4), 418–419. https://doi.org/10.4300/JGME-D-22-00481.1
Tracy, S. J. (2010). Qualitative quality: Eight “big-tent” criteria for excellent qualitative research. Qualitative Inquiry, 16(10), 837–851. https://doi.org/10.1177/1077800410383121
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Copyright (c) 2025 Franklin Cabezas-Galarza , Mercedes Landivar-Wong, Miguel Vargas-Bustamante , Karina Valenzuela Burbano

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