● ⟶ MLTI Lab / Projects / CLEAR
CLEAR
●ABOUT
CLEAR is an AI-enhanced multimodal learning analytics platform designed to help teachers and students better recognize, interpret, and support collaborative learning in K-12 classrooms. Co-designed from the outset with researchers, educators, and developers, CLEAR analyzes verbal, nonverbal, and object-based interactions to surface patterns of group dynamics that are often difficult to capture, organize, or act on during classroom activity.
Grounded in teachers’ needs, CLEAR is built for responsible integration into authentic learning environments. It brings together classroom management, file organization, and multimodal analytics in one platform, offering a more coherent and convenient environment for supporting collaborative learning.
●CONTRIBUTORS
- Hakeoung Hannah LeeMLTI Lab Director · Assistant ProfessorUniversity of Virginia
- Jeehun SungAI DeveloperMooWee Co., Ltd
- Hyun G. KwonResearch Professor · Community PartnerKorea University · The Society of Technology for Education and Learning Analytics
- Jongheon KimSchool PartnerSejong Academy of Science and Arts · South Korea
- Jandi ChoiJunior Designer & DeveloperKorea Institute of Curriculum and Evaluation
- Hyeri Mel YangIncoming Ph.D. Student · Education (Major)Harvard University · United States
- Chaeyeon KimPh.D. Student · Learning Sciences (Major)University of Wisconsin–Madison · United States
●RELATED RESEARCH
- Lee, H. H., Kwon, H. G., Kim, J., Sung, J., Choi, J., Yang, H., Kim, C., & Lujan, M. (2026, June). Influence and negotiation in co-designing an AI-enhanced Multimodal Learning Analytics platform for secondary STEM classrooms. In Proceedings of the Impactful and Responsible AI Systems for Education Workshop (IRAISE) at the Festival of Learning 2026. Proceedings of Machine Learning Research Research
- CLEAR is an active project, with more publications and presentations to come as the research develops.