October 7, 2024Open Access

A comparison of human, GPT-3.5, and GPT-4 performance in a university-level coding course

WYWill YeadonDurham University APAlex PeachDurham University CTCraig P. TestrowDurham University

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Abstract

This study evaluates the performance of ChatGPT variants, GPT-3.5 and GPT-4, both with and without prompt engineering, against solely student work and a mixed category containing both student and GPT-4 contributions in university-level physics coding assignments using the Python language. Comparing 50 student submissions to 50 AI-generated submissions across different categories, and marked blindly by three independent markers, we amassed

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Cite This Study

Yeadon et al. (Mon,) studied this question.

synapsesocial.com/papers/68e55b65e2b3180350ef9230 https://doi.org/https://doi.org/10.1038/s41598-024-73634-y