A reverse-chronological log of what's happening in the lab.
NOV 2026Upcoming
[TALK]
AECT 2026: LLM-based multi-agent simulation for pre-validating an AI core curriculum
Kwon, Song, Lee, Eom, Lee, and Sung present 'LLM-Based Multi-Agent Simulation for Pre-Validating an AI Core Curriculum' at the Association for Educational Communications and Technology (AECT) International Convention 2026, Chicago, IL.
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OCT 2026Upcoming
[TALK]
Invited presentation at Asilomar: AI/ML with Python in secondary mathematics
Pattichis, Panayides, Lee, and Celedón-Pattichis present at the 2026 Asilomar Conference on Signals, Systems, and Computers on integrating secondary-school mathematics with AI and machine learning through Python programming and digital image processing. Pacific Grove, CA.
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JUL 2026Upcoming
[NOTE]
Multimodal Futures project is hiring a funded Undergraduate Research Assistant
Our Multimodal Futures project is hiring a funded Undergraduate Research Assistant. Students interested in global education, responsible AI, and K-12 STEM education are encouraged to apply. Applications are due July 29, 2026.
Lee, Kwon, Kim, Sung, Choi, Yang, Kim, and Lujan present 'Influence and negotiation in co-designing an AI-enhanced Multimodal Learning Analytics platform for secondary STEM classrooms' in the Proceedings of the Impactful and Responsible AI Systems for Education Workshop (IRAISE) at the Festival of Learning 2026. Proceedings of Machine Learning Research.
Three newly funded projects, two new undergraduate research assistants, two funded openings (PhD and undergraduate research assistant positions), and upcoming presentations at ISLS 2026.
ICOLSEI 2026: modular AI-era course design with LLM multi-persona simulation
Kwon, Song, Lee, Eom, Lee, and Sung present a design-development study at the International Conference on Learning Sciences and Educational Innovation, Seoul, South Korea.
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JUN 2026
[TALK]
Presenting three papers at ISLS 2026
ISLS annual meeting: AI-Enhanced sociocultural, multimodal approaches for equitable collaborative learning: Learning, power, and multimodality. CSCL: Integrating AI and interaction analysis: A mixed-methods approach to tracing object-based participation in CSCL. ICLS: Speculating, questioning, and interpreting: A mixed-methods study of informal learning on a video-sharing social media platform.
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JUN 2026
[NOTE]
Welcome Camyla Gonzalez and Dong-Geon Kim
We are delighted to welcome two undergraduate research assistants, Camyla Gonzalez and Dong-Geon Kim, to the Multimodal STEM+AI Classrooms project.
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APR 2026
[GRANT]
UVA Global Programs of Distinction Grant
Awarded $70,000 for 'Multimodal Futures: Responsible AI for Equitable, Multilingual STEM Education Across Global Contexts.' 2026–2027. PI.
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APR 2026
[GRANT]
VIVA Open Creation Grant
Awarded $37,000 for 'Creating Open Access Textbook for Learning Theories and Practices: Past, Present, and Future.' 2026–2029. Co-PI (PI: Jinhee Kim, Old Dominion University).
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APR 2026
[PAPER]
CHI 2026: scaling course-specific AI tutors
Ko, Lee, Singh, Boddy, Ford, and Huff report instructor experiences with a campus-wide AI tutor platform. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems.
AERA 2026: Multimodal participation analysis in CSCL
Presenting 'Multimodal participation analysis in CSCL through AI-enhanced Activity Mapping and screen recording video analysis systems' at AERA 2026 in Los Angeles, CA.
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APR 2026
[TALK]
KAERA 2026: Invited mentoring session on the job market
Invited mentoring session on Learning Science, STEM/AI in Education at the 2026 Korean American Educational Researchers Association Conference, Los Angeles, CA.
Received the UVA IDEAs (Innovative, Developmental, Exploratory Awards) for the project 'Multimodal STEM+AI Classrooms: A Sociocultural Inquiry into Participatory Design for Collaborative Learning.' $10,000 over 2026–2027. PI.
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MAR 2026
[PAPER]
Paper publication in Learning and Instruction, Vol. 102
Published 'Toward an inclusive understanding of collaborative learning using MMLA' in Learning and Instruction, Vol. 102, Special issue on implementing multimodal learning analytics (MMLA) in ecological settings.