2024 conference paper
Engaging Students from Rural Communities in AI Education with Game-Based Learning
Goslen, A., Gupta, A., Muthukrishnan, S., Midgett, R., Min, W., Vandenberg, J., … Mott, B. (2024, March 14).
2024 conference paper
Supporting Student Engagement in K-12 AI Education with a Card Game Construction Toolkit
Lim, H., Min, W., Vandenberg, J., Cateté, V., Uchidiuno, J., & Mott, B. (2024, March 14).
2023 article
Leveraging Game Design Activities for Middle Grades AI Education in Rural Communities
PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON THE FOUNDATIONS OF DIGITAL GAMES, FDG 2023.
2023 conference paper
Multimodal Predictive Student Modeling with Multi-Task Transfer Learning
Emerson, A., Min, W., Rowe, J., Azevedo, R., & Lester, J. (2023, March 13).
2023 article
Toward AI-infused Game Design Activities for Rural Middle Grades Students
PROCEEDINGS OF THE 2023 CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, ITICSE 2023, VOL. 2, pp. 644–644.
2022 journal article
Early prediction of student knowledge in game-based learning with distributed representations of assessment questions
BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY, 54(1), 40–57.
2022 article
Promoting AI Education for Rural Middle Grades Students with Digital Game Design
PROCEEDINGS OF THE 54TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, VOL 2, SIGCSE 2023, pp. 1388–1388.
2021 article
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.
2021 article
Enhancing Multimodal Affect Recognition with Multi-Task Affective Dynamics Modeling
2021 9TH INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION (ACII).
2021 article
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.
2021 article
Multimodal Trajectory Analysis of Visitor Engagement with Interactive Science Museum Exhibits
ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2021), PT II, Vol. 12749, pp. 151–155.
2020 conference paper
A conceptual assessment framework for k-12 computer science rubric design
Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, 1328.
Contributors: B. Akram n, n , E. Wiebe n, A. Navied n, B. Mott n, K. Boyer *, J. Lester n
2019 journal article
DeepStealth: Game-Based Learning Stealth Assessment with Deep Neural Networks
IEEE Transactions on Learning Technologies, 13(2), 1–1.
Contributors: , M. Frankosky, B. Mott n, J. Rowe n, P. Smith n, E. Wiebe n , K. Boyer *, J. Lester n n
2019 conference paper
Generating educational game levels with multistep deep convolutional generative adversarial networks
IEEE Conference on Computatonal Intelligence and Games, CIG, 2019-August.
Contributors: K. Park n, B. Mott n, n , K. Boyer *, E. Wiebe n & J. Lester n
2019 conference paper
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.
Contributors: S. Taylor n, n , B. Mott n, A. Emerson n, A. Smith n , E. Wiebe n, J. Lester n
2019 article
Predicting Dialogue Breakdown in Conversational Pedagogical Agents with Multimodal LSTMs
ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2019, PT II, Vol. 11626, pp. 195–200.
2019 article
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.
Contributors: J. Wiggins*, M. Kulkarni*, n , K. Boyer*, B. Mott n, E. Wiebe n , J. Lester n
2019 conference paper
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
2018 conference paper
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
2018 conference paper
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
2018 conference paper
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
2018 conference paper
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.
Contributors: J. Wiggins *, M. Kulkarni*, n , K. Boyer *, B. Mott n, E. Wiebe n , J. Lester n
Event: the 4th International Workshop
2017 article
"Thanks Alisha, Keep in Touch": Gender Effects and Engagement with Virtual Learning Companions
ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2017, Vol. 10331, pp. 299–310.
Contributors: L. Pezzullo*, J. Wiggins *, M. Frankosky n, n , K. Boyer *, B. Mott n, E. Wiebe n , J. Lester n
2017 conference paper
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
2017 article
Inducing Stealth Assessors from Game Interaction Data
ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2017, Vol. 10331, pp. 212–223.
Contributors: , M. Frankosky n, B. Mott n, E. Wiebe n , K. Boyer * & J. Lester n n
2017 conference paper
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
2017 conference paper
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
2017 conference paper
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
2016 chapter
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).
Ed(s): A. Micarelli, J. Stamper & K. Panourgia
2016 conference paper
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.
2016 conference paper
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
2016 conference paper
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
2015 article
DeepStealth: Leveraging Deep Learning Models for Stealth Assessment in Game-Based Learning Environments
ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2015, Vol. 9112, pp. 277–286.
2015 chapter
Diagrammatic Student Models: Modeling Student Drawing Performance with Deep Learning
In Lecture Notes in Computer Science (Vol. 9146, pp. 216–227).
2014 conference paper
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
2014 book
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).
2013 book
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).
2009 book
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).
Contributors: & Y. Cheong * *
2008 conference paper
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.
Contributors: , E. Shim*, Y. Kim* & Y. Cheong * *
2006 book
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).
Contributors: Y. Cheong *, Y. Kim*, * , E. Shim* & J. Kim *
conference paper
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.
Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.
Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.