Search Results for author: Hieke Keuning

Found 3 papers, 0 papers with code

Next-Step Hint Generation for Introductory Programming Using Large Language Models

no code implementations3 Dec 2023 Lianne Roest, Hieke Keuning, Johan Jeuring

Large Language Models possess skills such as answering questions, writing essays or solving programming exercises.

Hint Generation

The Robots are Here: Navigating the Generative AI Revolution in Computing Education

no code implementations1 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.

Ethics

Exploring the Potential of Large Language Models to Generate Formative Programming Feedback

no code implementations31 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.

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