19 citations · 21 across the 3 of their papers we have counts for
3 papers
cs.CY2026
The Future of Feedback: How Can AI Help Transform Feedback to Be More Engaging, Effective, and Scalable?
Jennifer Meyer, Olaf Köller, Thorben Jansen +33
With digital learning environments becoming more prevalent, the ease with which generative AI enables the scalable production of real-time, automated feedback holds the potential t…
cs.PL2024★ 2 cited
Comparison of Three Programming Error Measures for Explaining Variability in CS1 Grades
Valdemar Švábenský, Maciej Pankiewicz, Jiayi Zhang +3
Programming courses can be challenging for first year university students, especially for those without prior coding experience. Students initially struggle with code syntax, but a…
cs.SE2024★ 19 cited
Navigating Compiler Errors with AI Assistance -- A Study of GPT Hints in an Introductory Programming Course
Maciej Pankiewicz, Ryan S. Baker
We examined the efficacy of AI-assisted learning in an introductory programming course at the university level by using a GPT-4 model to generate personalized hints for compiler er…