4 citations · 7 across the 5 of their papers we have counts for
5 papers
Open, Small, Rigmarole -- Evaluating Llama 3.2 3B's Feedback for Programming Exercises
Imen Azaiz, Natalie Kiesler, Sven Strickroth +1
Large Language Models (LLMs) have been subject to extensive research in the past few years. This is particularly true for the potential of LLMs to generate formative programming fe…
The Role of Generative AI in Software Student CollaborAItion
Natalie Kiesler, Jacqueline Smith, Juho Leinonen +3
Collaboration is a crucial part of computing education. The increase in AI capabilities over the last couple of years is bound to profoundly affect all aspects of systems and softw…
Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools
James Prather, Juho Leinonen, Natalie Kiesler +12
Generative AI (GenAI) is advancing rapidly, and the literature in computing education is expanding almost as quickly. Initial responses to GenAI tools were mixed between panic and…
You're (Not) My Type -- Can LLMs Generate Feedback of Specific Types for Introductory Programming Tasks?
Dominic Lohr, Hieke Keuning, Natalie Kiesler
Background: Feedback as one of the most influential factors for learning has been subject to a great body of research. It plays a key role in the development of educational technol…
Exploring the Potential of Large Language Models to Generate Formative Programming Feedback
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 re…