51 citations · 61 across the 11 of their papers we have counts for
12 papers
STEPwise: Supporting Teachers in Diagnosing Students' Mathematical Problem-Solving Skills through LLM-Generated Questions and Rubric
Yoonsu Kim, Hayeon Doh, Eunhye Kim +2
Problem-solving is central to mathematics education. However, diagnosing where students' reasoning breaks down requires individualized probing and consistent criteria that teachers…
Student-ChatGPT Interaction Visible: Designing a Teacher Dashboard for EFL Writing Education
Minsun Kim, Seon Gyeom Kim, Suyoun Lee +11
We present a Prompt Analytics Dashboard (PAD) for teachers that can traces student-LLM interactions from EFL writing classes. PAD can show student prompt-response exchanges with LL…
"When to Hand Off, When to Work Together": Understanding Concurrent Human-Agent Interaction in Shared Co-Creative Workspaces
Kihoon Son, Hyewon Lee, DaEun Choi +6
Shared co-creative workspaces allow users to contribute while agents execute. Yet how users adjust their participation as their work and the agent's execution shape one another rem…
Contexty: Capturing and Organizing In-situ Thoughts for Context-Aware AI Support
Yoonsu Kim, Chanbin Park, Kihoon Son +2
During complex knowledge work, people engage in iterative sensemaking: interpreting information, connecting ideas, and refining their understanding. Yet in current human-AI collabo…
IntentFlow: Investigating Fluid Dynamics of Intent Communication in Generative AI
Yoonsu Kim, Kihoon Son, Seoyoung Kim +2
Generative AI shifts interaction toward intent-based outcome specification, despite user intents being inherently vague, fluid, and evolving. While a growing body of HCI research h…
Benchmarking Large Language Models for Diagnosing Students' Cognitive Skills from Handwritten Math Work
Yoonsu Kim, Hyoungwook Jin, Hayeon Doh +6
Students' handwritten math work provides a rich resource for diagnosing cognitive skills, as it captures intermediate reasoning beyond final answers. We investigate how current lar…
Applying the Gricean Maxims to a Human-LLM Interaction Cycle: Design Insights from a Participatory Approach
Yoonsu Kim, Brandon Chin, Kihoon Son +2
While large language models (LLMs) are increasingly used to assist users in various tasks through natural language interactions, these interactions often fall short due to LLMs' li…
LLM-Driven Learning Analytics Dashboard for Teachers in EFL Writing Education
Minsun Kim, SeonGyeom Kim, Suyoun Lee +11
This paper presents the development of a dashboard designed specifically for teachers in English as a Foreign Language (EFL) writing education. Leveraging LLMs, the dashboard facil…
Beyond Prompts: Learning from Human Communication for Enhanced AI Intent Alignment
Yoonsu Kim, Kihoon Son, Seoyoung Kim +1
AI intent alignment, ensuring that AI produces outcomes as intended by users, is a critical challenge in human-AI interaction. The emergence of generative AI, including LLMs, has i…
Designing Prompt Analytics Dashboards to Analyze Student-ChatGPT Interactions in EFL Writing
Minsun Kim, SeonGyeom Kim, Suyoun Lee +11
While ChatGPT has significantly impacted education by offering personalized resources for students, its integration into educational settings poses unprecedented risks, such as ina…
Understanding Users' Dissatisfaction with ChatGPT Responses: Types, Resolving Tactics, and the Effect of Knowledge Level
Yoonsu Kim, Jueon Lee, Seoyoung Kim +2
Large language models (LLMs) with chat-based capabilities, such as ChatGPT, are widely used in various workflows. However, due to a limited understanding of these large-scale model…
LLM-as-a-tutor in EFL Writing Education: Focusing on Evaluation of Student-LLM Interaction
Jieun Han, Haneul Yoo, Junho Myung +8
In the context of English as a Foreign Language (EFL) writing education, LLM-as-a-tutor can assist students by providing real-time feedback on their essays. However, challenges ari…