A inteligência artificial como meio pedagógico: transformações e desafios da mediação do saber
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Resumo
A ascensão dos sistemas de inteligência artificial generativa tem transformado profundamente as práticas pedagógicas no ensino superior, onde esses dispositivos atuam cada vez mais como mediadores do conhecimento. Este artigo examina como o uso da IA em contextos universitários reconfigura a mediação pedagógica e a relação professor–aprendente, ao assumir funções tradicionalmente associadas ao papel docente, como a reformulação, a explicitação e a orientação das aprendizagens. A partir de uma perspectiva mediológica e crítica da educação digital, o estudo analisa os efeitos desta mediação algorítmica na distribuição de papéis, na legitimidade do conhecimento e na autonomia estudantil. Baseia-se numa metodologia qualitativa interpretativa realizada na Universidade Mohammed Premier, combinando entrevistas semiestruturadas com docentes e um questionário aplicado a estudantes de diferentes níveis e áreas disciplinares. Os resultados evidenciam uma autonomia estudantil assistida pela IA, associada a uma dependência instrumental, bem como uma redefinição do papel docente como mediador epistemológico e crítico. Conclui-se que a IA não substitui a mediação pedagógica, mas a reconfigura ao introduzir um terceiro técnico que exige quadros pedagógicos, éticos e institucionais claramente definidos.
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Referências
Akrich, M. (1992). The de-scription of technical objects. Dans W. E. Bijker et J. Law (dir.), Shaping technology/building society: Studies in sociotechnical change (p. 205-224). MIT Press.
Altet, M. (2003). Caractériser, expliquer et comprendre les pratiques enseignantes pour aussi contribuer à leur évaluation. Dossier des sciences de l’éducation, (10), 31-44. https://www.persee.fr/doc/dsedu_1296-2104_2003_num_10_1_1027 DOI: https://doi.org/10.3406/dsedu.2003.1027
Chevallard, Y. (1985). La transposition didactique : du savoir savant au savoir enseigné. La Pensée Sauvage.
Clancey, W. J. (1987). Knowledge-based tutoring: The GUIDON program. MIT Press.
Cui, Z. (2025). Educational AI and the politics of fairness: Structural bias, governance, and student empowerment. Journal of Education and Educational Research, 15(2), 111-118. https://doi.org/10.54097/6khfyx66 DOI: https://doi.org/10.54097/6khfyx66
Dreyfus, H. L. (1972). What computers can’t do: A critique of artificial reason. Harper & Row.
Gillani, N., Eynon, R., Chiabaut, C., et Finkel, K. (2023). Unpacking the “black box” of AI in education. Educational Technology & Society, 26(1), 99-111. https://www.j-ets.net/collection/published-issues/26_1
Karsenti, T., et Collin, S. (2013). Quand les TIC font mouche : leurs impacts en éducation. Presses de l’Université du Québec.
Latour, B. (1992). Where are the missing masses? The sociology of a few mundane artifacts. Dans W. E. Bijker et J. Law (dir.), Shaping technology/building society: Studies in sociotechnical change (p. 225–258). MIT Press.
LeCun, Y., Bengio, Y., et Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444. https://doi.org/10.1038/nature14539 DOI: https://doi.org/10.1038/nature14539
Peraya, D. (2014). Distances, absence, proximités et présences : des concepts en déplacement. Distances et médiations des savoirs, 8. https://doi.org/10.4000/dms.865 DOI: https://doi.org/10.4000/dms.865
Peraya, D. (2021). La formation à distance : un dispositif de formation et de communication médiatisées. Une approche des processus de médiatisation et de médiation. Calidoscópio, 4(3), 200-204. https://revistas.unisinos.br/index.php/calidoscopio/article/view/6005
Peraya, D., et Charlier, B. (2012). La médiatisation de l’enseignement : enjeux, pratiques et dispositifs. De Boeck.
Perrenoud, P. (1999). Dix nouvelles compétences pour enseigner. ESF Éditeur.
Rabardel, P. (1995). Les hommes et les technologies : approche cognitive des instruments contemporains. Armand Colin. HAL. https://hal.science/hal-01017462
Schumpeter, J. A. (1934). The theory of economic development. Harvard University Press.
Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.
Shortliffe, E. H. (1976). Computer-based medical consultations: MYCIN. Elsevier. DOI: https://doi.org/10.1016/B978-0-444-00179-5.50009-3
Turing, A. M. (1950). Computing machinery and intelligence. Mind, 59(236), 433-460. https://doi.org/10.1093/mind/LIX.236.433 DOI: https://doi.org/10.1093/mind/LIX.236.433
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
Williamson, B. (2017). Big data in education: The digital future of learning, policy and practice. SAGE. DOI: https://doi.org/10.4135/9781529714920
Wang, S.-I. C., et Liu, E.-Z. F. (2025). AI tools and the POE model in educational technology learning: Exploring participant experiences using thematic analysis. Computers & Education: Artificial Intelligence, 9, 100488. https://doi.org/10.1016/j.caeai.2025.100488 DOI: https://doi.org/10.1016/j.caeai.2025.100488
Wang, X., Zainuddin, Z., et Leng, C. H. (2025). Generative artificial intelligence in pedagogical practices: A systematic review of empirical studies (2022-2024). Cogent Education, 12(1). https://doi.org/10.1080/2331186X.2025.2485499 DOI: https://doi.org/10.1080/2331186X.2025.2485499
Zagkotas, V. (2025). Artificial intelligence and the didactic transposition of knowledge: Implications for curriculum development and knowledge gatekeeping. Futurity Education, 5(2), 44-66. https://doi.org/10.57125/FED.2025.06.25.03 DOI: https://doi.org/10.57125/FED.2025.06.25.03
Zou, H., Chan, K. I., Pang, P., Manditereza, B., et Shih, Y.-H. (2026). To use but not to depend: Pedagogical novelty and the cognitive brake of ethical awareness in computer science students’ adoption of generative AI. Education Sciences, 16(2), 311. https://doi.org/10.3390/educsci16020311 DOI: https://doi.org/10.3390/educsci16020311
Zhu, H., Sun, Y., et Yang, J. (2025). Towards responsible artificial intelligence in education: A systematic review on identifying and mitigating ethical risks. Humanities & Social Sciences Communications, 12, 1111. https://doi.org/10.1057/s41599-025-05252-6 DOI: https://doi.org/10.1057/s41599-025-05252-6