A Comparative Study of Large Language Models in Programming Education: Accuracy, Efficiency, and Feedback in Student Assignment Grading

Programming education traditionally requires extensive manual assessment of student assignments, which is both time-consuming and resource-intensive for instructors. Recent advances in large language models (LLMs) open opportunities for automating this process and providing timely feedback. This pap...

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Veröffentlicht in:	Applied sciences Jg. 15; H. 18; S. 10055
Hauptverfasser:	Bernik, Andrija, Radošević, Danijel, Čep, Andrej
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.09.2025
Schlagworte:	Accuracy AI-assisted grading Artificial intelligence automated feedback Automation Chatbots ChatGPT Computer science Education educational technology Essays Feedback Higher education Large language models Learning Learning management systems Mechanization Peers programming education Students Teachers Teachers, Rating of
ISSN:	2076-3417, 2076-3417
Online-Zugang:	Volltext
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