Geração de Dicas de Próximo Passo utilizando Large Language Models (LLMs)
Resumo
Este artigo não possui um resumo.Referências
Agrawal, V., Singla, P., Miglani, A. S., Garg, S., and Mangal, A. (2024). Give me a hint: Can llms take a hint to solve math problems? arXiv preprint arXiv:2410.05915.
Birillo, A., Artser, E., Potriasaeva, A., Vlasov, I., Dzialets, K., Golubev, Y., Gerasimov, I., Keuning, H., and Bryksin, T. (2024). One step at a time: Combining llms and static analysis to generate next-step hints for programming tasks. In Proceedings of the 24th Koli Calling International Conference on Computing Education Research, pages 1–12.
Denny, P., Gulwani, S., Heffernan, N. T., Käser, T., Moore, S., Rafferty, A. N., and Singla, A. (2024). Generative ai for education (gaied): Advances, opportunities, and challenges. arXiv preprint arXiv:2402.01580.
Roest, L. (2023). Automated next-step hint generation for introductory programming using large language models. Master’s thesis.
Roest, L., Keuning, H., and Jeuring, J. (2024). Next-step hint generation for introductory programming using large language models. In Proceedings of the 26th Australasian Computing Education Conference, pages 144–153.
Wermelinger, M. (2023). Using github copilot to solve simple programming problems. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1, pages 172–178.
Birillo, A., Artser, E., Potriasaeva, A., Vlasov, I., Dzialets, K., Golubev, Y., Gerasimov, I., Keuning, H., and Bryksin, T. (2024). One step at a time: Combining llms and static analysis to generate next-step hints for programming tasks. In Proceedings of the 24th Koli Calling International Conference on Computing Education Research, pages 1–12.
Denny, P., Gulwani, S., Heffernan, N. T., Käser, T., Moore, S., Rafferty, A. N., and Singla, A. (2024). Generative ai for education (gaied): Advances, opportunities, and challenges. arXiv preprint arXiv:2402.01580.
Roest, L. (2023). Automated next-step hint generation for introductory programming using large language models. Master’s thesis.
Roest, L., Keuning, H., and Jeuring, J. (2024). Next-step hint generation for introductory programming using large language models. In Proceedings of the 26th Australasian Computing Education Conference, pages 144–153.
Wermelinger, M. (2023). Using github copilot to solve simple programming problems. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1, pages 172–178.
Publicado
07/04/2025
Como Citar
ARAUJO, Luis Gustavo; ARAUJO, Ketlly; REIS, Endrik; SILVA, Mirele Oliveira da; PINHEIRO, Andreia.
Geração de Dicas de Próximo Passo utilizando Large Language Models (LLMs). In: LABORATÓRIO DE IDEIAS - SIMPÓSIO BRASILEIRO DE EDUCAÇÃO EM COMPUTAÇÃO (EDUCOMP), 5. , 2025, Juiz de Fora/MG.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 42-43.
ISSN 3086-0741.
DOI: https://doi.org/10.5753/educomp_estendido.2025.6594.
