Teacher Education for Generative AI and Accessibility
DOI:
https://doi.org/10.22169/revint.v21.e26do202Keywords:
generative artificial intelligence, teacher education, accessibility, inclusion, deaf educationAbstract
This scoping review systematically mapped literature (2022–2026) on teacher education for generative artificial intelligence with emphasis on accessibility for persons with disabilities. Searches across five databases (Scopus, Web of Science, ERIC, SciELO, REDIB) identified 28 included studies. Findings reveal: incipient recognition of accessibility as a critical dimension of teacher education for AI; severe gaps in training for linguistic diversity contexts and bilingual Deaf education; and amplified risk of algorithmic exclusion in the Global South due to low data quality in non-hegemonic languages. Teacher education for generative AI must integrate critical competency frameworks with active participation of persons with disabilities.
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ARKSEY, Hilary; O'MALLEY, Lisa. Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, v. 8, n. 1, p. 19-32, 2005. DOI: https://doi.org/10.1080/1364557032000119616
BRAUN, Virginia; CLARKE, Victoria. Using thematic analysis in psychology. Qualitative Research in Psychology, v. 3, n. 2, p. 77-101, 2006. DOI: https://doi.org/10.1191/1478088706qp063oa
CHIU, Thomas K. F. et al. A systematic review of generative AI for teaching and learning practice. Education Sciences, v. 14, n. 6, art. 636, 2024. DOI: https://doi.org/10.3390/educsci14060636
CONTRERAS, Jose. A autonomia de professores. 2. ed. São Paulo: Cortez, 2012.
CROMPTON, Helen; BURKE, Diane. Artificial intelligence in higher education: the state of the field. International Journal of Educational Technology in Higher Education, v. 20, art. 22, 2023. DOI: https://doi.org/10.1186/s41239-023-00392-8
FREIRE, Paulo. Pedagogia da autonomia: saberes necessários à prática educativa. São Paulo: Paz e Terra, 1996.
GALASSO, Bruno Jose Betti. Acessibilidade digital e ecossistemas bilíngues para a educação de surdos. In: ENCONTRO NACIONAL DE TECNOLOGIA EDUCACIONAL, 12., 2023, São Paulo. Anais [...]. São Paulo: UNIFESP, 2023.
GALASSO, Bruno Jose Betti. Beyond phonocentrism in generative AI: a critical framework for visuo-spatial human-AI interaction in higher education. International Journal of Educational Technology in Higher Education, 2025.
GALASSO, Bruno Jose Betti. Inteligencia artificial generativa y formación docente: competencias emergentes en América Latina. Actualidades Investigativas en Educación, v. 26, n. 1, 2026.
GESSER, Audrei. Libras? Que língua é essa?: crenças e preconceitos em torno da língua de sinais e da realidade surda. São Paulo: Parábola Editorial, 2009.
HOLMES, Wayne; BIALIK, Maya; FADEL, Charles. Artificial intelligence in education: promises and implications for teaching and learning. Boston: Center for Curriculum Redesign, 2023.
KASNECI, Enkelejda et al. ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, v. 103, art. 102274, 2023. DOI: https://doi.org/10.1016/j.lindif.2023.102274
LEVAC, Danielle; COLQUHOUN, Heather; O'BRIEN, Kelly K. Scoping studies: advancing the methodology. Implementation Science, v. 5, art. 69, 2010. DOI: https://doi.org/10.1186/1748-5908-5-69
LIANG, Weixin et al. GPT detectors are biased against non-native English writers. Patterns, v. 4, n. 7, art. 100779, 2023. DOI: https://doi.org/10.1016/j.patter.2023.100779
LUCKIN, Rose et al. Intelligence unleashed: an argument for AI as a tool for teachers. London: Pearson, 2016.
MISHRA, Punya; KOEHLER, Matthew J. Technological pedagogical content knowledge: a framework for teacher knowledge. Teachers College Record, v. 108, n. 6, p. 1017-1054, 2006. DOI: https://doi.org/10.1111/j.1467-9620.2006.00684.x
MISHRA, Punya; WARR, Melissa; ISLAM, Rezwan. TPACK in the age of ChatGPT and Generative AI. Journal of Digital Learning in Teacher Education, v. 40, n. 2, 2024. DOI: https://doi.org/10.1080/21532974.2024.2305650
NÓVOA, António. Os professores e a sua formação num tempo de metamorfose da escola. Educação & Realidade, Porto Alegre, v. 44, n. 3, e84910, 2019. DOI: https://doi.org/10.1590/2175-623684910
OECD. OECD Digital Education Outlook 2023: towards an effective digital education ecosystem. Paris: OECD Publishing, 2023. DOI: https://doi.org/10.1787/c74f03de-en
PETERS, Micah D. J. et al. Updated methodological guidance for the conduct of scoping reviews. JBI Evidence Synthesis, v. 18, n. 10, p. 2119-2126, 2020. DOI: https://doi.org/10.11124/JBIES-20-00167
QUADROS, Ronice Müller de. Educação de surdos: a aquisição da linguagem. Porto Alegre: Artmed, 1997.
REDECKER, Christine; PUNIE, Yves. European Framework for the Digital Competence of Educators: DigCompEdu. Luxembourg: Publications Office of the European Union, 2017. DOI: https://doi.org/10.2760/159770
SELWYN, Neil. Should robots replace teachers? AI and the future of education. Cambridge: Polity Press, 2019.
SHULMAN, Lee S. Those who understand: knowledge growth in teaching. Educational Researcher, v. 15, n. 2, p. 4-14, 1986. DOI: https://doi.org/10.3102/0013189X015002004
SKLIAR, Carlos (org.). A surdez: um olhar sobre as diferenças. Porto Alegre: Mediação, 1998.
STROBEL, Karin. As imagens do outro sobre a cultura surda. Florianópolis: Editora da UFSC, 2008.
TARDIF, Maurice. Saberes docentes e formação profissional. 17. ed. Petrópolis: Vozes, 2014.
TRICCO, Andrea C. et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Annals of Internal Medicine, v. 169, n. 7, p. 467-473, 2018. DOI: https://doi.org/10.7326/M18-0850
UNESCO. Guidance for generative AI in education and research. Paris: UNESCO, 2023. Disponível em: https://unesdoc.unesco.org/ark:/48223/pf0000386693. Acesso em: 10 fev. 2026.
WILLIAMSON, Ben. Big data in education: the digital future of learning, policy and practice. London: SAGE, 2017.
ZUBOFF, Shoshana. The age of surveillance capitalism: the fight for a human future at the new frontier of power. New York: PublicAffairs, 2019.
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