Il kairos e la macchina: etica, corpo e impegno educativo
Parole chiave:
Embodied Education, Artificial Intelligence, Situated Learning, Kairos, Educational Ecology.Abstract
In un ecosistema educativo attraversato da profondi cambiamenti e segnato dalla crescente presenza di intelligenze artificiali, emerge la necessità di valorizzare la dimensione incarnata, affettiva e situata dell’esperienza educativa, in continuità con i presupposti dell’Embodied Cognition (Varela, Thompson & Rosch, 1991; Gallese & Lakoff, 2005). Attraverso un confronto tra intelligenze artificiali disincarnate e quelle dotate di presenza fisica e sensomotoria, il contributo esplora le trasformazioni che la presenza artificiale produce all’interno degli spazi e dei tempi educativi, mettendo in evidenza come il tempo dell’apprendere sia qualitativo, irripetibile, difficilmente rappresentabile attraverso metriche cronologiche, e meglio descrivibile attraverso una dimensione kairologica (Pfeifer & Bongard, 2007). In questa prospettiva, l’educatore assume il ruolo di progettista di mondi possibili (Laurillard, 2013), chiamato a costruire ambienti capaci di accogliere la complessità dei soggetti in apprendimento, senza cadere nella standardizzazione. Se accompagnata da una visione etica condivisa da educatori, istituzioni e progettisti tecnologici, l’intelligenza artificiale può contribuire a trasformare la didattica, orientandola verso una maggiore attenzione alla complessità dell’esperienza umana. Questo contributo intende tracciare alcune possibili coordinate per una didattica mediata dalla tecnologia, orientata all’incertezza e attenta alle condizioni corporee che rendono l’apprendere un’esperienza situata.
Riferimenti bibliografici
Asada, M. (2024). Anthology: Cognitive developmental humanoids robotics. International Journal of Humanoid Robotics, 21(01), 2450002.
Bayne, S. (2015). Teacherbot: Interventions in automated teaching. Teaching in Higher Education, 20(4), 455–467. https://doi.org/10.1080/13562517.2015.1020783
Belpaeme, T., Kennedy, J., Ramachandran, A., Scassellati, B., & Tanaka, F. (2018).
Social robots for education: A review. Science Robotics, 3(21), eaat5954.
https://doi.org/10.1126/scirobotics.aat5954
Berthoz, A. (2012). Simplexity: Simplifying principles for a complex world (Giselle Weiss, Trans.). New Haven & London: Yale Uni-versity Press/Paris: Éditions Odile Jacob.
Biesta, G. J. (2015). Good education in an age of measurement: Ethics, politics, democracy. Routledge.
Biesta, G. (2021). World-centred education: A view for the present. Routledge.
Bowker, G. C., & Star, S. L. (2000). Sorting things out: Classification and its consequences. MIT Press.
Braidotti, R. (2019). Posthuman knowledge (Vol. 2). Cambridge: Polity Press.
Brooks, R. A. (1991). Intelligence Without Representation. Artificial Intelligence, 47(1–3), 139–159. https://doi.org/10.1016/0004-3702(91)90053-M
Cangelosi, A., & Schlesinger, M. (2015). Developmental robotics: From babies to robots. MIT Press.
Castañeda, L., & Williamson, B. (2021). Assembling new toolboxes of methods and theories for innovative critical research on ed-ucational technology. Journal of New Approaches in Educational Research, 10(1), 1-14.
Coeckelbergh, M. (2020). AI ethics. MIT Press.
Damiano, L., & Dumouchel, P. (2018). Anthropomorphism in Human–Robot Co-evolution. Frontiers in Psychology, 9, 468. https://doi.org/10.3389/fpsyg.2018.00468
Davies, B. (2014). Listening to children: Being and becoming. Routledge.
Dede, C., & Richards, J. (2020). The 60-year curriculum: New models for lifelong learning in the digital economy. Routledge.
Dimitriadis, Y., & Goodyear, P. (2013). Forward-oriented design for learning: illustrating the approach. Research in Learning Technol-ogy, 21.
Ellis, R., & Goodyear, P. (2016). Students’ experiences of e-learning in higher education: the ecology of sustainable innovation. Routledge.
Ellsworth, E. (2005). Places of Learning: Media, architecture, pedagogy. Routledge.
Ergas, O. (2017). Reconstructing 'education' through mindful attention: Positioning the mind at the center of curriculum and pedagogy. Palgrave Mac-millan UK.
Facer, K., & Sandford, R. (2010). The next 25 years?: future scenarios and future directions for education and technology. Journal of computer assisted learning, 26(1), 74-93.
Floridi, L. (2015). The onlife manifesto: Being human in a hyperconnected era (p. 264). Springer nature.
Gallese, V., & Lakoff, G. (2005). The brain's concepts: The role of the sensory-motor system in conceptual knowledge. Cognitive neuropsychology, 22(3–4), 455–479.
Gomez Paloma, F., Ascione, A., & Tafuri, D. (2016). Embodied Cognition: il ruolo del corpo nella didattica. Formazione & insegna-mento, 14, 75-87.
Gumbrecht, H. U. (2004). The Production of presence: What meaning cannot convey. Stanford University Press.
Hansen, M. B. N. (2015). Feed-forward: On the future of twenty-first-century Media. University of Chicago Press.
