Towards the Integration of Large Language Models and Automatic Assessment Tools: Enhancing Student Support in Programming Assignments

Bruno Pereira Cipriano, Miguel Silva, Rodrigo Correia, Pedro Alves

Resultado de pesquisarevisão de pares

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 originalInglês
Título da publicação do anfitriãoProceedings of 24th International Conference on Computing Education Research, Koli Calling 2024
EditoraAssociation for Computing Machinery
ISBN (eletrónico)9798400710384
DOIs
Estado da publicaçãoPublicadas - 13 nov. 2024
Evento24th International Conference on Computing Education Research, Koli Calling 2024 - Koli
Duração: 14 nov. 202417 nov. 2024

Série de publicação

NomeACM International Conference Proceeding Series

Conferência

Conferência24th International Conference on Computing Education Research, Koli Calling 2024
País/TerritórioFinland
CidadeKoli
Período14/11/2417/11/24

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Publisher Copyright:
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