"AI teaches itself": Exploring Young Learners' Perspectives on Artificial Intelligence for Instrument Development
PROCEEDINGS OF THE 2023 CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, ITICSE 2023, VOL 1, pp. 485–490.
A learning analytics approach towards understanding collaborative inquiry in a problem-based learning environment
Saleh, A., Phillips, T. M., Hmelo-Silver, C. E., Glazewski, K. D., Mott, B. W., & Lester, J. C. (2022, February 26). BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY.
Investigating Student Interest and Engagement in Game-Based Learning Environments
ARTIFICIAL INTELLIGENCE IN EDUCATION, PT I, Vol. 13355, pp. 711–716.
2022 journal article
Investigating a visual interface for elementary students to formulate AI planning tasks
JOURNAL OF COMPUTER LANGUAGES, 73.
Lessons Learned for AI Education with Elementary Students and Teachers
Ottenbreit-Leftwich, A., Glazewski, K., Jeon, M., Jantaraweragul, K., Hmelo-Silver, C. E., Scribner, A., … Lester, J. (2022, September 14). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION.
Multimodal Behavioral Disengagement Detection for Collaborative Game-Based Learning
ARTIFICIAL INTELLIGENCE IN EDUCATION: POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS, PRACTITIONERS AND DOCTORAL CONSORTIUM, PT II, Vol. 13356, pp. 218–221.
A reinforcement learning approach to adaptive remediation in online training
Spain, R., Rowe, J., Smith, A., Goldberg, B., Pokorny, R., Mott, B., & Lester, J. (2021, July 23). JOURNAL OF DEFENSE MODELING AND SIMULATION-APPLICATIONS METHODOLOGY TECHNOLOGY-JDMS, Vol. 7.
Designing a Visual Interface for Elementary Students to Formulate AI Planning Tasks
2021 IEEE SYMPOSIUM ON VISUAL LANGUAGES AND HUMAN-CENTRIC COMPUTING (VL/HCC 2021).
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.
Modeling Frustration Trajectories and Problem-Solving Behaviors in Adaptive Learning Environments for Introductory Computer Science
ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2021), PT II, Vol. 12749, pp. 355–360.
2021 journal article
Modeling Secondary Students' Genetics Learning in a Game-Based Environment: Integrating the Expectancy-Value Theory of Achievement Motivation and Flow Theory
JOURNAL OF SCIENCE EDUCATION AND TECHNOLOGY, 30(4), 511–528.
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.
2020 journal article
Coordinating scaffolds for collaborative inquiry in a game-based learning environment
JOURNAL OF RESEARCH IN SCIENCE TEACHING, 57(9), 1490–1518.
4D Affect Detection: Improving Frustration Detection in Game-Based Learning with Posture-Based Temporal Data Fusion
ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2019), PT I, Vol. 11625, pp. 144–156.
2019 journal article
A Multimodal Assessment Framework for Integrating Student Writing and Drawing in Elementary Science Learning
IEEE Transactions on Learning Technologies, 12(1), 3–15.
2019 journal article
Collaborative inquiry play A design case to frame integration of collaborative problem solving with story-centric games
INFORMATION AND LEARNING SCIENCES, 120(9/10), 547–566.
2019 journal article
Construction and Validation of an Anticipatory Thinking Assessment
FRONTIERS IN PSYCHOLOGY, 10.
Designing and Developing Interactive Narratives for Collaborative Problem-Based Learning
INTERACTIVE STORYTELLING, ICIDS 2019, Vol. 11869, pp. 86–100.
HEALTH QUEST: PROMOTING ADOLESCENTS' HEALTH SCIENCE CAREER INTERESTS THROUGH TECHNOLOGY-RICH LEARNING EXPERIENCES
Ozer, E. M., Penilla, C., Spain, R. D., Mott, B. W., Woodson, D., & Lester, J. C. (2019, February). JOURNAL OF ADOLESCENT HEALTH, Vol. 64, pp. S134–S134.
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.
2018 journal article
Detecting and Addressing Frustration in a Serious Game for Military Training
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 28(2), 152–193.
Infusing Computational Thinking into Middle Grade Science Classrooms: Lessons Learned
WIPSCE'18: PROCEEDINGS OF THE 13TH WORKSHOP IN PRIMARY AND SECONDARY COMPUTING EDUCATION, pp. 109–114.
2018 conference paper
Introducing the Computer Science Concept of Variables in Middle School Science Classrooms
Proceedings of the 49th ACM Technical Symposium on Computer Science Education - SIGCSE '18, 906–911.
Event: the 49th ACM Technical Symposium
Towards Adaptive Support for Anticipatory Thinking
PROCEEDINGS OF THE TECHNOLOGY, MIND, AND SOCIETY CONFERENCE (TECHMINDSOCIETY'18).
"Thanks Alisha, Keep in Touch": Gender Effects and Engagement with Virtual Learning Companions
ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2017, Vol. 10331, pp. 299–310.
Inducing Stealth Assessors from Game Interaction Data
ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2017, Vol. 10331, pp. 212–223.
2017 journal article
Play in the Museum: Design and Development of a Game-Based Learning Exhibit for Informal Science Education
INTERNATIONAL JOURNAL OF GAMING AND COMPUTER-MEDIATED SIMULATIONS, 9(3), 96–113.
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.
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 conference paper
Leveraging collaboration to improve gender equity in a game-based learning environment for middle school computer science
2015 Research in Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT).
Mind the Gap: Improving Gender Equity in Game-Based Learning Environments with Learning Companions
ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2015, Vol. 9112, pp. 64–73.
Two Modes Are Better Than One: A Multimodal Assessment Framework Integrating Student Writing and Drawing
ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2015, Vol. 9112, pp. 205–215.
2014 journal article
A Supervised Learning Framework for Modeling Director Agent Strategies in Educational Interactive Narrative
IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES, 6(2), 203–215.
2014 journal article
Designing game-based learning environments for elementary science education: A narrative-centered learning perspective
INFORMATION SCIENCES, 264, 4–18.
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).
2014 conference paper
Serious games go informal: a museum-centric perspective on intelligent game-based learning
Intelligent tutoring systems, its 2014, 8474, 410–415.
2008 journal article
Modeling self-efficacy in intelligent tutoring systems: An inductive approach
USER MODELING AND USER-ADAPTED INTERACTION, 18(1-2), 81–123.
Affect dynamics in military trainees using vMedic: From engaged concentration to boredom to confusion
Ocumpaugh, J., Andres, J. M., Baker, R., DeFalco, J., Paquette, L., Rowe, J., … Sottilare, R. Artificial intelligence in education, aied 2017, 10331, 238–249.
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.
Modeling self-efficacy across age groups with automatically tracked facial expression
Grafsgaard, J. F., Lee, S. Y., Mott, B. W., Boyer, K. E., & Lester, J. C. Artificial intelligence in education, aied 2015, 9112, 582–585.