Research Article

Artificial intelligence and education: Theoretical-conceptual and methodological framework and critical reflections

Beatriz Fainholc 1 *
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1 CEDIPROE Center, Universidad Nacional de La Plata, La Plata, ARGENTINA* Corresponding Author
Journal of Digital Educational Technology, 6(1), April 2026, ep2605, https://doi.org/10.30935/jdet/17550
Submitted: 01 February 2025, Published: 15 December 2025
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ABSTRACT

The world changed amidst unknowns. It can be understood as a mutation, or an attack on traditional styles of governance and management, institutional offerings, academic research spaces, production of software artificial intelligence (AI), and the processes of learning and teaching in general. This contribution aims to review the theoretical and methodological support that have inspired the explanations of the relationship between AI and education. The challenge is to reconfigure the theoretical-conceptual and methodological frameworks of interpretation of these phenomena towards others more relevant according to the digital spaces and their crisis. Also, adding the deployment of AI as a background factor that transforms all social processes. The design of AI in the scenario of a digital ecology is based on the technical-instrumental rationality of reductionist economic explanation for thinking, feeling and acting. The complex dimensions of human reality in general and the pedagogical reality in particular, physical and virtual, require a more comprehensive, systemic-holistic and recursive paradigm and their theoretical and methodological perspectives. Also, relational, hermeneutic and rhizomatic explanations. The evolution of AI sets the background for some current and possible directions for an unknown future. More with the consideration of the disruptive challenges of AI toward overcoming its political-economic and military decisions which influences on it. The conclusions and recommendations included indicate the tentativeness of scientific-technological concepts and the need for considering a critic appropriate educational technology, an interdisciplinary studies and continuous relearning in the face of the uncertain hyper-industrialized scenarios of AI in education.

CITATION (APA)

Fainholc, B. (2026). Artificial intelligence and education: Theoretical-conceptual and methodological framework and critical reflections. Journal of Digital Educational Technology, 6(1), ep2605. https://doi.org/10.30935/jdet/17550

REFERENCES

  1. Austin, J. (1811). Sense and sensibility. Thomas Egerton. https://doi.org/10.1093/oseo/instance.00080849
  2. Ausubel, D. P. (1968). Educational psychology: A cognitive view. Holt, Rinehart and Winston.
  3. Bakhtin, M. (1986). Problemas literarios y estéticos [Literary and aesthetic problems]. FCE.
  4. Braidotti, R. (2019). Posthuman knowledge. Polity Press.
  5. Broussard, M. (2016). Artificial unintelligence: How computers misunderstand the world. MIT Press.
  6. Davidov, V. V. (1996). La teoría de la enseñanza que conduce al desarrollo [The theory of teaching that leads to development]. INTER.
  7. Deleuze, G., & Guattari, F. (1976). Rhizome. MINUIT.
  8. Derrida, J. (1998). Of grammatology. Johns Hopkins University Press.
  9. Dewey, J. (1916). Democracy and education: An introduction to the philosophy of education. Macmillan Publishing.
  10. Dewey, J. (1938). Experience & education. Kappa Delta Pi.
  11. Fainholc, B. (1999). La interactividad virtual en la educación a distancia [Virtual interactivity in distance education]. Paidós.
  12. Fainholc, B. (2024, January 12). Definiendo la educación híbrida: Tipos para transformar la educación tradicional [Defining hybrid education: Types to transform traditional education]. Tecnología Educativa Apropiada y Crítica. https://bfainhol.wixsite.com/blogteac/post/definiendo-la-educaci%C3%B3n-h%C3%ADbrida-tipos-para-transformar-la-educaci%C3%B3n-tradicional
  13. Fainholc, B. (2025, February 4). Pensar la relación de automatización, la educación y la democracia [Thinking about the relationship between automation, education, and democracy]. Tecnología Educativa Apropiada y Crítica. https://bfainhol.wixsite.com/blogteac/post/tercera-frontera-automatizaci%C3%B3n-creaci%C3%B3n-de-aut%C3%B3matas-la-democracia-y-la-educaci%C3%B3n
  14. Feenberg, A. (2002). Transforming technology: A critical theory revisited. Oxford University Press. https://doi.org/10.1093/oso/9780195146158.001.0001
  15. Gadamer, H. G. (1989). Truth and method. Continuum.
  16. Gardner, H. (1993). The unschooled mind: How children think and how schools should teach. Basic Books.
  17. Han, B.-C. (2018). What is power? Polity Press.
  18. Jandrić, P., Knox, J., Besley, T., Ryberg, T., Suoranta, J., & Hayes, S. (2018). Postdigital science and education. Educational Philosophy and Theory, 50(10), 893-899. https://doi.org/10.1080/00131857.2018.1454000
  19. Kurzweil, R. (2005). The singularity is near: When humans transcend biology. The Viking Press.
  20. Lanier, J. (2010). You are not a gadget: A manifesto. Knopf.
  21. Latour, B. (2007). Reassembling the social: An introduction to actor-network-theory. Oxford University Press.
  22. Leont’ev, A. (1978). Activity, consciousness, and personality. Prentice-Hall.
  23. Luria, A. R. (1976). The cognitive development: Its cultural and social foundations. Harvard University Press.
  24. Mead, G. H. (1934). Mind, self and society. University of Chicago Press.
  25. Nicolescu, B. (2013). La necesidad de la transdisciplinariedad en la educación superior [The need for transdisciplinarity in higher education]. Trans-Pasando Fronteras: Revista Estudiantil de Asuntos Transdisciplinares, (3), 23-30. https://doi.org/10.18046/retf.i3.1624
  26. Papert, S. (1994). The children’s machine: Rethinking school in the age of the computer. Basic Books.
  27. Perkins, D. (2003). El contenido: Hacia una pedagogía de la comprensión [The content: Towards a pedagogy of understanding]. Gedisa.
  28. Piaget, J. (1950). The psychology of intelligence. Routledge.
  29. Postman, N. (1996). The end of education: Redefining the value of school. Vintage.
  30. Schön, D. A. (1987). Educating the reflective practitioner: Toward a new design for teaching and learning in the professions. Jossey-Bass.
  31. Siemens, G. (2005). Connectivism: A learning theory for the digital age. International Journal of Instructional Technology and Distance Learning, 2.
  32. Siemens, G. (2006). Knowing knowledge. Lulu.com.
  33. Simon, H. (2019). The sciences of the artificial. MIT Press. https://doi.org/10.7551/mitpress/12107.001.0001
  34. Skinner, B. F. (1953). Science and human behavior. Free Press.
  35. Skinner, B. F. (1974). About behaviorism. Vintage.
  36. Turkle, S. (2017). En defensa de la comunicación [In defense of communication]. Atico de los Libros.
  37. Vygotsky, L. (2017). Historia del desarrollo de las funciones psíquicas superiores [History of the development of higher psychic functions]. COLIHUE.
  38. Zuboff, S. (2019). Surveillance capitalism and the challenge of collective action. New Labor Forum, 28(1), 10-29. https://doi.org/10.1177/1095796018819461