I am a Senior Research Scientist in the IntelliMedia Group within the Department of Computer Science at North Carolina State University, Managing Director of the NSF AI Institute for Engaged Learning, and a member of the Center for Educational Informatics. I received a B.S. in Computer Science from Yonsei University in Seoul, South Korea, and worked for Samsung Electronics in South Korea for over four years as R&D staff. I received an M.S. and Ph.D. in Computer Science under the direction of Dr. James Lester at North Carolina State University.

My research interests lie in artificial intelligence, focusing on designing, developing, and evaluating AI-driven adaptive learning technologies. This includes an emphasis on natural language processing, multimodal learning analytics, user modeling, educational data mining, procedural content generation, and game-based learning environments. I have explored the computational modeling of rich streams of students’ multimodal interaction data (e.g., natural language, facial expressions, posture, gaze, interaction trace logs) to create adaptive learning environments. I have also examined large language model-based natural language processing approaches for student self-explanation assessment, team communication analysis, and automated scenario generation to provide both personalized learning and training experiences. Additionally, I have conducted research on AI education through game-based learning activities for middle school students, fostering their knowledge of AI concepts and interest in AI careers.

Education
Ph.D., Computer Science (2016)
North Carolina State University, Raleigh, NC

M.S., Computer Science (2014)
North Carolina State University, Raleigh, NC

B.S., Computer Science (2006)
Yonsei University, Seoul, South Korea

Sponsored Research Activity

• National Science Foundation (Improving Undergraduate STEM Education Program)
  Project: ExplainIt: Improving Student Learning with Explanation-based Classroom Response Systems, 2021–2025.
  Role: Co-Principal Investigator.
• National Science Foundation (Innovative Technology Experiences for Students and Teachers Program)
  Project: Engaging Rural Students in Artificial Intelligence to Develop Pathways for Innovative Computing Careers, 2022–2025.
  Role: Co-Principal Investigator.
• Army Combat Capabilities Development Command – Soldier Center
  Project: CompGen: Competency-based Generation of Synthetic Training Scenarios for the Schoolhouse, 2023–2026.
  Role: Co-Principal Investigator.

Honor and Awards

• Best Student Paper Award, Thirteenth International Conference on Educational Data Mining, 2020.
• Second place, Text Normalization Shared Task Competition, ACL Workshop on Noisy User-Generated Text, 2015.
• Cum Laude, Yonsei University, 2006.
• Army Commendation Medal (ARCOM), Headquarters and Headquarters Company, Eighth Army, United States Army, 2004.

Journal Articles and Book Chapter

• Anisha Gupta, Dan Carpenter, Wookhee Min, Jonathan Rowe, Roger Azevedo, and James Lester. Detecting and mitigating encoded bias in deep learning-based stealth assessment models for reflection-enriched game-based learning environments. International Journal of Artificial Intelligence in Education, 1-28, 2023.
• Andrew Emerson, Wookhee Min, Roger Azevedo, and James Lester. Early Prediction of Student Knowledge in Game-Based Learning with Distributed Representations of Assessment Questions. British Journal of Educational Technology, 54(1), 40-57, 2023.
• James Lester, Wookhee Min, Jonathan Rowe, Andy Smith, and Randall Spain. The Future of AI-Driven Team Training. In Design Recommendations for Intelligent Tutoring Systems: Volume 11 – Professional Career Education, Sinatra, A., Graesser, A., Hu, X., Townsend, L., & Rus, V. (eds.), pp. 21-28, U.S. Army Combat Capabilities Development Command – Soldier Center, Orlando, Florida, 2023.
• Wookhee Min, Megan Frankosky, Bradford Mott, Jonathan Rowe, Andy Smith, Eric Wiebe, Kristy Elizabeth Boyer, and James Lester. DeepStealth: Game-Based Learning Stealth Assessment with Deep Neural Networks. IEEE Transactions on Learning Technologies, 13(2), 312-325, 2020.

