Inteligencia Artificial y educación postdigital en la infosfera
el conocimiento como palimpsesto y manuscrito antiguo estratificado
DOI:
https://doi.org/10.46661/ijeri.12859Palabras clave:
Inteligencia Artificial, Metodología del Palimpsesto, Heurística U-Net, Educación Postdigital, Identidad Docente, Arqueología Digital, HiperhistoriaResumen
El panorama educativo contemporáneo está experimentando una transformación radical, caracterizada por la transición del Paréntesis de Gutenberg hacia la complejidad fluida de la Infoesfera. Este estudio propone un marco pedagógico original que conceptualiza la integración de la Inteligencia Artificial en la educación como un cambio epistemológico basado en la lógica del palimpsesto. Más allá del discurso binario entre eficiencia e integridad, esta investigación analiza el aula como un espacio estratificado donde el conocimiento se reconstruye mediante la superposición de capas algorítmicas y humanas.
La metodología combina un análisis hermenéutico de las arquitecturas de IA (específicamente adaptando la estructura de red convolucional U-Net como un isomorfismo heurístico para el diseño curricular) con una modelización prospectiva de datos institucionales sobre la adopción de la IA. Los hallazgos, visualizados a través de la brecha de asimilación y un modelo de eficacia teórica, sugieren que tratar los resultados de la IA como palimpsestos digitales reduce significativamente las tasas de alucinación, al tiempo que restaura la autoría crítica. Esta estrategia de lectura estratificada transforma al docente en un mediador postdigital, garantizando que la huella humana permanezca visible dentro de los archivos sintéticos del futuro.
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Abulafia, D. (2019). The boundless sea: A human history of the oceans. Oxford University Press.
Adell, J., & Castañeda, L. (2012). Tecnologías emergentes, ¿pedagogías emergentes? En J. Hernández, M. Pennesi, D. Sobrino y A. Vázquez (coords.), Tendencias emergentes en educación con TIC (pp. 13-32). Barcelona: Asociación Espiral, Educación y Tecnología.
Al-Taai, S., Kanber, H., & AL-Dulaimi, W. (2023). The importance of using the internet of things in education. International Journal of Emerging Technologies in Learning, 18(1), 19–39. https://doi.org/10.3991/ijet.v18i01.35999 DOI: https://doi.org/10.3991/ijet.v18i01.35999
Almazán-López, O., Hasbun, H., & Osuna-Acedo, S. (2025). Generative artificial intelligence and (post)digital faculty identity. International Journal of Educational Research and Innovation, (24), 1–17. https://doi.org/10.46661/ijeri.11160 DOI: https://doi.org/10.46661/ijeri.11160
Anderson, T., & Rivera-Vargas, P. (2020). A critical look at educational technology from a distance education perspective. Digital Education Review, (37), 208-229. https://doi.org/10.1344/der.2020.37.208-229 DOI: https://doi.org/10.1344/der.2020.37.208-229
Arroyo, J. (2022). New internet textualities as post-translated phenomena: The palimpsestic nature of bardcore, social media posts and fandom art. Passage: The International Journal of Writing and Mobility, 1 (1), 23–41.
Barthes, R. (1977). Image, music, text. Hill and Wang.
Benjamin, R. (2019). Race After Technology: Abolitionist Tools for the New Jim Code. Polity.
Biesta, G. (2019). World-centred education: A view for the present. Routledge.
Boden, M. A. (2016). AI: Its nature and future. Oxford University Press.
Bostrom, N. (2014). Superintelligence: Paths, dangers, strategies. Oxford University Press.
Carr, N. (2010). The shallows: What the internet is doing to our brains. W. W. Norton & Company.
Castañeda, L., & Selwyn, N. (2018). More than tools? Making sense of the ongoing digitization of higher education. International Journal of Educational Technology in Higher Education, 15(1), 22. https://doi.org/10.1186/s41239-018-0109-y DOI: https://doi.org/10.1186/s41239-018-0109-y
Certeau, M. de. (1988). The writing of history. Columbia University Press.
Chomsky, N., Roberts, I., & Watumull, J. (2023). The False Promise of ChatGPT. The New York Times.
Corboz, A. (1983). The land as palimpsest. Diogenes, 31(121), 12–34. https://doi.org/10.1177/039219218303112102 DOI: https://doi.org/10.1177/039219218303112102
Crawford, K. (2021). Atlas of AI. Yale University Press. https://doi.org/10.12987/9780300252392 DOI: https://doi.org/10.12987/9780300252392
Dasli, M. (2019). UNESCO guidelines on intercultural education: A deconstructive reading. Pedagogy, Culture & Society, 27(2), 215–232. https://doi.org/10.1080/14681366.2018.1451913 DOI: https://doi.org/10.1080/14681366.2018.1451913
Derrida, J. (1996). Archive fever: A Freudian impression. University of Chicago Press. https://doi.org/10.7208/chicago/9780226851228.001.0001 DOI: https://doi.org/10.7208/chicago/9780226851228.001.0001
Eubanks, V. (2018). Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. St. Martin's Press.
