Resumo
The rise of Large Language Models (LLMs) has sparked discussion in Computer Science Education (CSE) due to their ability to generate code from text prompts. Students may rely on these tools, neglecting core skills like computational thinking and program design. Thus, it’s crucial to responsibly integrate them into computer science courses. To address this, we integrated an open-source Automatic Assessment Tool with GPT, enabling students to receive LLM assistance on their programming assignments. This tool can be adopted and improved by educators, promoting more responsible integration of LLMs in CSE.
Idioma original | Inglês |
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Título da publicação do anfitrião | Proceedings of 24th International Conference on Computing Education Research, Koli Calling 2024 |
Editora | Association for Computing Machinery |
ISBN (eletrónico) | 9798400710384 |
DOIs | |
Estado da publicação | Publicadas - 13 nov. 2024 |
Evento | 24th International Conference on Computing Education Research, Koli Calling 2024 - Koli Duração: 14 nov. 2024 → 17 nov. 2024 |
Série de publicação
Nome | ACM International Conference Proceeding Series |
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Conferência
Conferência | 24th International Conference on Computing Education Research, Koli Calling 2024 |
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País/Território | Finland |
Cidade | Koli |
Período | 14/11/24 → 17/11/24 |
Nota bibliográfica
Publisher Copyright:© 2024 Copyright held by the owner/author(s).