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arxiv: 2403.09744 · v1 · pith:72H6AN6Ynew · submitted 2024-03-13 · 💻 cs.CL · cs.AI· cs.CY· cs.HC

Evaluating the Application of Large Language Models to Generate Feedback in Programming Education

classification 💻 cs.CL cs.AIcs.CYcs.HC
keywords applicationprogrammingfeedbackgpt-4educationlanguagelargemodels
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This study investigates the application of large language models, specifically GPT-4, to enhance programming education. The research outlines the design of a web application that uses GPT-4 to provide feedback on programming tasks, without giving away the solution. A web application for working on programming tasks was developed for the study and evaluated with 51 students over the course of one semester. The results show that most of the feedback generated by GPT-4 effectively addressed code errors. However, challenges with incorrect suggestions and hallucinated issues indicate the need for further improvements.

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  1. An Explainable AI Assistant for Introductory Programming Education: Improving Feedback Reliability with Instructor-AI Collaboration

    cs.CY 2026-05 unverdicted novelty 4.0

    An explainable AI system maps student programming errors to instructor-defined misconceptions and delivers instructor-authored feedback, shown through expert review and classroom use to be accurate and well-received.