18 citations · 19 across the 3 of their papers we have counts for
4 papers
Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback
Victor-Alexandru Pădurean, Tung Phung, Nachiket Kotalwar +4
The growing need for automated and personalized feedback in programming education has led to recent interest in leveraging generative AI for feedback generation. However, current a…
Prompt Programming: A Platform for Dialogue-based Computational Problem Solving with Generative AI Models
Victor-Alexandru Pădurean, Paul Denny, Alkis Gotovos +1
Computing students increasingly rely on generative AI tools for programming assistance, often without formal instruction or guidance. This highlights a need to teach students how t…
BugSpotter: Automated Generation of Code Debugging Exercises
Victor-Alexandru Pădurean, Paul Denny, Adish Singla
Debugging is an essential skill when learning to program, yet its instruction and emphasis often vary widely across introductory courses. In the era of code-generating large langua…
Automating Autograding: Large Language Models as Test Suite Generators for Introductory Programming
Umar Alkafaween, Ibrahim Albluwi, Paul Denny
Automatically graded programming assignments provide instant feedback to students and significantly reduce manual grading time for instructors. However, creating comprehensive suit…