54 citations · 90 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…
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…
Feedback-Generation for Programming Exercises With GPT-4
Imen Azaiz, Natalie Kiesler, Sven Strickroth
Ever since Large Language Models (LLMs) and related applications have become broadly available, several studies investigated their potential for assisting educators and supporting…
AI-enhanced Auto-correction of Programming Exercises: How Effective is GPT-3.5?
Imen Azaiz, Oliver Deckarm, Sven Strickroth
Timely formative feedback is considered as one of the most important drivers for effective learning. Delivering timely and individualized feedback is particularly challenging in la…
Developing Open Source Educational Resources for Machine Learning and Data Science
Ludwig Bothmann, Sven Strickroth, Giuseppe Casalicchio +4
Education should not be a privilege but a common good. It should be openly accessible to everyone, with as few barriers as possible; even more so for key technologies such as Machi…