☕️About Me
Dr. Zhanxin Hao is a research associate (Shuimu Scholar) at the School of Education, Tsinghua University. Her research focuses on the intersection of Artificial Intelligence (AI) and education, exploring behavior patterns in human–AI interaction, and their long-term impacts on learning and students’ socio-emotional development. She leads educational research within the Massive AI-empowered Course (MAIC) project, directing studies on learning analytics in AI-mediated learning environments. Prior to joining Tsinghua, Zhanxin received her Ph.D. from the University of Oxford and her bachelor’s degree from Beijing Normal University.
- Artificial Intelligence in Education (AIEd)
- Human–AI Interaction
- Multi-modal Learning Analytics
- AI-enabled Adaptive Learning Environments
- Multi-agent systems
PhD Educational Assessment
University of Oxford
MA Educational Assessment
University College London
BA Education
Beijing Normal University
My recent research investigates human-AI collaborative learning environments through two interconnected strands:
1⃣️ Understanding Student-AI Interaction Dynamics
I examine how learners interact with AI agents across pedagogical roles (i.e., as teachers, peers) for knowledge acquisition and problem-solving, analyzing distinctive behavioral patterns, communication dynamics, and how individual differences (e.g., prior knowledge, cognitive styles) and AI literacy mediate these interactions. I am interested in identifying which learner profiles benefit most from specific AI configurations and why.
2⃣️ Optimizing AI-Enhanced Learning
I explore principled approaches to designing AI tools and environments that maximize learning effectiveness by investigating how different AI design features impact engagement and comparing outcomes of various AI-mediated pedagogical strategies.
3⃣️ Advancing Educational Research Through AI
I develop and validate AI-assisted methods to expand educational research capabilities, including AI-facilitated data collection techniques (e.g., conversational agents for interviews) and automated analysis frameworks (e.g., automatic qualitative coding).
Please feel free to reach out for collaboration or detailed information😃
