Dr. Mei Mei is an interdisciplinary researcher whose work bridges technical systems, psychology, learning sciences, and social contexts to advance AI in education (AIED). Her research spans from investigating why AIED systems work to exploring how they can empower human agency in meaningful, equitable ways. She develops interdisciplinary artifacts (concepts, theories, methodologies, and frameworks) to guide the design and evaluation of AIED systems responsive to the real-world needs and experiences of students and teachers.
She is particularly curious about three linked questions:
• Human–AI Agency: Do AI have agency? How do humans and AI interact within distributed networks of agency, and what does this interaction lead to (good or bad)?
• Evaluation-driven approaches: What practical, evidence-based approaches can help us evaluate AIED?
• AI-native self-education: How do we engage in agency- and curiosity-driven self-education as AI becomes part of how we think and learn? and answering "how do I know I'm learning" from self-educator and researcher perspective differently.