Conference and Selected Workshop Proceedings

• Hansol Lim, Wookhee Min, Jessica Vandenberg, Veronica Cateté, and Bradford Mott. Unplugged K-12 AI Learning: Exploring Representation and Reasoning with a Facial Recognition Game. Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 38(21), pp. 23285-23293, Vancouver, Canada, 2024.
• Dan Carpenter, Wookhee Min, Seung Lee, Gamze Ozogul, Xiaoying Zheng, and James Lester. Assessing Student Explanations with Large Language Models Using Fine-Tuning and Few-Shot Learning. Proceedings of the Nineteenth Workshop on Innovative Use of NLP for Building Educational Applications, pp. 403-413, 2024.
• Stephen Paul, Randall Spain, Wookhee Min, Jay Pande, and James Lester. Evaluating the Classification Performance of Natural Language Processing-Driven Team Communication Analysis Models. Proceedings of the Sixty-Seventh Human Factors and Ergonomics Society Annual Meeting, pp. 2181-2186, Washington, DC, 2023.
• Jay Pande, Wookhee Min, Randall Spain, Jason Saville, and James Lester. Robust Team Communication Analytics with Transformer-Based Dialogue Modeling. Proceedings of the Twenty-Fourth International Conference on Artificial Intelligence in Education, pp. 639-650, Tokyo, Japan, 2023.
• Anisha Gupta, Dan Carpenter, Wookhee Min, Bradford Mott, Krista Glazewski, Cindy Hmelo-Silver, and James Lester. Enhancing Stealth Assessment in Collaborative Game-based Learning with Multi-task Learning. Proceedings of the Twenty-Fourth International Conference on Artificial Intelligence in Education (AIED 2023), pp. 304-315, Tokyo, Japan, 2023.
• Jessica Vandenberg, Wookhee Min, Veronica Cateté, Danielle Boulden, and Bradford Mott. Leveraging Game Design Activities for Middle Grades AI Education in Rural Communities. Proceedings of the Eighteenth International Conference on the Foundations of Digital Games, pp. 1-4, Lisbon, Portugal, 2023.
• Andrew Emerson, Wookhee Min, Jonathan Rowe, Roger Azevedo, and James Lester. Multimodal Predictive Student Modeling with Multi-Task Transfer Learning. Proceedings of the Thirteenth International Learning Analytics and Knowledge Conference, pp. 333-344, Arlington, Texas, 2023.
• Anisha Gupta, Dan Carpenter, Wookhee Min, Jonathan Rowe, Roger Azevedo, and James Lester. Enhancing Multimodal Goal Recognition in Open-World Games with Natural Language Player Reflections. Proceedings of the Eighteenth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 37-44, Pomona, California, 2022.
• Kyungjin Park, Hyunwoo Sohn, Wookhee Min, Bradford Mott, Krista Glazewski, Cindy Hmelo-Silver, and James Lester. Disruptive Talk Detection in Multi-Party Dialogue within Collaborative Learning Environments with a Regularized User-Aware Network. Proceedings of the Twenty-Third Annual Meeting of the Special Interest Group on Discourse and Dialogue, pp. 490-499, Edinburgh, UK, 2022.
• Nathan Henderson, Halim Acosta, Wookhee Min, Bradford Mott, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric Wiebe, and James Lester. Enhancing Stealth Assessment in Game-Based Learning Environments with Generative Zero-Shot Learning. Proceedings of the Fifteenth International Conference on Educational Data Mining, pp. 171-182, Durham, UK, 2022.
• Nathan Henderson, Wookhee Min, Jonathan Rowe, and James Lester. Enhancing Multimodal Affect Recognition with Multi-Task Affective Dynamics Modeling. Proceedings of the Ninth International Conference on Affective Computing and Intelligent Interaction, pp. 1-8, Virtual, 2021.
• Nathan Henderson, Wookhee Min, Andrew Emerson, Jonathan Rowe, Seung Lee, James Minogue, and James Lester. Early Prediction of Museum Visitor Engagement with Multimodal Adversarial Domain Adaptation. Proceedings of the Fourteenth International Conference on Educational Data Mining, pp. 93-104, Paris, France, 2021. (Nominated for Best Paper Award)
