CHATGPT AND AI TOOLS IN THE CLASSROOM: HOW TO INTEGRATE WITHOUT REPLACING CRITICAL THINKING
DOI:
https://doi.org/10.61164/erddwg72Keywords:
Inteligência artificial; ChatGPT; Educação; Pensamento crítico; Tecnologias digitais.Abstract
The rapid advancement of artificial intelligence (AI)-based technologies, such as ChatGPT, has significantly reshaped educational environments, raising urgent debates regarding their pedagogical integration. This article aims to critically examine both the potential and the risks of using generative AI tools in classroom settings, particularly in terms of preserving and fostering critical thinking among students. Although these technologies offer numerous possibilities for personalized learning, task automation, and broader access to knowledge, there is growing concern about their uncritical application, which may jeopardize the development of intellectual autonomy, ethical reflection, and creativity. Drawing on a comprehensive literature review that includes authors such as Selwyn (2021), Williamson (2022), Luckin (2023), Holmes (2021), Zawacki-Richter (2020), Knox (2023), Perrotta (2024), and Wang (2025), the article discusses the essential role of teachers in mediating the use of such tools and in designing pedagogical strategies that emphasize authorship, inquiry, and reflective judgment. It is argued that the mere adoption of AI tools without a critical and formative intentionality can result in technological dependency, dilute the educational value of writing, and constrain cognitive diversity. Therefore, it is advocated that AI be incorporated into pedagogical practices as an ally in the construction of meaningful learning, if it is anchored in ethical, critical, and democratic principles. Finally, the article points out directions for future research and suggests the development of public policies, ongoing teacher training, and updated curricula that promote a critical and conscious digital education.
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References
COPE, Bill et al. New learning: Transformational designs for pedagogy and assessment. 3. ed. Cambridge: Cambridge University Press, 2021.
HOLMES, Wayne; PORAYSKA-POMSTA, Katarzyna. AI and inclusive education: Speculative futures and emerging practices. British Journal of Educational Technology, v. 53, n. 2, p. 423–439, 2022.
HOLMES, Wayne et al. Ethics of AI in Education: Promises and Implications. Paris: UNESCO, 2022. Disponível em: https://unesdoc.unesco.org. Acesso em: 30 jul. 2025.
KNOX, Jeremy. AI and the future of education: Critical perspectives. London: Bloomsbury Academic, 2023.
LÉVY, Pierre. A inteligência coletiva na era digital. São Paulo: Loyola, 2020.
LUCKIN, Rose. AI in the classroom: The future of learning. London: UCL Press, 2022.
SELWYN, Neil. Should robots replace teachers? AI and the future of education. Cambridge: Polity Press, 2021.
WILLIAMSON, Ben; EYNON, Rebecca. Datafication and education: A critical approach to emerging data practices in schools. Learning, Media and Technology, v. 45, n. 1, p. 1–14, 2020.
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Copyright (c) 2026 Prof José Carlos Guimarães Jr, Hilke Carlayle de Medeiros Costa, Hellyegenes de Oliveira , Jefferson Fellipe Jahnke, Carlos Alberto Feitosa dos Santos, Marttem Costa de Santana, Isidro José Bezerra Maciel Fortaleza do Nascimento , Wellington Santos de Paula
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