5 papers
MedEasy: Designing AI Standardized Patients for Clinical Consultation Training
Zhiqi Gao, Huarui Luo, Guo Zhu +6
AI standardized patients are becoming a setting for professional training in clinical consultation. This paper presents MedEasy, a multi-agent system that organizes virtual-patient…
Reading the Same Data Differently: Interpretive Labor Across System Boundaries in Electronic Monitoring
Yibo Meng, Bingyi Liu, Zhiqi Gao +2
Electronic monitoring (EM) systems are increasingly used in community corrections to enforce spatial, temporal, and behavioral rules through continuous sensing. While prior work ha…
FAIR: Framing AIs Role in Programming Competitions -- Understanding How LLMs Are Changing the Game in Competitive Programming
Dongyijie Primo Pan, Lan Luo, Ji Zhu +3
This paper investigates how large language models (LLMs) are reshaping competitive programming. The field functions as an intellectual contest within computer science education and…
Prompting Destiny: Negotiating Socialization and Growth in an LLM-Mediated Speculative Gameworld
Mandi Yang, Zhiqi Gao, Yibo Meng +1
We present an LLM-mediated role-playing game that supports reflection on socialization, moral responsibility, and educational role positioning. Grounded in socialization theory, th…
"It Talks Like a Patient, But Feels Different": Co-Designing AI Standardized Patients with Medical Learners
Zhiqi Gao, Guo Zhu, Huarui Luo +6
Standardized patients (SPs) play a central role in clinical communication training but are costly, difficult to scale, and inconsistent. Large language model (LLM) based AI standar…