Wookhee Min

Early prediction of student knowledge in game-based learning with distributed representations of assessment questions

BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY, 54(1), 40–57.

Leveraging Game Design Activities for Middle Grades AI Education in Rural Communities

Vandenberg, J., Min, W., Catete, V., Boulden, D., & Mott, B. (2023, April 12).

Multimodal Predictive Student Modeling with Multi-Task Transfer Learning

Emerson, A., Min, W., Rowe, J., Azevedo, R., & Lester, J. (2023, March 13).

Toward AI-infused Game Design Activities for Rural Middle Grades Students

Vandenberg, J., Min, W., Gupta, A., Catete, V., Boulden, D., & Mott, B. (2023, June 29).

Promoting AI Education for Rural Middle Grades Students with Digital Game Design

Vandenberg, J., Min, W., Cateté, V., Boulden, D., & Mott, B. (2022, March).

Detecting Disruptive Talk in Student Chat-Based Discussion within Collaborative Game-Based Learning Environments

LAK21 CONFERENCE PROCEEDINGS: THE ELEVENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE, pp. 405–415.

Enhancing Multimodal Affect Recognition with Multi-Task Affective Dynamics Modeling

2021 9TH INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION (ACII).

Multidimensional Team Communication Modeling for Adaptive Team Training: A Hybrid Deep Learning and Graphical Modeling Framework

ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2021), PT I, Vol. 12748, pp. 293–305.

Multimodal Trajectory Analysis of Visitor Engagement with Interactive Science Museum Exhibits

ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2021), PT II, Vol. 12749, pp. 151–155.

A conceptual assessment framework for k-12 computer science rubric design

Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, 1328.

DeepStealth: Game-Based Learning Stealth Assessment with Deep Neural Networks

IEEE Transactions on Learning Technologies, 13(2), 1–1.

Generating educational game levels with multistep deep convolutional generative adversarial networks

IEEE Conference on Computatonal Intelligence and Games, CIG, 2019-August.

Position: IntelliBlox: A Toolkit for Integrating Block-Based Programming into Game-Based Learning Environments

Proceedings - 2019 IEEE Blocks and Beyond Workshop, B and B 2019, 55–58.

Predicting Dialogue Breakdown in Conversational Pedagogical Agents with Multimodal LSTMs

ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2019, PT II, Vol. 11626, pp. 195–200.

Take the Initiative: Mixed Initiative Dialogue Policies for Pedagogical Agents in Game-Based Learning Environments

ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2019, PT II, Vol. 11626, pp. 314–318.

Toward computational models of team effectiveness with natural language processing

CEUR Workshop Proceedings, 2501, 30–39. http://www.scopus.com/inward/record.url?eid=2-s2.0-85075911853&partnerID=MN8TOARS

Affect-based early prediction of player mental demand and engagement for educational games

Proceedings of the 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2018, 243–249. http://www.scopus.com/inward/record.url?eid=2-s2.0-85070822616&partnerID=MN8TOARS

High-fidelity simulated players for interactive narrative planning

IJCAI International Joint Conference on Artificial Intelligence, 2018-July, 3884–3890. http://www.scopus.com/inward/record.url?eid=2-s2.0-85055720882&partnerID=MN8TOARS

Improving stealth assessment in game-based learning with LSTM-based analytics

Proceedings of the 11th International Conference on Educational Data Mining, EDM 2018. http://www.scopus.com/inward/record.url?eid=2-s2.0-85080493724&partnerID=MN8TOARS

User Affect and No-Match Dialogue Scenarios: An Analysis of Facial Expression

Proceedings of the 4th International Workshop on Multimodal Analyses Enabling Artificial Agents in Human-Machine Interaction - MA3HMI'18, 6–14.

"Thanks Alisha, Keep in Touch": Gender Effects and Engagement with Virtual Learning Companions

ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2017, Vol. 10331, pp. 299–310.

Deep LSTM-based goal recognition models for open-world digital games

AAAI Workshop - Technical Report, WS-17-01 - WS-17-15, 851–858. http://www.scopus.com/inward/record.url?eid=2-s2.0-85046086839&partnerID=MN8TOARS

Inducing Stealth Assessors from Game Interaction Data

ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2017, Vol. 10331, pp. 212–223.

Interactive narrative personalization with deep reinforcement learning

IJCAI International Joint Conference on Artificial Intelligence, 3852–3858. http://www.scopus.com/inward/record.url?eid=2-s2.0-85031928990&partnerID=MN8TOARS

Multimodal goal recognition in open-world digital games

Proceedings of the 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2017, 80–86. http://www.scopus.com/inward/record.url?eid=2-s2.0-85051737443&partnerID=MN8TOARS

Simulating player behavior for data-driven interactive narrative personalization

Proceedings of the 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2017, 255–261. http://www.scopus.com/inward/record.url?eid=2-s2.0-85055706729&partnerID=MN8TOARS

Integrating Real-Time Drawing and Writing Diagnostic Models: An Evidence-Centered Design Framework for Multimodal Science Assessment

In A. Micarelli, J. Stamper, & K. Panourgia (Eds.), Intelligent Tutoring Systems (Vol. 9684, pp. 165–175).

Integrating real-time drawing and writing diagnostic models: An evidence-centered design framework for multimodal science assessment

Intelligent tutoring systems, its 2016, 0684, 165–175.

Player goal recognition in open-world digital games with long short-term memory networks

IJCAI International Joint Conference on Artificial Intelligence, 2016-January, 2590–2596. http://www.scopus.com/inward/record.url?eid=2-s2.0-85006136250&partnerID=MN8TOARS

Predicting dialogue acts for intelligent virtual agents with multimodal student interaction data

Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, 454–459. http://www.scopus.com/inward/record.url?eid=2-s2.0-85072280923&partnerID=MN8TOARS

DeepStealth: Leveraging Deep Learning Models for Stealth Assessment in Game-Based Learning Environments

ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2015, Vol. 9112, pp. 277–286.

Diagrammatic Student Models: Modeling Student Drawing Performance with Deep Learning

In Lecture Notes in Computer Science (Vol. 9146, pp. 216–227).

Deep learning-based goal recognition in open-ended digital games

Proceedings of the 10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014, 37–43. http://www.scopus.com/inward/record.url?eid=2-s2.0-84916877257&partnerID=MN8TOARS

Leveraging semi-supervised learning to predict student problem-solving performance in narrative-centered learning environments

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 664–665).

Personalizing embedded assessment sequences in narrative-centered learning environments: A collaborative filtering approach

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 369–378).

An interactive-content technique based approach to generating personalized advertisement for privacy protection

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 185–191).

PRISM: A framework for authoring interactive narratives

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 297–308).

Planning-integrated story graph for interactive narratives

MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops, 27–32.

Diagrammatic student models: Modeling student drawing performance with deep learning

Smith, A., Min, W., Mott, B. W., & Lester, J. C. User modeling, adaptation and personalization, 9146, 216–227.