• Andrew Emerson, Nathan Henderson, Wookhee Min, Jonathan Rowe, James Minogue, and James Lester. Multimodal Trajectory Analysis of Visitor Engagement with Interactive Science Museum Exhibits. Proceedings of the Twenty-Second International Conference on Artificial Intelligence in Education, pp. 151-155, Virtual, 2021.
• Wookhee Min, Randall Spain, Jason Saville, Bradford Mott, Keith Brawner, Joan Johnston, and James Lester. Multidimensional Team Communication Modeling for Adaptive Team Training: A Hybrid Deep Learning and Graphical Modeling Framework. Proceedings of the Twenty-Second International Conference on Artificial Intelligence in Education, pp. 293-305, Virtual, 2021.
• Kyungjin Park, Hyunwoo Sohn, Bradford Mott, Wookhee Min, Asmalina Saleh, Krista Glazewski, Cindy Hmelo-Silver, and James Lester. Detecting Disruptive Talk in Student Chat-Based Discussion within Collaborative Game-Based Learning Environments. Proceedings of the Eleventh International Learning Analytics and Knowledge Conference, pp. 405-415, Virtual, 2021.
• Andrew Emerson, Nathan Henderson, Jonathan Rowe, Wookhee Min, Seung Lee, James Minogue, and James Lester. Early Prediction of Visitor Engagement in Science Museums with Multimodal Learning Analytics. Proceedings of the Twenty-Second ACM International Conference on Multimodal Interaction, pp. 107-116, Utrecht, Netherlands, 2020.
• Nathan Henderson, Wookhee Min, Jonathan Rowe, and James Lester. Enhancing Affect Detection in Game-Based Learning Environments with Multimodal Conditional Generative Modeling. Proceedings of the Twenty-Second ACM International Conference on Multimodal Interaction, pp. 134-143, Utrecht, Netherlands, 2020.
• Wookhee Min, Bradford Mott, Kyungjin Park, Sandra Taylor, Bita Akram, Eric Wiebe, Kristy Elizabeth Boyer, and James Lester. Promoting Computer Science Learning with Block-Based Programming and Narrative-Centered Gameplay. Proceedings of the IEEE Conference on Games, pp. 654-657, Osaka, Japan, 2020.
• Nathan Henderson, Wookhee Min, Jonathan Rowe, and James Lester. Multimodal Player Affect Modeling with Auxiliary Classifier Generative Adversarial Networks. Proceedings of the Sixteenth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 224-230, Worchester, Massachusetts, 2020.
• Nathan Henderson, Vikram Kumaran, Wookhee Min, Bradford Mott, Ziwei Wu, Danielle Boulden, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric Wiebe, and James Lester. Enhancing Student Competency Models for Game-Based Learning with a Hybrid Stealth Assessment Framework. Proceedings of the Thirteenth International Conference on Educational Data Mining, pp. 92-103, Ifrane, Morocco, 2020. (Best Student Paper Award)
• Andrew Emerson, Nathan Henderson, Jonathan Rowe, Wookhee Min, Seung Lee, James Minogue, and James Lester. Investigating Visitor Engagement in Interactive Science Museum Exhibits with Multimodal Bayesian Hierarchical Models. Proceedings of the Twenty-First International Conference on Artificial Intelligence in Education, pp. 165-176, Ifrane, Morocco, 2020.
• Kyungjin Park, Bradford Mott, Wookhee Min, Eric Wiebe, Kristy Elizabeth Boyer, and James Lester. Generating Game Levels to Develop Computer Science Competencies in Game-Based Learning Environments. Proceedings of the Twenty-First International Conference on Artificial Intelligence in Education, pp. 240-245, Ifrane, Morocco, 2020.
• Kyungjin Park, Bradford Mott, Wookhee Min, Kristy Elizabeth Boyer, Eric Wiebe, and James Lester. Generating Educational Game Levels with Multistep Deep Convolutional Generative Adversarial Networks. Proceedings of the IEEE Conference on Games, pp. 345-352, London, United Kingdom, 2019. (Nominated for Best Paper Award)
