Yeo Jin Kim

13 papers A* 2A 2Journal 3Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
A Dialogue-Based Learning Analytics Framework for Collaborative Game-Based Learning.
AAAI
Yeo Jin Kim, Daeun Hong, Tianshu Wang, Wookhee Min, Snigdha Chaturvedi, Cindy E. Hmelo-Silver, James C. Lester
2026 A conf
Collaborative Dialogue Analysis for Productive Problem Solving.
LAK
Yeo Jin Kim, Daeun Hong, Xiaotian Zou, Cindy E. Hmelo-Silver, Wookhee Min, Snigdha Chaturvedi, James C. Lester
2026 A conf
The Role of LLM-Powered Conversational Agents in Supporting Inquiry in a Narrative-Centered Learning Environment: A Learning Analytics Study.
LAK
Namrata Srivastava, Megan Humburg, Sarah K. Burriss, Shruti Jain, Clayton Cohn, Yeo Jin Kim, Umesh Timalsina, Joshua A. Danish, Cindy E. Hmelo-Silver, Krista D. Glazewski, James C. Lester, Gautam Biswas
2025 — conf
Collaborative Problem-Solving Dialogue Analysis with Interpretable Temporal Clustering.
AIED (3)
Yeo Jin Kim, Daeun Hong, Wookhee Min, Snigdha Chaturvedi, Cindy E. Hmelo-Silver, James C. Lester
2025 J jnl
LLM-Based Student Plan Generation for Adaptive Scaffolding in Game-Based Learning Environments.
Int. J. Artif. Intell. Educ.
Alex Goslen, Yeo Jin Kim, Jonathan P. Rowe, James C. Lester
2024 — conf
Dual Process Masking for Dialogue Act Recognition.
EMNLP (Findings)
Yeo Jin Kim, Halim Acosta, Wookhee Min, Jonathan P. Rowe, Bradford W. Mott, Snigdha Chaturvedi, James C. Lester
2024 A* conf
Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments.
AAAI
Fahmid Morshed Fahid, Jonathan P. Rowe, Yeo Jin Kim, Shashank Srivastava, James C. Lester
2023 — conf
Language Model-Based Player Goal Recognition in Open World Digital Games.
AIIDE
Yeo Jin Kim, Alex Goslen, Jonathan P. Rowe, Bradford W. Mott, James C. Lester
2023 — conf
Language Modeling for Plan Generation in Game-Base Learning Environments.
LLM@AIED
Alex Goslen, Yeo Jin Kim, Jonathan P. Rowe, James C. Lester
2023 J jnl
Time-aware deep reinforcement learning with multi-temporal abstraction.
Appl. Intell.
Yeo Jin Kim, Min Chi
2021 — conf
Multi-Temporal Abstraction with Time-Aware Deep Q-Learning for Septic Shock Prevention.
IEEE BigData
Yeo Jin Kim, Markel Sanz Ausin, Min Chi
2021 — conf
To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning.
IEEE BigData
Song Ju, Yeo Jin Kim, Markel Sanz Ausin, Maria E. Mayorga, Min Chi
2020 J jnl
Automatic, Qualitative Scoring of the Interlocking Pentagon Drawing Test (PDT) Based on U-Net and Mobile Sensor Data.
Sensors
In Gyu Park, Yun Joong Kim, Yeo Jin Kim, Unjoo Lee