Desenvolvendo o Framework CHAT para a Integração Ética entre Docentes e IA: Um Estudo de Métodos Mistos em Trinidad e Tobago
PDF (English)

Palavras-chave

IA
ChatGPT
Ensino Superior
Métodos mistos
Colaboração Docente-IA
UTAUT
TPACK
Integração Ética da IA

Como Citar

Baksh, S. (2026). Desenvolvendo o Framework CHAT para a Integração Ética entre Docentes e IA: Um Estudo de Métodos Mistos em Trinidad e Tobago. Review of Artificial Intelligence in Education, 7(i), e062. https://doi.org/10.37497/rev.artif.intell.educ.v7ii.62

Resumo

Objetivo: Este estudo apresenta o Framework CHAT (ChatGPT, Holístico, Adaptativo e Ensino), um modelo fundamentado no contexto que integra os modelos UTAUT, TPACK e a Política de IA na Educação da UNESCO, com o objetivo de apoiar uma colaboração ética e eficaz entre docentes e inteligência artificial. A pesquisa investiga como docentes do ensino superior em Trinidad e Tobago percebem, adotam e integram ferramentas de IA generativa, especialmente o ChatGPT, em suas práticas pedagógicas e administrativas.

Método: Foi adotado um delineamento de métodos mistos sequencial explicativo. Inicialmente, realizou-se uma pesquisa quantitativa com 101 docentes, seguida de 11 entrevistas semiestruturadas e um grupo focal (n = 6) para explicar os resultados estatísticos. Os dados quantitativos foram analisados por meio de estatística descritiva, correlação de Spearman e ANOVA de uma via. Os dados qualitativos foram analisados tematicamente, com o objetivo de interpretar e aprofundar os achados quantitativos.

Resultados: Os resultados indicaram uma adoção moderada do ChatGPT (M = 3,47; DP = 0,81), sendo que a expectativa de esforço (ρ = 0,62; p < 0,01) e as condições facilitadoras (ρ = 0,57; p < 0,01) apresentaram as correlações positivas mais fortes com a adoção. Não foram identificadas diferenças significativas entre gênero, idade ou nível de escolaridade (p > 0,05). Os achados qualitativos revelaram entusiasmo em relação à eficiência instrucional da IA, mas também levantaram preocupações éticas relacionadas ao plágio, ao viés e à privacidade de dados.

Contribuição: Este estudo contribui com um framework empiricamente fundamentado e centrado no ser humano, que explica como as condições de adoção, as práticas pedagógicas e a mediação ética interagem na integração entre docentes e IA no ensino superior do Caribe.

 

Implicações práticas: O Framework CHAT oferece a formuladores de políticas públicas, gestores e educadores um modelo centrado no ser humano para orientar iniciativas responsáveis de desenvolvimento profissional e estratégias institucionais para o uso equitativo e sustentável da inteligência artificial.

https://doi.org/10.37497/rev.artif.intell.educ.v7ii.62
PDF (English)

Referências

Ansari, A. N., Ahmad, S., & Bhutta, S. M. (2023). Mapping the global evidence around the use of ChatGPT in higher education. Education and Information Technologies. Advance online publication. https://doi.org/10.1007/s10639-023-12223-4

Ba, S., Liu, Y., Chen, R., & Zhang, T. (2025). Unraveling the mechanisms and effectiveness of AI-assisted feedback in education: A systematic literature review. Computers & Education Open, 6, 100284. https://doi.org/10.1016/j.caeo.2025.100284

Baksh, S. (2025). Investigating students’ AI usage through the Community of Inquiry (CoI) framework: A mixed-method study in the Caribbean region. SDG Studies, 6, e036. https://doi.org/10.37497/sdgs.v6istudies.36

Bissessar, C. (2023). To use or not to use ChatGPT and assistive artificial intelligence tools in higher education institutions? The modern-day conundrum – students’ and faculty’s perspectives. Equity in Education & Society. https://journals.sagepub.com/doi/10.1177/27526461231215083

Bowen, G. A. (2009). Document Analysis as a Qualitative Research Method. Qualitative Research Journal, 9, 27–40. https://doi.org/10.3316/QRJ0902027

