Online Archive of University of Virginia Scholarship
Bettr: Social accountability through gamification; Learning with Generative AI: How It’s Reshaping Undergraduate Computer Science Education4 views
Author
Tran, Tony, School of Engineering and Applied Science, University of Virginia
Advisors
Heo, Seongkook, EN-Comp Science Dept, University of Virginia
Abstract
In 2022, as generative AI proliferated at universities, established institutional norms, standards, and mechanisms were not equipped to respond. LLMs were either shunned or welcomed as means of subverting the established instructional order. Since then, however, AI use by students and instructors has trended toward conditional acceptance. Administrations, instructors and students have developed diverse new norms defining responsible and irresponsible AI use. In so doing, they have repeated patterns whereby other technological innovations, initially perceived as dangerous threats, were eventually integrated as useful tools.
Degree
BS (Bachelor of Science)
Keywords
artificial intelligence; ai coding; ai programming; learning with ai; teaching with ai; teaching ai; learning ai; social accountability; goals gamification
Notes
School of Engineering and Applied Science
Bachelor of Science in Computer Science
Technical Advisor: Mark Sherriff
STS Advisor: Peter Norton
Technical Team Members: Tony Tran, Jinwoo Kim, Autin Mitra
Language
English
Rights
All rights reserved by the author (no additional license for public reuse)
Tran, Tony. Bettr: Social accountability through gamification; Learning with Generative AI: How It’s Reshaping Undergraduate Computer Science Education. University of Virginia, School of Engineering and Applied Science, BS (Bachelor of Science), 2025-12-14, https://doi.org/10.18130/pms4-4188.
