Design Centrado no Humano para IA na Educação no Brasil
Resumo
Este projeto de pesquisa de mestrado investiga a percepção de professores, alunos e a comunidade escolar sobre como a Inteligência Artificial (IA) pode ser usada para melhorar a qualidade, os métodos e a experiência do ensino no Brasil. Para isso, serão realizadas entrevistas semiestruturadas para coletar dados qualitativos, analisados tematicamente. Como parte da investigação, serão desenvolvidos protótipos utilizando design socialmente consciente e co-design, permitindo que as partes interessadas reflitam sobre o tema. Espera-se construir um conhecimento compartilhado sobre como a IA pode ser apropriada pela comunidade de ensino de forma socialmente consciente, promovendo maior literacia em IA e informando políticas educacionais.
Palavras-chave:
Inteligência Artificial na Educação, Design Centrado no Humano, Co-design, Literacia em IA, Inteligência Artificial Centrada no Humano, Design Socialmente Conciente,
Referências
Auernhammer, J. (2020). Human-centered ai: The role of human-centered design research in the development of ai.
Baranauskas, M. C. C., Hornung, H., and Martins, M. C. (2008). Design socialmente responsável: desafios de interface de usuário no contexto brasileiro. Proc. of the XXXV SEMISH/CSBC2008, pages 91–105.
Baranauskas, M. C. C., Martins, M. C., and Valente, J. A. (2013). Codesign de Redes Digitais: tecnologia e educação a serviço da inclusão social. Penso Editora.
Braun, V. and Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2):77–101.
Braun, V. and Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4):589–597.
Chen, L., Chen, P., and Lin, Z. (2020a). Artificial intelligence in education: A review. Ieee Access, 8:75264–75278.
Chen, X., Xie, H., Zou, D., and Hwang, G.-J. (2020b). Application and theory gaps during the rise of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1:100002.
Liu, K. (2000). Semiotics in information systems engineering. Cambridge University Press.
Remy, C., Bates, O., Dix, A., Thomas, V., Hazas, M., Friday, A., and Huang, E. M. (2018). Evaluation beyond usability: Validating sustainable hci research. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, pages 1–14.
Shneiderman, B. (2022). Human-centered AI. Oxford University Press.
Smith, F., Sadek, M., and Mougenot, C. (2023). Empowering end-users in co-designing ai: An ai literacy card-based toolkit for non-technical audiences. In 36th International BCS Human-Computer Interaction Conference, pages 13–22. BCS Learning & Development.
Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., and Du, Z. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems with Applications, 252:124167.
Wood, L. E. (1997). Semi-structured interviewing for user-centered design. interactions, 4(2):48–61.
Zhang, K. and Aslan, A. B. (2021). Ai technologies for education: Recent research & future directions. Computers and Education: Artificial Intelligence, 2:100025.
Baranauskas, M. C. C., Hornung, H., and Martins, M. C. (2008). Design socialmente responsável: desafios de interface de usuário no contexto brasileiro. Proc. of the XXXV SEMISH/CSBC2008, pages 91–105.
Baranauskas, M. C. C., Martins, M. C., and Valente, J. A. (2013). Codesign de Redes Digitais: tecnologia e educação a serviço da inclusão social. Penso Editora.
Braun, V. and Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2):77–101.
Braun, V. and Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4):589–597.
Chen, L., Chen, P., and Lin, Z. (2020a). Artificial intelligence in education: A review. Ieee Access, 8:75264–75278.
Chen, X., Xie, H., Zou, D., and Hwang, G.-J. (2020b). Application and theory gaps during the rise of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1:100002.
Liu, K. (2000). Semiotics in information systems engineering. Cambridge University Press.
Remy, C., Bates, O., Dix, A., Thomas, V., Hazas, M., Friday, A., and Huang, E. M. (2018). Evaluation beyond usability: Validating sustainable hci research. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, pages 1–14.
Shneiderman, B. (2022). Human-centered AI. Oxford University Press.
Smith, F., Sadek, M., and Mougenot, C. (2023). Empowering end-users in co-designing ai: An ai literacy card-based toolkit for non-technical audiences. In 36th International BCS Human-Computer Interaction Conference, pages 13–22. BCS Learning & Development.
Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., and Du, Z. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems with Applications, 252:124167.
Wood, L. E. (1997). Semi-structured interviewing for user-centered design. interactions, 4(2):48–61.
Zhang, K. and Aslan, A. B. (2021). Ai technologies for education: Recent research & future directions. Computers and Education: Artificial Intelligence, 2:100025.
Publicado
04/11/2024
Como Citar
GUARISE, Lucas; DUARTE, Emanuel Felipe.
Design Centrado no Humano para IA na Educação no Brasil. In: WORKSHOP DE PÓS-GRADUAÇÃO: GRADUATE STUDENTS EXPERIENCE (STUDX) - CONGRESSO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (CBIE), 13. , 2024, Rio de Janeiro/RJ.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 308-313.
DOI: https://doi.org/10.5753/cbie_estendido.2024.243514.