Bowen, P., Rose, R., & Pilkington, A. (2017). Mixed methods—Theory and practice: Sequential, explanatory approach. The International Journal of Quantitative and Qualitative Research Methods, 5(2), 10–27. https://eajournals.org/ijqqrm/vol-5-issue-2-may-2017/mixed-methods-theory-practice-sequential-explanatory-approach/

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. APA PsycNet. https://psycnet.apa.org/record/2006-06991-002

Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159. https://doi.org/10.1037/0033-2909.112.1.155

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approach (Fifth edition). SAGE Publications, Inc. https://cmc.marmot.org/Record/.b57955906

Creswell, J. W., & Poth, C. N. (2018). Qualitative Inquiry and Research Design. SAGE Publications Inc. https://us.sagepub.com/en-us/nam/qualitative-inquiry-and-research-design/book246896

Daly, J. (2025). AI ethics and governance in tertiary education: Global frameworks and local implications. Computers & Education Open, 8, 100188.

Fauzi, F., Tuhuteru, L., Sampe, F., Ausat, A. M. A., & Hatta, H. R. (2023). Analysing the Role of ChatGPT in Improving Student Productivity in Higher Education. Journal on Education, 5, 14886–14891. https://doi.org/10.31004/joe.v5i4.2563

Fleckenstein, J., Liebenow, L. W., & Meyer, J. (2023). Automated feedback and writing: A multi-level meta-analysis of effects on students’ performance. Frontiers in Artificial Intelligence, 6, 1162454. https://doi.org/10.3389/frai.2023.1162454

García-López, I. M., & Trujillo-Liñán, L. (2025). Ethical and regulatory challenges of generative AI in education: A systematic review. Frontiers in Education. https://doi.org/10.3389/feduc.2025.1565938

Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial intelligence in education: Promises and implications for teaching and learning (2nd ed.). Center for Curriculum Redesign. https://curriculumredesign.org

Holstein, K., Aleven, V., & Rummel, N. (2025). Generative artificial intelligence in pedagogical practices: A systematic review of empirical studies (2022–2024). Cogent Education, 12(1), Article 2485499. https://doi.org/10.1080/2331186x.2025.2485499

Hwang, G.-J., Chiu, L.-Y., & Chen, C.-Y. (2023). Modeling teachers’ adoption of AI-powered educational tools: A study integrating UTAUT and TPACK. Multimodal Technologies and Interaction, 9(8), 84. https://doi.org/10.3390/mti9080084

Ivankova, N. V., Creswell, J. W., & Stick, S. L. (2006). Using mixed-methods sequential explanatory design: From theory to practice. Field Methods, 18(1), 3–20. https://doi.org/10.1177/1525822X05282260

Julien, G. (2024). How artificial intelligence (AI) impacts inclusive education. Educational Research and Reviews, 19(6), 95–103. https://files.eric.ed.gov/fulltext/EJ1434316.pdf.

Keith, L. R., & Waldron, L. (2024). AI-driven educational paradigm for Sustainable Development Goal 4: A Caribbean perspective. The UWI Quality Education Forum, 28, 151-171. https://journals.sta.uwi.edu/ojs/index.php/qef/issue/view/875/19

Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Sage Publications. https://doi.org/10.1016/0147-1767(85)90062-8

Madden, O. N., McKenzie, N., & Daley, J. L. (2025). Effects of ChatGPT and generative artificial intelligence in higher education: Voices of Jamaican academic faculty. International Journal of Education and Humanities, 5(2). https://www.ijeh.com/article/2025-feb-jamaica-ai

Matthew J. Koehler, Punya Mishra, Kristen Kereluik, Tae Seob Shin & Charles R. Graham (2022). The technological pedagogical content knowledge (TPACK) framework. In Handbook of Research on Educational Communications and Technology (5th ed., pp. 101–118). Springer. The chapter is available at SpringerLink: https://doi.org/10.1007/978-1-4614-3185-5_9

Mishra, P., & Koehler, M. J. (2006). Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge. Teachers College Record, 108, 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x

Montenegro-Rueda, M., Fernández-Cerero, J., Fernández-Batanero, J. M., & López-Meneses, E. (2023). Impact of the Implementation of ChatGPT in Education: A Systematic Review. Computers, 12, 153. https://doi.org/10.3390/computers12080153

