Generating Next-Step Hints Using Large Language Models (LLMs)
Abstract
This paper does not include an abstract.References
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.
Published
2025-04-07
How to Cite
ARAUJO, Luis Gustavo; ARAUJO, Ketlly; REIS, Endrik; SILVA, Mirele Oliveira da; PINHEIRO, Andreia.
Generating Next-Step Hints Using Large Language Models (LLMs). In: NEW IDEAS LAB - BRAZILIAN SYMPOSIUM ON COMPUTING EDUCATION (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.
