Hyoungwook Jin
I am a PhD student at 🇺🇸 the University of Michigan, Computer Science and Engineering. I am working with Xu Wang and researchers at Lifelong Learning Lab.
I envision End-learner Programming in which learners and instructors can customize existing or even create new learning content, paths, and tools beyond given resources and classes for their personal needs. I research human-AI interaction, computer-supported cooperative work, and learning at scale to realize my vision.
NEWS
Aug, 2025
🧳 Started my PhD at UMich Lifelong Learning Lab.
Jun, 2025🚀 I successfully defended my Master's thesis!
Apr, 2025🎉 My citation reached 100!
Apr, 2025🔥 Solved 1500 LeetCode problems!
Mar, 2025🌸 I will visit Yokohama to present TeachTune at CHI.
ONGOING PROJECTS
Helping Teachers Plan, Develop, and Monitor Chatbot-integrated Classes
Teachers' interest in using chatbots in their classes is growing, but they often lack the necessary skills and knowledge to effectively integrate them into their teaching. This project aims to build an End-to-End education platform that supports teachers with lesson planning, chatbot development, and real-time monitoring of chatbot usage in the classroom.
Platform
Investigating Large Language Models in Diagnosing Students' Cognitive Skills in Math Problem-solving
This project investigates whether large language models (LLMs) can diagnose students’ cognitive skills from handwritten math responses. By introducing the MathCog benchmark and evaluating 16 LLMs, we reveal that even advanced models struggle to infer students' thinking process from fragmented visual and textual cues.
PaperCONFERENCE PAPERS
Honorable Mention
POSTERS AND WORKSHOP PAPERS
How Do Teachers Create Pedagogical Chatbots?: Current Practices and Challenges
Minju YooHyoungwook JinJuho Kim
CHI'25 Workshop on Augmented Educators and AI
Paper
Using Large Language Models to Diagnose Math Problem-Solving Skills at Scale
Hyoungwook JinYoonsu KimYeon Su ParkBekzat TilekbayJinho SonJuho Kim
L@S'24 Work-in-Progress
Paper
Moderating Customer Inquiries and Responses to Alleviate Stress and Reduce Emotional Dissonance of Customer Service Representatives
Hyungkwon KoKihoon SonHyoungwook JinYoonseo ChoiXiang Anthony Chen
CHI'23 Generative AI and HCI Workshop
Paper
HOSTED WORKSHOP