Morris, S., Samuels, S., & Morris, C. (2025). Navigating tomorrow’s Jamaican classrooms: Assessing the impact of AI on teacher training during teaching practicum in Jamaica. American Journal of Educational Research, 13(1), 1–16. https://doi.org/10.12691/education-13-1-1

Murad, I. A., Surameery, N. M. S., & Shakor, M. Y. (2023). Adopting ChatGPT to Enhance Educational Experiences. International Journal of Information Technology & Computer Engineering (IJITC) ISSN: 2455-5290, 3, 20–25. https://doi.org/10.55529/ijitc.35.20.25

Mustafa, S., Ali, W., Ameen, A., & Kumar, R. (2024). A systematic review of literature reviews on artificial intelligence in education (AIED): A roadmap to a future research agenda. Smart Learning Environments, 11(1), Article 7. https://doi.org/10.1186/s40561-024-00350

Panagopoulou, F., Parpoula, C., & Karpouzis, K. (2023). Legal and ethical considerations regarding the use of ChatGPT in education. Preprint. arXiv. https://doi.org/10.48550/arxiv.2306.10037

Perkins, M. (2023). Academic integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond. Journal of University Teaching and Learning Practice, 20. https://doi.org/10.53761/1.20.02.07

Saldaña, J. (2016). The Coding Manual for Qualitative Researchers. Sage. https://emotrab.ufba.br/wp-content/uploads/2020/09/Saldana-2013-TheCodingManualforQualitativeResearchers.pdf

Shamsudin, N. M., & Aris, S. R. S. (2023). Perspectives of ChatGPT for Teachers Trainee Programs in Designing STEM Lesson. International Journal of Academic Research in Progressive Education and Development, 12. https://doi.org/10.6007/ijarped/v12-i3/19219

Strzelecki, A. (2023). To use or not to use ChatGPT in higher education? A study of students’ acceptance and use of technology. Interactive Learning Environments, 1–14. https://doi.org/10.1080/10494820.2023.2209881

Roberts, L. N., & Solomon, F. N. (2024). Navigating the AI landscape: Student and teacher perceptions of AI in assessments in high school and college settings. In AI-enhanced teaching methods (pp. 268–285). IGI Global. https://www.igi-global.com/chapter/navigating-the-ai-landscape/345066

Roberts, L. N. (2025). Navigating new frontiers: AI in assessments from the perspectives of teachers and students. In Effective instructional design informed by AI. IGI Global. https://www.igi-global.com/chapter/navigating-new-frontiers/369672

Slimi, Z. (2023). The impact of artificial intelligence on higher education: An empirical study. European Journal of Educational Sciences, 10(1), 17–33. https://doi.org/10.19044/ejes.v10no1a17

UNESCO. (2023). Generative AI and the future of education. Unesco.org. https://unesdoc.unesco.org/ark:/48223/pf0000385877

UNESCO. (2023). Guidance for generative AI in education and research. United Nations Educational, Scientific and Cultural Organization. https://unesdoc.unesco.org/ark:/48223/pf0000386693

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540

Vicky Dwi Wicaksono. (2022). Simplification of Lesson Plan: Elementary School Teacher Perspective. Pedagogia: Jurnal Pendidikan, 11, 77–88. https://doi.org/10.21070/pedagogia.v11i1.1477

Yakin, A. A., Muthmainnah, M., Apriani, E., Obaid, A. J., & Elngar, A. A. (2023). Transforming Online Learning Management: Generative Models on ChatGPT to Enhance Online Student Engagement Scale (OLE). Idarah (Jurnal Pendidikan Dan Kependidikan), 7, 135–148. https://doi.org/10.47766/idarah.v7i2.1514

Yan, S., Sha, L., Zhao, Li, Martinez-Maldonado, V., Chen, J., Li, X., Jin, A., Gašević, D. (2024). Generative AI in higher education: A global perspective of institutional adoption policies and guidelines. Computers & Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2024.100163

Zawacki-Richter, O., Marín, V.I., Bond, M. et al. Systematic review of research on artificial intelligence applications in higher education – where are the educators?. Int J Educ Technol High Educ 16, 39 (2019). https://doi.org/10.1186/s41239-019-0171-0

Creative Commons License
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.

Copyright (c) 2025 Sharlene Baksh