Eve, M. P. (2022). The digital humanities and literary studies. Oxford University Press. https://doi.org/10.1093/oso/9780198850489.001.0001 DOI: https://doi.org/10.1093/oso/9780198850489.001.0001
Floridi, L. (2014). The fourth revolution: How the infosphere is reshaping human reality. Oxford University Press.
Foucault, M. (1972). The archaeology of knowledge. Pantheon Books.
Genette, G. (1997). Palimpsests: Literature in the second degree. University of Nebraska Press.
Goodfellow, I., et al. (2014). Generative Adversarial Nets. Advances in Neural Information Processing Systems.
González-Zamar, M. D., & Abad-Segura, E. (2021). Visual arts education literacy in university contexts. International Journal of Educational Research and Innovation, (15), 170–186. https://doi.org/10.46661/ijeri.5735 DOI: https://doi.org/10.46661/ijeri.5735
Han, B.-C. (2015). The Transparency Society. Stanford University Press. https://doi.org/10.1515/9780804797511 DOI: https://doi.org/10.1515/9780804797511
Han, B.-C. (2017). Psychopolitics: Neoliberalism and New Technologies of Power. Verso.
Hayles, N. K. (2012). How we think: Digital media and contemporary technogenesis. University of Chicago Press. https://doi.org/10.7208/chicago/9780226321370.001.0001 DOI: https://doi.org/10.7208/chicago/9780226321370.001.0001
HEPI (2024). Student Academic Experience Survey 2024. Higher Education Policy Institute.
HEPI (2025). Student Academic Experience Survey 2025. Higher Education Policy Institute.
Hui, Y. (2016). On the Existence of Digital Objects. University of Minnesota Press. https://doi.org/10.5749/minnesota/9780816698905.001.0001 DOI: https://doi.org/10.5749/minnesota/9780816698905.001.0001
Jarvis, J. (2023). The Gutenberg parenthesis: The age of print and its lessons for the age of the internet. Bloomsbury. https://doi.org/10.5040/9781501394867 DOI: https://doi.org/10.5040/9781501394867
Kirschner, P. A., & De Bruyckere, P. (2017). The myths of the digital native and the multitasker. Teaching and Teacher Education, 67, 135-142. https://doi.org/10.1016/j.tate.2017.06.001 DOI: https://doi.org/10.1016/j.tate.2017.06.001
Knox, J. (2019). Posthumanism and the Massive Open Online Course. Routledge.
Latour, B. (2005). Reassembling the Social: An Introduction to Actor-Network-Theory. Oxford University Press. https://doi.org/10.1093/oso/9780199256044.001.0001 DOI: https://doi.org/10.1093/oso/9780199256044.001.0001
Lucking, R. (2018). Machine learning and human intelligence: The future of education in the 21st century. UCL Press.
Manovich, L. (2013). Software Takes Command. Bloomsbury. https://doi.org/10.5040/9781472544988 DOI: https://doi.org/10.5040/9781472544988
Mollick, E. (2024). Co-Intelligence: Living and Working with AI. Penguin Random House.
Moretti, F. (2024). Network semantics. A beginning. Transilvania, (5), 5–11. https://doi.org/10.51391/trva.2024.05.01 DOI: https://doi.org/10.51391/trva.2024.05.01
Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. New York University Press.
Pasquale, F. (2015). The black box society: The secret algorithms that control money and information. Harvard University Press. https://doi.org/10.4159/harvard.9780674736061 DOI: https://doi.org/10.4159/harvard.9780674736061
Peters, M. A., & Jandrić, P. (2018). The digital university: A dialogue and manifesto. Peter Lang. https://doi.org/10.3726/b11314 DOI: https://doi.org/10.3726/b11314
Ronneberger, O., Fischer, P., & Brox, T. (2015). U-Net: Convolutional Networks for Biomedical Image Segmentation. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, 234-241. https://doi.org/10.1007/978-3-319-24574-4_28 DOI: https://doi.org/10.1007/978-3-319-24574-4_28
Salmeron, J. L., & Fernandez-Palop, E. (2025). Physically informed synthetic data generation and U-Net generative adversarial network for palimpsest reconstruction. Mathematics, 13(14), 2304. https://doi.org/10.3390/math13142304 DOI: https://doi.org/10.3390/math13142304
Selwyn, N. (2019). Should Robots Replace Teachers? AI and the Future of Education. Polity.
Siemens, G. (2005). Connectivism: A learning theory for the digital age. International Journal of Instructional Technology and Distance Learning, 2(1).
Srnicek, N. (2017). Platform Capitalism. Polity.
Stanford HAI (2025). Artificial Intelligence Index Report 2025. Stanford University Human-Centered AI Institute.
Stiegler, B. (2010). Taking Care of Youth and the Generations. Stanford University Press.
UNESCO (2021). Reimagining our futures together: A new social contract for education. UNESCO.
UNESCO (2025). Guidance for Generative AI in Education and Research. UNESCO Publishing.
Williamson, B. (2019). Big Data in Education: The Digital Future of Learning, Policy and Practice. SAGE.
Zuboff, S. (2019). The Age of Surveillance Capitalism. PublicAffairs.
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Derechos de autor 2026 Eva Fernández Palop
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