Evaluating the Application of Large Language Models to Generate Feedback in Programming Education
March 13, 2024 ยท Declared Dead ยท ๐ IEEE Global Engineering Education Conference
"No code URL or promise found in abstract"
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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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