Registered user since Thu 15 Jun 2023
Yang Shi is a Ph.D. student and Goodnight Doctoral Fellow at North Carolina State University. He has been working towards building data-driven methods for representing program code to enhance the ability of Intelligent Tutoring Systems and benefit student modeling processes for computing education. With a focus on DM/ML approaches applied to CS education, his research interests also include Programming Language Processing, Software Analysis, and Deep Learning. He has been serving as a program committee (PC) member in conferences across multiple disciplines including EDM, LAK, KDD, AAAI, EAAI, SIGCSE, and ITICSE.
- Author of Enhancing Code Tracing Question Generation with Refined Prompts in Large Language Models within the Posters-track
- Author of Detecting ChatGPT-Generated Code Submissions in a CS1 Course Using Machine Learning Models within the Papers-track
- Author of Novices' Perceptions of Web-Search and AI for Programming within the Posters-track