Haraway, D. J. (2016). Staying with the trouble: Making kin in the Chthulucene. Duke University Press.
Hayles, N. K. (1999). How We Became Posthuman: Virtual Bodies in Cybernetics, Literature, and Informatics. University of Chicago Press.
hooks, b. (1994). Teaching to Transgress: Education as the Practice of Freedom. Routledge.
Hui, Y. (2021). Art and cosmotechnics. University of Minnesota Press.
Hutchins, E. (1995). Cognition in the Wild. MIT press.
Illich, I. (1971). Deschooling Society. Harper & Row.
Istenič, A., Podpečan, V., Rosanda, V., & Zhai, X. (2025). Social robot radical innovation: capacities and status attributed to the NAO robot by 11 to 12-year-old students and preservice teachers' perceptions. Cogent Education, 12(1), 2489820. https://doi.org/10.1080/2331186X.2025.2489820
Kennedy, J., Baxter, P., & Belpaeme, T. (2015, March). The robot who tried too hard: Social behaviour of a robot tutor can nega-tively affect child learning. In Proceedings of the tenth annual ACM/IEEE international conference on human-robot interaction (pp. 67-74).
Knox, J. (2020). Artificial intelligence and education in China. Learning, Media and Technology, 45(3), 298-311.
Latour, B. (2005). Reassembling the social: An introduction to actor-network-theory. Oxford university press.
Laurillard, D. (2013). Teaching as a Design Science: Building Pedagogical Patterns for Learning and Technology. Routledge.
Lefebvre, H. (1991). The production of space (D. Nicholson-Smith, Trans.). Oxford: Blackwell.
Lindblom, J., & Ziemke, T. (2003). Social situatedness of natural and artificial intelligence: Vygotsky and beyond. Adaptive Behav-ior, 11(2), 79-96.
Lindgren, R., & Johnson-Glenberg, M. (2013). Emboldened by embodiment: Six precepts for research on embodied learning and mixed reality. Educational researcher, 42(8), 445-452. https://doi.org/10.3102/0013189X13511661
Liu, Y., Chen, W., Bai, Y., Liang, X., Li, G., Gao, W., & Lin, L. (2024). Aligning cyber space with physical world: A comprehensive survey on embodied ai. arXiv preprint arXiv:2407.06886.
Manning, E. (2013). Always more than one: Individuation's dance. Duke University Press
Massumi, B. (2015). Politics of affect. John Wiley & Sons.
Okada, A., Sherborne, T., & Panselinas, G. (2025). Fostering transversal skills through open schooling supported by the CARE-KNOW-DO pedagogical model and the UNESCO AI competencies framework. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-025-00458-w
Parisi, L. (2019). Critical computation: Digital automata and general artificial thinking. Theory, Culture & Society, 36(2), 89-121.
Pfeifer, R., & Bongard, J. (2007). How the body shapes the way we think: a new view of intelligence. MIT Press.
Rosa, H. (2013). Social Acceleration: A New Theory of Modernity. Columbia University Press
Selwyn, N. (2019). Should Robots Replace Teachers? AI and the Future of Education. (1st ed.) Polity Press.
Shapiro, L. (2019). Embodied cognition. Routledge.
Sheets-Johnstone, M. (2011). The primacy of movement: expanded second edition. John Benjamins Publishing Company.
Shotter, J. (2005). Wittgenstein in practice: His philosophy of beginnings, and beginnings, and beginnings. KCC Foundation.
Sibilio, M. (2014). Didattica semplessa: Verso un nuovo paradigma dell’azione didattica. FrancoAngeli.
Simondon, G. (2005). L'individuation à la lumière des notions de forme et d'information. Millon.
Sloterdijk, P. (2004). Sphären II: Globen. Suhrkamp.
Suchman, L. (2007). Human–Machine Reconfigurations: Plans and Situated Actions. Cambridge University Press.
Tatarian, K., Wallkotter, S., Buyukgoz, S., Stower, R., & Chetouani, M. (2020). MobiAxis: An Embodied Learning Task for Teaching Multiplication with a Social Robot. arXiv:2004.07806v1. https://arxiv.org/abs/2004.07806v1
Van Manen, M. (2016). The tact of teaching: The meaning of pedagogical thoughtfulness. Routledge.
Varela, F. J., Thompson, E., & Rosch, E. (1991). The Embodied Mind: Cognitive Science and Human Experience. MIT Press.
Watters, A. (2021). Teaching Machines: The History of Personalized Learning. MIT Press.
Williamson, B., & Piattoeva, N. (2020). Objectivity as standardization in data-scientific education policy, technology and govern-ance. In The Datafication of Education (pp. 81-93). Routledge.
Yang, F. C., Acevedo, P., Guo, S., Choi, M., & Mousas, C. (2025). Embodied Conversational Agents in Extended Reality: A Sys-tematic Review. IEEE Access. https://ieeexplore.ieee.org/document/10985757
Zembylas, M. (2007). Emotional Capital and Education: Theoretical Insights from Bourdieu. British Journal of Educational Studies, 55(4), 443–463.
Ziemke, T. (2003). What's that thing called embodiment?. In Proceedings of the 25th Annual Cognitive Science Society (pp. 1305-1310). Psychology Press.
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