Andragogía e Inteligencia Artificial como Integración Tecnológica en la Educación Superior

Andragogy and Artificial Intelligence as Technological Integration in Higher Education

Authors

  • Franklin Cabezas-Galarza Universidad de Guayaquil
  • Mercedes Landivar-Wong mercedes.landivarw@ug.edu.ec
  • Miguel Vargas-Bustamante Universidad de Guayaquil
  • Karina Valenzuela Burbano Universidad de Guayaquil

DOI:

https://doi.org/10.64041/riidg.v4i4.57

Keywords:

andragogía, inteligencia artificial, educación de adultos

Abstract

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.

Downloads

Download data is not yet available.

References

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

Downloads

Published

2025-11-07

How to Cite

Andragogía e Inteligencia Artificial como Integración Tecnológica en la Educación Superior: Andragogy and Artificial Intelligence as Technological Integration in Higher Education. (2025). International Journal of Global Research and Development, 4(4), 15-38. https://doi.org/10.64041/riidg.v4i4.57

Similar Articles

1-10 of 55

You may also start an advanced similarity search for this article.