34 citations · 34 across the 2 of their papers we have counts for
3 papers
cs.CY2026
To Police or to Guide: How Higher Education Computer Science Instructors Design and Implement Generative AI Policies
Xingjian Gu, Wells Lucas Santo, James M. Zumel Dumlao +1
While generative AI tools are directly changing how undergraduate computer science is learned and taught, they are also reshaping the relationships between instructors and students…
cs.CY2025
AI Literacy in K-12 and Higher Education in the Wake of Generative AI: An Integrative Review
Xingjian Gu, Barbara J. Ericson
Even though AI literacy has emerged as a prominent education topic in the wake of generative AI, its definition remains vague. There is little consensus among researchers and pract…
cs.HC2024★ 34 cited
Insights from Social Shaping Theory: The Appropriation of Large Language Models in an Undergraduate Programming Course
Aadarsh Padiyath, Xinying Hou, Amy Pang +6
The capability of large language models (LLMs) to generate, debug, and explain code has sparked the interest of researchers and educators in undergraduate programming, with many an…