• Andrew Emerson, Andy Smith, Cody Smith, Fernando Rodríguez, Wookhee Min, Eric Wiebe, Bradford Mott, Kristy Elizabeth Boyer, and James Lester. Predicting Early and Often: Predictive Student Modeling for Block-Based Programming Environments. Proceedings of the Twelfth International Conference on Educational Data Mining, pp. 39-48, Montreal, Canada, 2019.
• Wookhee Min, Kyungjin Park, Joseph Wiggins, Bradford Mott, Eric Wiebe, Kristy Elizabeth Boyer, and James Lester. Predicting Dialogue Breakdown in Conversational Pedagogical Agents with Multimodal LSTMs. Proceedings of the Twentieth International Conference on Artificial Intelligence in Education, pp. 195-200, Chicago, Illinois, 2019.
• Joseph Wiggins, Mayank Kulkarni, Wookhee Min, Kristy Elizabeth Boyer, Bradford Mott, Eric Wiebe, and James Lester. Take the Initiative: Mixed Initiative Dialogue Policies for Pedagogical Agents in Game-Based Learning Environments. Proceedings of the Twentieth International Conference on Artificial Intelligence in Education, pp. 314-318, Chicago, Illinois, 2019.
• Joseph Wiggins, Mayank Kulkarni, Wookhee Min, Bradford Mott, Kristy Elizabeth Boyer, Eric Wiebe, and James Lester. Affect-based Early Prediction of Player Mental Demand and Engagement for Educational Games. Proceedings of the Fourteenth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 243-249, Edmonton, Canada, 2018.
• Pengcheng Wang, Jonathan Rowe, Wookhee Min, Bradford Mott, and James Lester. High-Fidelity Simulated Players for Interactive Narrative Planning. Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, pp. 3884-3890, Stockholm, Sweden, 2018.
• Bita Akram, Wookhee Min, Eric Wiebe, Bradford Mott, Kristy Elizabeth Boyer, and James Lester. Improving Stealth Assessment in Game-based Learning with LSTM-based Analytics. Proceedings of the Eleventh International Conference on Educational Data Mining, pp. 208-218, Buffalo, New York.
• Wookhee Min, Bradford Mott, Jonathan Rowe, Robert Taylor, Eric Wiebe, Kristy Boyer, and James Lester. Multimodal Goal Recognition in Open-World Digital Games. Proceedings of the Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 80-86, Snowbird, Utah, 2017.
• Pengcheng Wang, Jonathan Rowe, Wookhee Min, Bradford Mott, and James Lester. Simulating Player Behavior for Data-Driven Interactive Narrative Personalization. Proceedings of the Thirteenth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 255-261, Snowbird, Utah, 2017.
• Pengcheng Wang, Jonathan Rowe, Wookhee Min, Bradford Mott, and James Lester. Interactive Narrative Personalization with Deep Reinforcement Learning. Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, pp. 3852-3858, Melbourne, Australia, 2017.
• Wookhee Min, Megan Frankosky, Bradford Mott, Eric Wiebe, Kristy Boyer, and James Lester. Inducing Stealth Assessors from Game Interaction Data. Proceedings of the Eighteenth International Conference on Artificial Intelligence in Education, pp. 212-223, Wuhan, China, 2017.
• Lydia Pezzullo, Joseph Wiggins, Megan Frankosky, Wookhee Min, Kristy Boyer, Bradford Mott, Eric Wiebe, and James Lester. “Thanks Alisha, Keep in Touch”: Gender Effects and Engagement with Virtual Learning Companions. Proceedings of the Eighteenth International Conference on Artificial Intelligence in Education, pp. 299-310, Wuhan, China, 2017.
• Wookhee Min, Alok Baikadi, Bradford Mott, Jonathan Rowe, Barry Liu, Eun Young Ha, and James Lester. A Generalized Multidimensional Evaluation Framework for Player Goal Recognition. Proceedings of the Twelfth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 197-203, Burlingame, California, 2016.
• Wookhee Min, Bradford Mott, Jonathan Rowe, Barry Liu, and James Lester. Player Goal Recognition in Open-World Digital Games with Long Short-Term Memory Networks. Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, pp. 2590-2596, New York, New York, 2016.
