no code implementations • 7 Mar 2024 • Imen Azaiz, Natalie Kiesler, Sven Strickroth
LLMs such as Codex, GPT-3. 5, and GPT 4 have shown promising results in the context of large programming courses, where students can benefit from feedback and hints if provided timely and at scale.
no code implementations • 1 Oct 2023 • James Prather, Paul Denny, Juho Leinonen, Brett A. Becker, Ibrahim Albluwi, Michelle Craig, Hieke Keuning, Natalie Kiesler, Tobias Kohn, Andrew Luxton-Reilly, Stephen MacNeil, Andrew Peterson, Raymond Pettit, Brent N. Reeves, Jaromir Savelka
Second, we report the findings of a survey of computing students and instructors from across 20 countries, capturing prevailing attitudes towards LLMs and their use in computing education contexts.
no code implementations • 31 Aug 2023 • Natalie Kiesler, Dominic Lohr, Hieke Keuning
Ever since the emergence of large language models (LLMs) and related applications, such as ChatGPT, its performance and error analysis for programming tasks have been subject to research.
no code implementations • 15 Aug 2023 • Natalie Kiesler, Daniel Schiffner
This paper investigates the performance of the Large Language Models (LLMs) ChatGPT-3. 5 and GPT-4 in solving introductory programming tasks.