6 citations · 7 across the 3 of their papers we have counts for
3 papers
Bridging Gaps Between Student and Expert Evaluations of AI-Generated Programming Hints
Tung Phung, Mengyan Wu, Heeryung Choi +4
Generative AI has the potential to enhance education by providing personalized feedback to students at scale. Recent work has proposed techniques to improve AI-generated programmin…
Building Your Own Product Copilot: Challenges, Opportunities, and Needs
Chris Parnin, Gustavo Soares, Rahul Pandita +3
A race is underway to embed advanced AI capabilities into products. These product copilots enable users to ask questions in natural language and receive relevant responses that are…
Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation
Tung Phung, Victor-Alexandru Pădurean, Anjali Singh +5
Generative AI and large language models hold great promise in enhancing programming education by automatically generating individualized feedback for students. We investigate the r…