369 citations · 426 across the 5 of their papers we have counts for
5 papers
A Vision for the Future of an AI-Integrated Research Ecosystem
Ryan E. Dougherty, Natalie Kiesler
Generative AI has infiltrated every stage of the research lifecycle: how scholarship is conducted, written, published, and reviewed. Recent policy responses, such as ACM's authorsh…
Unlimited Practice Opportunities: Automated Generation of Comprehensive, Personalized Programming Tasks
Sven Jacobs, Henning Peters, Steffen Jaschke +1
Generative artificial intelligence (GenAI) offers new possibilities for generating personalized programming exercises, addressing the need for individual practice. However, the tas…
Student Perspectives on Using a Large Language Model (LLM) for an Assignment on Professional Ethics
Virginia Grande, Natalie Kiesler, Maria Andreina Francisco R
The advent of Large Language Models (LLMs) started a serious discussion among educators on how LLMs would affect, e.g., curricula, assessments, and students' competencies. Generati…
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…
The Robots are Here: Navigating the Generative AI Revolution in Computing Education
James Prather, Paul Denny, Juho Leinonen +12
Recent advancements in artificial intelligence (AI) are fundamentally reshaping computing, with large language models (LLMs) now effectively being able to generate and interpret so…