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MASS

Multimodal Analytics Support Studio
← Multimodal STEM+AI Classrooms: A Sociocultural Inquiry into Participatory Design for Collaborative Learning
●ABOUT

MASS (Multimodal Analytics Support Studio) turns hours of observational video into structured, shareable insight. An AI agent guides your analysis, a collaborative labeler captures what’s happening on screen, and the participation map makes patterns visible at a glance.

●CONTRIBUTORS
●RELATED RESEARCH
  • Lee, H. H., Sung, H., Celedón-Pattichis, S., & Pattichis, M. S. (2026). Toward an inclusive understanding of collaborative learning using MMLA: Exploring multimodal participation dynamics by gender and linguistic diversity. Learning and Instruction, 102, 102317. https://doi.org/10.1016/j.learninstruc.2026.102317
    · Special issue on Implementing multimodal learning analytics (MMLA) in ecological settings for generating actionable insights
    Research
  • Lee, H. H. (2026, June). AI-Enhanced sociocultural, multimodal approaches for equitable collaborative learning: Learning, power, and multimodality. In General Proceedings of the ISLS Annual Meeting 2026. International Society of the Learning Sciences Research
  • Lee, H. H., Lujan, M., Jatla, V., Egala, U., Pattichis, M. S., & Celedón-Pattichis, S. (2026, June). Integrating AI and interaction analysis: A mixed-methods approach to tracing object-based participation in CSCL. In Proceedings of the 19th International Conference on Computer-Supported Collaborative Learning - CSCL 2026. International Society of the Learning Sciences Research
  • Lee, H. H., Lujan, M., Jatla, V., Egala, U., Pattichis, M. S., Celedón-Pattichis, S., & Cantú, E. (2026, April). Multimodal participation analysis in CSCL through AI-enhanced Activity Mapping and screen recording video analysis systems [Conference presentation]. The Annual Meeting of the American Educational Research Association (AERA 2026), Los Angeles, CA, United States. Research
  • Lee, H. H. (2025, June). AI-enhanced sociocultural analysis of keyboard access in CSCL: Proxy, gatekeeper, or mediator of intellectual influence? In General Proceedings of the ISLS Annual Meeting 2025. International Society of the Learning Sciences Research
  • Lee, H. H. (2025, March). Table dynamics: AI-enhanced analysis of keyboard access and power dynamics in collaborative STEM learning groups. In Companion Proceedings of the 15th International Conference on Learning Analytics & Knowledge (LAK25) (pp. 325-331). Society for Learning Analytics Research Research
  • Lee, H. H., Celedón-Pattichis, S., Jatla, V., & Pattichis, M. S. (2025, April). Exploring keyboard interactions and power dynamics in collaborative groups using AI for tracking human activity [Conference presentation]. The Annual Meeting of the American Educational Research Association (AERA 2025), Denver, CO, United States.
    🏆 Nominated for the Advanced Technologies for Learning/Learning Sciences (ATL/LS) Special Interest Groups’ Best Student Paper Award.
    Research
  • Lee, H. H. (2025, April). AI-enhanced sociocultural analysis of keyboard access in collaborative computer science learning using 3D convolutional neural networks [Conference presentation]. 2025 Korean American Educational Researchers Association (KAERA) Conference, Denver, CO, United States. Research
  • Lee, H. H. (2024, May 31). Equity Learning Analytics: A Multimodal Approach to Understanding Group Dynamics through Verbal, Nonverbal, and Object-Based Interactions in Collaborative Learning [Invited presentation]. Learnest Inaugural Ethical AI in Education Colloquium at Stanford University, CA, USA (Invited to give a presentation as a fellowship recipient). Research
  • MASS is an active project, with more publications and presentations to come as the research develops.