Scaling Expertise via Language Models - With Applications to Education

Watch a compelling colloquium presentation from Stanford University researcher Rose Wang exploring innovative approaches to scaling educational expertise through language models. Discover the development of Bridge, an adaptation method that captures expert reasoning patterns, and learn about Tutor CoPilot, a groundbreaking Human-AI system that provides real-time guidance to tutors. Explore the results of a landmark randomized controlled trial involving 900 tutors and 1,800 K-12 students that demonstrates significant improvements in learning interactions for underserved communities. Gain insights into how computational methods and interventions can embed expert-like thinking into language models while maintaining the essential human element in education. Follow along as Wang, a distinguished Computer Science Ph.D. candidate, shares her research that has impacted over 200,000 students across the U.S., UK, and India, earning recognition in the 2025 Economic Report of the President and multiple prestigious academic awards.