Hanall Sung
Hanall Sung, PhD
Assistant Professor
Hanall Sung is an assistant professor of educational data science in the Department of Theory & Practice in Teacher Education at the University of Tennessee, Knoxville.
Her research explores multimodal approaches to knowledge construction, expression, and assessment in technology-enhanced learning and teaching, examining both human–human and human–AI interactions. She focuses on human–AI collaboration in education across three strands: personalizing and supporting learning using AI systems, partnering with AI to model complex learning processes, and co-design immersive XR environments for STEM education. Her expertise spans multimodal learning analytics, human-AI interaction, immersive technology design, and discourse analysis.
Sung is an active member of the academic community, serving on the membership committee for the International Society of the Learning Sciences (ISLS) and chairing for Korean EduTech/Learning Sciences (KELS) Research Network. Her work has been published in prominent journals in education, including the British Journal of Educational Technology, Review of Educational Research, and the International Journal of Educational Technology in Higher Education. She earned her Ph.D. and M.S. in Educational Psychology (Learning Sciences) from the University of Wisconsin–Madison and holds a B.A. and M.A. in Educational Technology from Ewha Womans University in South Korea.