The profile image of Hyoungwook Jin.

Hyoungwook Jin

I am an MS candidate in the School of Computing at KAIST. I am working with Juho Kim and researchers at KIXLAB.
I am interested in supporting personalized learning environments at scale. I am looking into leveraging AI agents as tutors and tutees to build interactive learning systems personalized to each learner's prior knowledge level and learning patterns.
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NEWS

Jan, 2024🎉 TeachYou is accepted to CHI2024!Oct, 2023💅 Redesigned the website! Hope you like it.Sep, 2023🎉 Got acceptances for two CSCW papers after a revision cycle!Jan, 2023🔥 Solved 1000 LeetCode problems!Sep, 2022🚀 Submitted my first first-author full paper to CHI successfully.

CURRENT PROJECTS

The teaser image of Personalized Teachable Agents

Personalized Teachable Agents

Teachable agents are pedagogical AI agents that simulate a student role to help learners find gaps in their knowledge by teaching the agents. This project explores how the knowledge level of teachable agents affects the learning experience and aims to develop a technical pipeline for controlling and personalizing the knowledge level of teachable agents to individual learners.
The teaser image of Helping Students Abstract Subgoals from Code Examples

Helping Students Abstract Subgoals from Code Examples

This project builds a system that supports programming novices to abstract generalizable subgoals from code examples. We elicit abstract thinking by asking learners to write down subgoals common to interrelated code examples. We use code-generation AI models to create feedback on the generalizability and abstraction level of learners' subgoals by testing if the models can generate code examples from learners' descriptions.

CONFERENCE PAPERS

The teaser image of Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Education

Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Education

Hyoungwook JinSeonghee LeeHyungyu ShinJuho Kim
CHI'24 (to appear)
The link for the Paper of Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming EducationPaperThe link for the Website of Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming EducationWebsiteThe link for the Demo of Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming EducationDemoThe link for the Slides of Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming EducationSlidesThe link for the GitHub of Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming EducationGitHub
The teaser image of ProcessGallery: An Online Gallery that Highlights Improvements by Principles through Contrasting Pairs of Examples

ProcessGallery: An Online Gallery that Highlights Improvements by Principles through Contrasting Pairs of Examples

Grace Yu-Chun YenJane L EHyoungwook JinMingyi LiGrace LinIsabelle Yan PanSteven P. Dow
CSCW'24 (to appear)
The teaser image of CodeTree: Learnersourcing Subgoal Hierarchies in Code Examples

CodeTree: Learnersourcing Subgoal Hierarchies in Code Examples

Hyoungwook JinJuho Kim
CSCW'24 (to appear)
The link for the Paper of CodeTree: Learnersourcing Subgoal Hierarchies in Code ExamplesPaper

POSTERS AND WORKSHOP PAPERS

The teaser image of Moderating Customer Inquiries and Responses to Alleviate Stress and Reduce Emotional Dissonance of Customer Service Representatives

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 Workshop
The link for the Paper of Moderating Customer Inquiries and Responses to Alleviate Stress and Reduce Emotional Dissonance of Customer Service RepresentativesPaper
The teaser image of Learnersourcing Subgoal Hierarchies of Code Examples

Learnersourcing Subgoal Hierarchies of Code Examples

Hyoungwook JinJuho Kim
L@S'22 Workshop on Learnersourcing: Student-generated Content @ Scale Workshop
The link for the Paper of Learnersourcing Subgoal Hierarchies of Code ExamplesPaper
The teaser image of automaTA: Human-Machine Interaction for Answering Context-Specific Questions

automaTA: Human-Machine Interaction for Answering Context-Specific Questions

Changyoon LeeDonghoon LeeHyoungwook JinAlice Oh
L@S'19 Poster
The link for the Paper of automaTA: Human-Machine Interaction for Answering Context-Specific QuestionsPaper
The teaser image of SolveDeep: Support Subgoal Learning in Online Math Problem Solving

SolveDeep: Support Subgoal Learning in Online Math Problem Solving

Hyoungwook JinMinsuk ChangJuho Kim
CHI'19 Poster
The link for the Paper of SolveDeep: Support Subgoal Learning in Online Math Problem SolvingPaper

EDUCATION

Korea Advanced Institute of Science and Technology (KAIST)

MSc in Computer Science (Specialization: Human-Computer Interaction)
Advisor: Juho Kim
Apr 2023 - Present
🇰🇷 Daejeon, South Korea

Korea Advanced Institute of Science and Technology (KAIST)

BS in Computer Science
GPA: 4.0/4.3 (Summa Cum Laude)
Sep 2015 - Mar 2023
🇰🇷 Daejeon, South Korea

Yew Chung International School of Beijing (YCIS Bejing)

IB Diploma
Valedictorian
Dec 2011 - Jun 2015
🇨🇳 Beijing, China