What Do Teachers Think About AI? An Empirical Study Based on the TPU-AIED-Q
Resumo
This study investigates Brazilian teachers’ perceptions of Artificial Intelligence (AI) in education using the TPU-AIED-Q instrument. Results from 143 respondents show generally positive attitudes, especially regarding AI’s impact on educational practices. Moderate concerns about ethical risks and limited AI knowledge were also observed. No significant differences were found across gender, institution type, age, or experience. The findings highlight the need for inclusive teacher training and policy initiatives to support critical and informed AI integration in schools.Referências
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Aoun, J. E. (2017). Robot-Proof: Higher Education in the Age of Artificial Intelligence. MIT Press.
Ertmer, P. A. (1999). Addressing first-and second-order barriers to change: Strategies for technology integration. Educational Technology Research and Development, 47(4):47–61.
Guerino, G. C., Rodrigues, L. A. L., Oliveira, L. S., Marinho, M., da Silva, T. E. V., Amorim, L., Dermeval, D., da Penha, R. S., Bittencourt, I. I., and Isotani, S. (2024). We see you: Understanding math teachers from brazilian public schools to design equitable educational technology. Revista Brasileira de Informática na Educação, 32:336–358.
Holmes, W., Bialik, M., and Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
Isotani, S., Bittencourt, I. I., Challco, G. C., et al. (2023). Aied unplugged: Leapfrogging the digital divide to reach the underserved. In Artificial Intelligence in Education, pages 948–950. Springer.
Long, D. and Magerko, B. (2020). What is ai literacy? competencies and design considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pages 1–16. ACM.
Luckin, R., Holmes, W., Griffiths, M., and Forcier, L. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson Education.
Pane, J. F., Steiner, E. D., Baird, M. D., and Hamilton, L. S. (2017). How does personalized learning affect student achievement? RAND Corporation.
Selwyn, N. (2019). Should Robots Replace Teachers? AI and the Future of Education. Polity Press.
Siemens, G. and Baker, R. S. d. (2012). Learning analytics and educational data mining: Towards communication and collaboration. In Proceedings of the 2nd international conference on learning analytics and knowledge, pages 252–254. ACM.
Silva, T. E. V. d. (2025). Desenho e validação psicométrica do questionário de percepção dos professores do uso de ia na educação (tpu-aied-q). Revista Iberoamericana de Tecnología en Educación y Educación en Tecnología.
Veloso, T. E., Chalco Challco, G., Rogrigues, L., Versuti, F. M., Sena da Penha, R., Silva Oliveira, L., Corredato Guerino, G., Cavalcanti de Amorim, L. F., Monteiro Marinho, M. L., Macario, V., Dermeval, D., Bittencourt, I. I., and Isotani, S. (2023). Its unplugged: Leapfrogging the digital divide for teaching numeracy skills in underserved populations. In Towards the Future of AI-augmented Human Tutoring in Math Learning 2023 - Proceedings of the Workshop on International Conference of Artificial Intelligence in Education co-located with The 24th International Conference on Artificial Intelligence in Education (AIED 2023). Springer.
West, D. M. and Allen, J. R. (2020, publisher=Brookings Institution). Turning Point: Policymaking in the Era of Artificial Intelligence.
Zawacki-Richter, O., Marín, V. I., Bond, M., and Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators? International Journal of Educational Technology in Higher Education, 16(1):1–27.
Aoun, J. E. (2017). Robot-Proof: Higher Education in the Age of Artificial Intelligence. MIT Press.
Ertmer, P. A. (1999). Addressing first-and second-order barriers to change: Strategies for technology integration. Educational Technology Research and Development, 47(4):47–61.
Guerino, G. C., Rodrigues, L. A. L., Oliveira, L. S., Marinho, M., da Silva, T. E. V., Amorim, L., Dermeval, D., da Penha, R. S., Bittencourt, I. I., and Isotani, S. (2024). We see you: Understanding math teachers from brazilian public schools to design equitable educational technology. Revista Brasileira de Informática na Educação, 32:336–358.
Holmes, W., Bialik, M., and Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
Isotani, S., Bittencourt, I. I., Challco, G. C., et al. (2023). Aied unplugged: Leapfrogging the digital divide to reach the underserved. In Artificial Intelligence in Education, pages 948–950. Springer.
Long, D. and Magerko, B. (2020). What is ai literacy? competencies and design considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pages 1–16. ACM.
Luckin, R., Holmes, W., Griffiths, M., and Forcier, L. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson Education.
Pane, J. F., Steiner, E. D., Baird, M. D., and Hamilton, L. S. (2017). How does personalized learning affect student achievement? RAND Corporation.
Selwyn, N. (2019). Should Robots Replace Teachers? AI and the Future of Education. Polity Press.
Siemens, G. and Baker, R. S. d. (2012). Learning analytics and educational data mining: Towards communication and collaboration. In Proceedings of the 2nd international conference on learning analytics and knowledge, pages 252–254. ACM.
Silva, T. E. V. d. (2025). Desenho e validação psicométrica do questionário de percepção dos professores do uso de ia na educação (tpu-aied-q). Revista Iberoamericana de Tecnología en Educación y Educación en Tecnología.
Veloso, T. E., Chalco Challco, G., Rogrigues, L., Versuti, F. M., Sena da Penha, R., Silva Oliveira, L., Corredato Guerino, G., Cavalcanti de Amorim, L. F., Monteiro Marinho, M. L., Macario, V., Dermeval, D., Bittencourt, I. I., and Isotani, S. (2023). Its unplugged: Leapfrogging the digital divide for teaching numeracy skills in underserved populations. In Towards the Future of AI-augmented Human Tutoring in Math Learning 2023 - Proceedings of the Workshop on International Conference of Artificial Intelligence in Education co-located with The 24th International Conference on Artificial Intelligence in Education (AIED 2023). Springer.
West, D. M. and Allen, J. R. (2020, publisher=Brookings Institution). Turning Point: Policymaking in the Era of Artificial Intelligence.
Zawacki-Richter, O., Marín, V. I., Bond, M., and Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators? International Journal of Educational Technology in Higher Education, 16(1):1–27.
Publicado
24/11/2025
Como Citar
SILVA, Thomaz Edson Veloso da; LIMA, André Araújo de; VELOSO, Ronathan Nascimento.
What Do Teachers Think About AI? An Empirical Study Based on the TPU-AIED-Q. In: WORKSHOP DE INFORMÁTICA NA ESCOLA (WIE), 31. , 2025, Curitiba/PR.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 588-597.
DOI: https://doi.org/10.5753/wie.2025.12600.
