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

March 13, 2024 ยท Declared Dead ยท ๐Ÿ› IEEE Global Engineering Education Conference

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Authors Sven Jacobs, Steffen Jaschke arXiv ID 2403.09744 Category cs.CL: Computation & Language Cross-listed cs.AI, cs.CY, cs.HC Citations 28 Venue IEEE Global Engineering Education Conference Last Checked 4 months ago
Abstract
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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