New Paradigm of What Learning Outcomes Are: The Role of Generative AI
Resumo
This essay explores the transformative potential of generative AI in redefining learning outcomes and assessment practices in education. We challenge the traditional reliance on grades and standardized tests, advocating for assessments that prioritize knowledge application over recall. The essay also raises critical questions about learning accountability and equity, particularly in the context of AI's impact on underserved communities. By embracing educometrics and focusing on personalized, adaptive learning environments, we argue that AI can enhance both formative and reflective assessment processes, provided that equitable access to these technologies is ensured for all students.
Palavras-chave:
New Paradigm of What Learning Outcomes Are: The Role of Generative AI
Referências
Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al. (2020). Language models are few-shot learners. Advances in Neural Information Processing Systems, 33:1877–1901.
Hillmayr, D., Ziernwald, L., Reinhold, F., Hofer, S. I., and Reiss, K. M. (2020). The potential of digital tools to enhance mathematics and science learning in secondary schools: A context-specific meta-analysis. Computers & Education, 153:103897.
Isotani, S., Bittencourt, I. I., Challco, G. C., Dermeval, D., and Mello, R. F. (2023). Aied unplugged: Leapfrogging the digital divide to reach the underserved. In Artificial Intelligence in Education, pages 253–271. Springer.
Shute, V. J. (2008). Focus on formative feedback. Review of Educational Research, 78(1):153–189.
Silva, T. E. V. d. (2017). Educometrics: From Theory to Application. PhD thesis, Universidade Federal do Ceará. PhD Thesis.
Hillmayr, D., Ziernwald, L., Reinhold, F., Hofer, S. I., and Reiss, K. M. (2020). The potential of digital tools to enhance mathematics and science learning in secondary schools: A context-specific meta-analysis. Computers & Education, 153:103897.
Isotani, S., Bittencourt, I. I., Challco, G. C., Dermeval, D., and Mello, R. F. (2023). Aied unplugged: Leapfrogging the digital divide to reach the underserved. In Artificial Intelligence in Education, pages 253–271. Springer.
Shute, V. J. (2008). Focus on formative feedback. Review of Educational Research, 78(1):153–189.
Silva, T. E. V. d. (2017). Educometrics: From Theory to Application. PhD thesis, Universidade Federal do Ceará. PhD Thesis.
Publicado
04/11/2024
Como Citar
SILVA, Thomaz E. V. da.
New Paradigm of What Learning Outcomes Are: The Role of Generative AI. In: WORKSHOP UMA TARDE NA URCA: ENCONTRO FILOSÓFICO SOBRE INFORMÁTICA NA EDUCAÇÃO (URCA), 1. , 2024, Rio de Janeiro/RJ.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 6-11.
DOI: https://doi.org/10.5753/urca.2024.245602.