2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.HC2026
Combating Harms of Generative AI in CS1 with Code Review Interviews and a Flipped Classroom
Peter Fowles, Erik Falor, Sulove Bhattarai +2
Background and Context: Large Language Models (LLMs) are more accessible and accurate than ever before, raising significant concerns for computing educators. One major concern is s…
cs.SE2023★ 2 cited
Assessing the Promise and Pitfalls of ChatGPT for Automated Code Generation
Muhammad Fawad Akbar Khan, Max Ramsdell, Erik Falor +1
This paper presents a comprehensive evaluation of the code generation capabilities of ChatGPT, a prominent large language model, compared to human programmers. A novel dataset of 1…