MLTI Lab
 ⟶  MLTI Lab / People

The people behind the questions.

Hakeoung Hannah Lee
PRINCIPAL INVESTIGATOR

Hakeoung Hannah Lee

Director · Assistant Professor of Education (tenure track)
Curriculum, Instruction, and Special Education · School of Education and Human Development, University of Virginia
AREA: EDUCATIONAL TECHNOLOGY / AI IN EDUCATION
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. Lee positions herself as a scholar aiming to bridge the fields of learning sciences and learning analytics. Her interdisciplinary and multilingual background spans K-12 education, statistics and programming, learning sciences, and STEM education. Her work has been published in various peer-reviewed journals and proceedings, including the Journal of Learning Analytics, Educational Researcher, Springer Nature Computer Science, and the Bilingual Research Journal. She has been the recipient of numerous esteemed awards and honors, including three national government awards for distinguished achievements in science and ICT, education, and equity, such as the Talent Award of Korea, conferred by the Minister of the Korean Ministry of Education. In addition to her research, Lee is a founding member and Director of Research for the nonprofit organization, the Society of Technology for Education and Learning Analytics, where she advances efforts to foster responsible and impactful uses of technology in education with practitioners and policymakers.
EDUCATION
Ph.D. · STEM Education · The University of Texas at Austin · 2025
M.S. · Statistics · The University of Texas at Austin · 2024
B.Ed. · Elementary Education · Jeju National University · 2021
// reach
hannahlee@virginia.edu
434.243.5466
Bavaro Hall 209
417 Emmet St S
Charlottesville, VA 22903
// elsewhere
UVA bio ↗Google Scholar ↗ORCID ↗CV (PDF) ↓
Contributors
STUDENTS
INCOMING ED.D. STUDENT
Jia Lu
Curriculum & Instruction
2030 (exp.)
PH.D. STUDENT
[Placeholder]
Multimodal Learning Analytics
TBD
PH.D. STUDENT
[Placeholder]
AI in Education
TBD
COLLABORATORS
Miguel Lujan
Collaborator · AI Developer, Data Analyst
United States Department of War
Sylvia Celedón-Pattichis
Collaborator · Professor
The University of Texas at Austin · United States
Marios S. Pattichis
Collaborator · Professor
The University of New Mexico · United States
Hyun G. Kwon
Collaborator
The Society of Technology for Education and Learning Analytics
Jongheon Kim
Jongheon Kim
School Partner
Sejong Academy of Science and Arts · South Korea
Jeehun Sung
Collaborator · AI Developer
MooWee Lab · South Korea
Jandi Choi
Jandi Choi
Collaborator · Junior Designer & Developer
Korea Institute of Curriculum and Evaluation
Hyeri Mel Yang
Hyeri Mel Yang
Collaborator · Incoming Ph.D. Student
Harvard University · United States
Chaeyeon Kim
Chaeyeon Kim
Collaborator · Ph.D. Student
University of Wisconsin–Madison · United States
⟶ JOIN THE LAB

Recruiting Ph.D.
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.