● ⟶ MLTI Lab / People
The people behind the questions.
Principal Investigator
Hakeoung Hannah Lee
Assistant Professor (tenure track)
Department of Curriculum, Instruction, and Special Education · School of Education and Human Development, University of Virginia
Ph.D. Science, Technology, Engineering, and Mathematics Education · 2025
M.S. Statistics · 2024
B.Ed. Elementary Education · 2021
Hakeoung Hannah Lee's scholarship centers on empowering K–12 students, especially multicultural and multilingual learners from marginalized communities, by developing and deploying AI-enhanced multimodal learning analytics approaches in STEM learning contexts. Grounded in sociocultural perspectives, her work centers the experiences of marginalized learners by (1) designing and deploying AI-enhanced multimodal video analysis systems and (2) embedding learning analytics in context, with particular attention to responsible and ethical AI design. A hallmark of her research is its focus on revealing the diverse and complex nature of student participation, which is often oversimplified or misrepresented by existing AI tools that rely solely on text-based or single-modality data.
// reach
hannahlee@virginia.edu434.243.5466
Bavaro Hall 209
417 Emmet St S
Charlottesville, VA 22903
417 Emmet St S
Charlottesville, VA 22903
// elsewhere
UVA bio ↗Google Scholar ↗ORCID ↗ResearchGate ↗LinkedIn ↗CV (PDF) ↓Students
Undergraduate Research Assistant
University of Virginia
Neuroscience (Major)
Camyla Gonzalez is an Undergraduate Research Assistant in the Multimodal Learning & Teaching Inquiry (MLTI) Lab at the University of Virginia School of Education and Human Development. Her research interests include multimodal learning analytics, educational technology, and equitable learning environments. She works with Spanish classroom video data to investigate student engagement, collaboration, and participation using AI-enhanced analytic tools. Through her research, Camyla seeks to better understand how diverse learners interact in educational settings and how technology can support more inclusive and effective learning experiences.
Lauren Kim
Undergraduate Research Assistant
University of Virginia
Kinesiology (Major)
Lauren Kim is a second-year Undergraduate Research Assistant in Kinesiology at UVA on the Pre-Health Track. Lauren currently works with children at a Pediatric Clinic, and she dreams of a future career in Dermatology. Through her research, she is excited to explore the relationships among culture, language, and diversity in youth.
Dong-Geon Kim
Visiting Undergraduate Research Assistant
Korea Advanced Institute of Science & Technology (KAIST)
Computer Science (Major), Mathematical Sciences (Minor)
Dong-geon Kim is an undergraduate student in the School of Computing at KAIST, minoring in Mathematical Sciences. As a Presidential Science Scholarship recipient, he has built a strong foundation in programming and mathematical modeling through various research and publication projects. He is currently focused on expanding his expertise into the field of computer vision, exploring how computer science and mathematical principles can be applied to visual data. He is passionate about combining his research experience with his interest in AI to develop a deeper understanding of intelligent systems.
Undergraduate Research Assistant
University of Virginia
Systems Engineering (Major), Business & Data Science (Minor)
Jiei Ota is a third-year majoring in Systems Engineering while minoring in Business and Data Science at the University of Virginia. He is interested in the rapid evolution of artificial intelligence and passionate about finding impactful ways to improve the use of AI technologies across various industries. With experience in data interpretation through working with the Department of Transportation, Jiei is particularly drawn to the intersection of AI and education, aspiring to explore how data can be leveraged to improve and personalize learning in the future.
Jia Lu
Ed.D. Student
University of Virginia
Curriculum & Instruction
Incoming Ph.D. Student
Many more collaborators contribute to our work by partnering with us on specific projects. See each project for more information.
SEE PROJECT COLLABORATORS →⟶ JOIN THE LAB
Recruiting
students for Fall 2027.
We read every inquiry. Tell us what questions you’d bring to learning sciences and multimodal learning analytics research, and why MLTI is the right home for that work.