1 citations · 1 across the 4 of their papers we have counts for
5 papers
TutorTrace: A Dataset and Taxonomy for Classifying Learner Behavioral States during AI-Assisted Programming Education
David Barron, Xiaohang Tang, Rezky Dwisantika +4
AI programming tutors provide scalable support, yet lack the behavioral context human tutors rely on to adapt support to learners' needs. We present TutorTrace, a dataset and behav…
REVA: Supporting LLM-Generated Programming Feedback Validation at Scale Through User Attention-based Adaptation
Xiaohang Tang, Sam Wong, Zicheng He +2
This paper introduces REVA, a human-AI system that expedites instructor review of voluminous AI-generated programming feedback by sequencing submissions to minimize cognitive conte…
SPHERE: Scaling Personalized Feedback in Programming Classrooms with Structured Review of LLM Outputs
Xiaohang Tang, Sam Wong, Marcus Huynh +3
Effective personalized feedback is crucial for learning programming. However, providing personalized, real-time feedback in large programming classrooms poses significant challenge…
The Impact of Group Discussion and Formation on Student Performance: An Experience Report in a Large CS1 Course
Tong Wu, Xiaohang Tang, Sam Wong +3
Programming instructors often conduct collaborative learning activities, such as Peer Instruction (PI), to enhance student motivation, engagement, and learning gains. However, the…
VizGroup: An AI-Assisted Event-Driven System for Real-Time Collaborative Programming Learning Analytics
Xiaohang Tang, Sam Wong, Kevin Pu +3
Programming instructors often conduct collaborative learning activities, like Peer Instruction, to foster a deeper understanding in students and enhance their engagement with learn…