Voces y Silencios. Revista Latinoamericana de Educación

Voces silec. rev. latinoam. educ. | eISSN 2215-8421

Inteligência além do artificial: uma abordagem sociocultural no ensino de engenharia e computação

No. 2 (2025-05-31)
  • Jonathan Álvarez-Ariza
    Corporación Universitaria Minuto de Dios-UNIMINUTO
    ORCID iD: https://orcid.org/0000-0002-4024-1349
  • Carola Hernandez-Hernadez
    Universidad de Los Andes
    ORCID iD: https://orcid.org/0000-0002-4062-9140
  • Milena Benítez-Restrepo
    Universidad del Valle
    ORCID iD: https://orcid.org/0000-0003-1744-6749
  • Santiago Ojeda-Ramírez
    Universidad de California
    ORCID iD: https://orcid.org/0000-0003-2044-7486
https://doi.org/10.18175/VyS16.2.2025.3

Resumo

A inteligência artificial (IA) surge num contexto social, político e cultural com transformações individuais, coletivas e globais, que permeiam os sistemas educacionais. Embora as ferramentas tecnológicas de IA tenham sido geradas para contextos de trabalho, há alguns anos entraram em processos de formação, e vieram para ficar. Aqui o ensino de engenharia e computação não é exceção, como abordado neste artigo. Este fenómeno global tem gerado incertezas, ansiedades, desafios e questões intermináveis,   incluindo a contemplação da possibilidade de que todas as ferramentas de IA eventualmente ameacem a existência da espécie humana. No entanto, é justamente esse tipo de preocupação que surge quando o foco principal está voltado para o design e a programação da ferramenta per se, enquanto aspectos contextuais, sociais e culturais dos processos educativos, elementos que também precisam ser abordados na formação de profissionais de engenharia e computação, acabam sendo negligenciados. Como resultado da reflexão e dos resultados de uma scoping review de artigos publicados entre 2023 e 2024, juntamente com as experiências docentes dos autores, propõe-se uma abordagem sociocultural do ensino da IA na formação em engenharia e computação, composta pelas dimensões cognitiva, situada e crítica.

Palavras-chave: abordagem sociocultural em engenharia, cultura e inteligência artificial, ensino de engenharia, inteligência artificial

Referências

Aggrawal, S. y Magana, A. J. (2024). Teamwork conflict management training and conflict resolution practice via large language models. Future Internet, 16(5), 177. https://doi.org/10.3390/fi16050177

Amado-Salvatierra, H. R., Morales-Chan, M., Hernandez-Rizzardini, R. y Rosales, M. (2024). Exploring educators’ perceptions: Artificial intelligence integration in higher education. En C. da Rocha

Brito y M. M. Ciampi (eds.), 2024 IEEE World Engineering Education Conference (EDUNINE) (pp. 1-5). Institute of Electrical and Electronics Engineers, Inc. (IEEE). https://doi.org/10.1109/EDUNINE60625.2024.10500578

Arksey, H. y O’Malley, L. (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19-32. https://doi.org/10.1080/1364557032000119616

Baek, C., Tate, T. y Warschauer, M. (2024). “ChatGPT seems too good to be true”: College students’ use and perceptions of generative AI. Computers and Education: Artificial Intelligence, 100294. https://doi.org/10.1016/j.caeai.2024.100294

Buolamwini, J. y Gebru, T. (2018). Gender shades: Intersectional accuracy disparities in commercial gender classification. Proceedings of Machine Learning Research, 81, 77-91.

Choudhuri, R., Liu, D., Steinmacher, I., Gerosa, M. y Sarma, A. (2024). How far are we? The triumphs and trials of generative AI in learning software engineering. En Proceedings of the IEEE/ACM 46th International Conference on Software Engineering (pp. 1-13). Association for Computing Machinery. https://doi.org/10.1145/3597503.3639201

Chukwuere, J. E. (2024). The use of ChatGPT in higher education: The advantages and disadvantages [preprint]. arXiv (arXiv:2403.19245). https://doi.org/10.48550/arXiv.2403.19245

Crompton, H. y Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20(1), 22. https://doi.org/10.1186/s41239-023-00392-8

Crompton, H. y Burke, D. (2024). The educational affordances and challenges of ChatGPT: State of the field. TechTrends, 68(2), 380-392. https://doi.org/10.1007/s11528-024-00939-0

Di Battista, A., Grayling, S., Hasselaar, E., Leopold, T., Li, R., Rayner, M. y Zahidi, S. (2023). Future of jobs report 2023. World Economic Forum. https://www.weforum.org/publications/the-future-of-jobs-report-2023/

Dunnigan, D., Henriksen, P., Mishra, R. y Lake, R. (2023). “Can we just please slow it all down?” School leaders take on ChatGPT. TechTrends, 67(6), 878-884. https://doi.org/10.1007/s11528-023-00914-1

Eager, B. y Brunton, R. (2023). Prompting higher education towards AI-augmented teaching and learning practice. Journal of University Teaching and Learning Practice, 20(5). https://doi.org/10.53761/1.20.5.02

Garcia, L., Ojeda-Ramirez, S. y Warschauer, M. (2024). Restorying with AI art among Latinx elementary students. En Proceedings of the 55th ACM Technical Symposium on Computer Science Education (vol. 2, pp. 1648-1649). https://doi.org/10.1145/3626253.3635618

Grundy, S. (1994). Producto o praxis del curriculum. Ediciones Morata.