• Wookhee Min, Joseph Wiggins, Lydia Pezzullo, Alexandria Vail, Kristy Elizabeth Boyer, Bradford Mott, Megan Frankosky, Eric Wiebe, and James Lester. Predicting Dialogue Acts for Intelligent Virtual Agents with Multimodal Student Interaction Data. Proceedings of the Ninth International Conference on Educational Data Mining, pp. 454-459, Raleigh, North Carolina, 2016.
• Andy Smith, Osman Aksit, Wookhee Min, Eric Wiebe, Bradford W. Mott, and James C. Lester. Integrating Real-Time Drawing and Writing Diagnostic Models: An Evidence-Centered Design Framework for Multimodal Science Assessment. Proceedings of the Thirteenth International Conference on Intelligent Tutoring Systems, pp. 382-387, Zagreb, Croatia, 2016. (Nominated for Best Paper Award)
• Andy Smith, Wookhee Min, Bradford Mott, and James Lester. Diagrammatic Student Models: Modeling Student Drawing Performance with Deep Learning. Proceedings of the Twenty-Third Conference on User Modeling, Adaptation, and Personalization, Dublin, Ireland, pp. 216-227, 2015.
• Wookhee Min, Megan Frankosky, Bradford Mott, Jonathan Rowe, Eric Wiebe, Kristy Elizabeth Boyer, and James Lester. DeepStealth: Leveraging Deep Learning Models for Stealth Assessment in Game-based Learning Environments. Proceedings of the Seventeenth International Conference on Artificial Intelligence in Education, Madrid, Spain, pp. 277-286, 2015. (Nominated for Best Paper Award)
• Wookhee Min, Eun Young Ha, Jonathan Rowe, Bradford Mott, and James Lester. Deep Learning-Based Goal Recognition in Open-Ended Digital Games. Proceedings of the Tenth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, Raleigh, North Carolina, pp. 37-43, 2014.
• Wookhee Min, Bradford Mott, Jonathan Rowe, and James Lester. Leveraging Semi-Supervised Learning to Predict Student Problem-Solving Performance in Narrative-Centered Learning Environments. Proceedings of the Twelfth International Conference on Intelligent Tutoring Systems, Honolulu, Hawaii, pp. 664-665, 2014.
• Wookhee Min, Jonathan Rowe, Bradford Mott, and James Lester. Personalizing Embedded Assessment Sequences in Narrative-Centered Learning Environments: A Collaborative Filtering Approach. Proceedings of the Sixteenth International Conference on Artificial Intelligence in Education, Memphis, Tennessee, pp. 369-378, 2013.
• Wookhee Min and Yungyung Cheong. An Interactive-Content Technique Based Approach to Generating Personalized Advertisement for Privacy Protection. Proceedings of the Thirteenth International Conference on Human-Computer Interaction, San Diego, California, pp. 185-191, 2009.
• Yungyung Cheong, Yeojin Kim, Wookhee Min, Eoksoo Shim, and Jinyoung Kim, PRISM: A Framework for Authoring Interactive Narratives. Proceedings of the First Joint International Conference on Interactive Digital Storytelling, Erfurt, Germany, pp. 297-308, 2008.

Patents

• Animation System and Methods for Generating Animation Based on Text-based Data and User Information. Wookhee Min, Bogyeong Kang. US 9665563B2. May 30, 2017.
• Normalizing Electronic Communications Using a Neural-Network Normalizer and a Neural-Network Flagger. Samuel Leeman-Munk, Wookhee Min, Bradford Mott, James Lester, James Cox. US 9552547B2. Jan 24, 2017.
• Web Server for Supporting Collaborative Animation Production Service and Method Thereof. Wookhee Min, Yeojin Kim, Eoksoo Shim, Jinyoung Kim. US 9454284B2. Sep 27, 2016.
• Storage Medium, Apparatus, and Method to Author and Play Interactive Content. Yeojin Kim, Yungyung Cheong, Eoksoo Shim, Wookhee Min. US 9268774B2. Feb 23, 2016.
• Trusted Multi-Stakeholder Environment. Xinwen Zhang, Jean-Pierre Seifert, Wookhee Min, Onur Aciicmez. US 8752130B2. Jun 10, 2014.