01 Chapter one
About
Welcome to my homepage.
My name is Donghan Fu, and I am a Ph.D. student in the School of Information Science and Learning Technologies (SISLT) at the University of Missouri‑Columbia (MU). I'm currently a member of the Technology to Enhance Learning Lab (TELL) led by Dr. Xinhao Xu. My research sits at the intersection of Human‑Computer Interaction (HCI), Human‑Artificial Intelligence (AI) Interaction (HAII), and AI for health promotion and STEM education. I am especially interested in how generative AI reshapes the ways people communicate, understand, and learn STEM content, and how AI can help address health challenges related to depression and women's health.
My work follows two interconnected strands.
Human‑AI Interaction for Health
I design and study applications that support mental health and women's health, including for pregnant people. I combine MR/XR with large language models to focus on the communication process, use advanced approaches to analyze its psychological dynamics, and examine how people make sense of both illness and AI.
AI‑Enhanced Learning and Analytics
I investigate how learners engage with AI‑powered educational tools such as conversational teaching agents. By capturing and interpreting the multimodal data generated in these interactions, I aim to advance learning analytics and evidence‑based design.
By integrating emerging media technologies with psychological frameworks, my goal is to diagnose real‑world challenges in health promotion and science learning, then design generative‑AI solutions that improve communication and educational effectiveness.
I hold a Ph.D. in Communication from Beijing Normal University (BNU), during which I was a visiting scholar in the Department of Communication Arts at the University of Wisconsin–Madison in 2024. I earned an M.A. in Journalism and Communication from Wuhan University (WHU), as well as dual bachelor's degrees: a B.S. in Chemistry from Central China Normal University (CCNU) and a B.A. in Advertising from WHU. Prior to joining SISLT at Mizzou, I worked as a postdoctoral researcher at WHU from 2024 to 2025.
Beyond my academic pursuits, I am deeply committed to hands‑on design — from developing applications to driving AI‑powered product innovation — and to uncovering learners' nuanced needs to guide ongoing product refinement. Ultimately, my work aims not only to push forward the fields of learning analytics and AI for science education but also to forge strong industry partnerships that tackle the real challenges learners face. I warmly invite colleagues and collaborators from academia, industry, and educational institutions to connect and explore opportunities together.
Motto
Girls can be great scientists — and they can pursue their dreams at any stage of life.
In my spare time, I love snowboarding and dream of visiting and riding at all the most iconic ski resorts around the world.
Ph.D. student, School of Information Science and Learning Technologies, University of Missouri‑Columbia. Member of the Technology to Enhance Learning Lab (TELL).