Henriksen, D., Woo, L. J. y Mishra, P. (2023). Creative uses of ChatGPT for education: A conversation with Ethan Mollick. TechTrends, 67(4), 595-600. https://doi.org/10.1007/s11528-023-00862-w

Kafai, Y., Proctor, C. y Lui, D. (2020). From theory bias to theory dialogue: Embracing cognitive, situated, and critical framings of computational thinking in K-12 CS education. ACM Inroads, 11(1), 44-53. https://doi.org/10.1145/3381887

Kim, D., Majdara, A. y Olson, W. (2024). A pilot study inquiring into the impact of ChatGPT on lab report writing in introductory engineering labs. International Journal of Technology in Education, 7(2), 259-289. https://doi.org/10.46328/ijte.691

Kleba, J. B. y Reina-Rozo, J. D. (2021). Fostering peace engineering and rethinking development: A Latin American view. Technological Forecasting and Social Change, 167, 120711. https://doi.org/10.1016/j.techfore.2021.120711

Lauren, P. y Watta, P. (2023). Work-in-progress: Integrating generative AI with evidence-based learning

strategies in computer science and engineering education. En 2023 IEEE Frontiers in Education Conference (FIE) (pp. 1-5). Institute of Electrical and Electronics Engineers, Inc. (IEEE). https://doi.org/10.1109/FIE58773.2023.10342970

Lave, J. y Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge University Press.

Logan, C. (2024). Learning about and against generative AI through mapping generative AI’s ecologies and developing a Luddite praxis. En Proceedings of the 18th International Conference of the Learning Sciences-ICLS 2024 (pp. 362-369). International Society of the Learning Sciences. https://doi.org/10.22318/icls2024.259570

Long, D. y Magerko, B. (2020). What is AI literacy? Competencies and design considerations. En Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-16). Association for Computing Machinery. https://doi.org/10.1145/3313831.3376727

Maslej, N., Fattorini, L., Perrault, R., Parli, V., Reuel, A., Brynjolfsson, E., Etchemendy, J., Ligett, K., Lyons, T., Manyika, J., Niebles, J. C., Shoham, Y., Wald, R. y Clark, J. (2024). Artificial Intelligence Index Report 2024. Stanford University. http://doi.org/20.500.12592/h70s46h

Morales Chan, M., Amado-Salvatierra, H. R., Hernandez-Rizzardini, R. y De la Roca, M. (2023). The potential role of AI-based Chatbots in Engineering Education. Experiences from a teaching perspective. En 2023 IEEE Frontiers in Education Conference (FIE) (pp. 1-5). Institute of Electrical and Electronics Engineers, Inc. (IEEE). https://doi.org/10.1109/FIE58773.2023.10343296

Nichols, T. P. y Stornaiuolo, A. (2019). Assembling “digital literacies”: Contingent pasts, possible futures. Media and Communication, 7(2), 14-24. https://doi.org/10.17645/mac.v7i2.1946

Okolo, C. T. (2024). Beyond AI hype: A hands-on workshop series for enhancing AI literacy in middle and high school students. En Respect 2024: Proceedings of the 2024 on RESPECT Annual Conference (pp. 86-93). Association for Computing Machinery. https://doi.org/10.1145/3653666.3656075

Parada-Cabaleiro, E. (2024). Techville’s chronicles: A music pedagogy project to foster children’s AI

literacy through co-creativity and multimedia storytelling. En O. Poquet, A. Ortega-Arranz, O. Viberg, I.-A. Chounta, B. McLaren y J. Jovanovic (eds.), Proceedings of the 16th International Conference on Computer Supported Education (vol. 1, pp. 623-630). Science and Technology Publications, Lda. https://doi.org/10.5220/0012731000003693

Posada, J. (2022). Embedded reproduction in platform data work. Information, Communication & Society, 25(6), 816-834. https://doi.org/10.1080/1369118X.2022.2049849

Riley, D. (2008). Engineering and social justice. En Engineering and Social Justice (pp. 47-106). Springer International Publishing.

Roberts, J. y Mohamed, A. (2024). Generative AI in CS education: Literature review through a SWOT lens. En Y. Khmelevsky y B. Bird (eds.), WCCCE ‘24: Proceedings of 26th Western Canadian Conference on Computing Education (pp. 1-6). Association for Computing Machinery. https://doi.org/10.1145/3660650.3660657

Shaer, O. y Cooper, A. (2024). Integrating generative artificial intelligence to a project-based tangible interaction course. IEEE Pervasive Computing, 23(1), 63-69. https://doi.org/10.1109/MPRV.2023.3346548

Sheard, J., Denny, P., Hellas, A., Leinonen, J., Malmi, L. y Simon. (2024). Instructor perceptions of AI code generation tools - A multi-institutional interview study. En SIGCSE 2024: Proceedings of the 55th ACM Technical Symposium on Computer Science Education (vol. 1, 1223-1229). https://doi.org/10.1145/3626252.3630880

Taulli, T. (2024). AI-assisted programming: Better planning, coding, testing, and deployment. O’Reilly Media.

Tricco, A. C., Lillie, E., Zarin, W., O’Brien, K. K., Colquhoun, H., Levac, D., Moher, D., Peters, M. D. J., Horsley, T., Weeks, L., Hempel, S., Akl, E. A., Chang, C., McGowan, J., Stewart, L., Hartling, L., Aldcroft, A., Wilson, M. G., Garritty, C. … y Straus, S. E. (2018). PRISMA extension for scoping reviews (PRISMA-ScR): Checklist and explanation. Annals of Internal Medicine, 169(7), 467-473. https://doi.org/10.7326/M18-0850

Vakil, S. (2018). Ethics, identity, and political vision: Toward a justice-centered approach to equity in

computer science education. Harvard Educational Review, 88(1), 26-52. https://doi.org/10.17763/1943-5045-88.1.26

Vygotsky, L. S. (1979). El desarrollo de los procesos psicológicos superiores. Grijalbo.