Date: 16 September 2026
Time:
1300 – 1400 UTC
0600 – 0700 San Francisco, CA, USA
0800 – 0900 Chicago, IL, USA
1400 – 1500 London, United Kingdom
1500 – 1600 Amsterdam, Netherlands | Stockholm, Sweden | Zürich, Switzerland
2100 – 2200 Singapore
2200 – 2300 Tokyo, Japan
Professor Heather Hill of Harvard University will share her recent research on AI-Assisted Professional Learning, which focuses on using AI to transcribe and summarize lessons, detect lesson characteristics, and create student participation profiles.
Chairperson
Catherine Lewis (United States)
Speakers
Heather C. Hill (Sweden) Professor of Education at Harvard University, studies policies and programs designed to improve teacher and teaching quality, particularly in mathematics. Her recent research focuses on teacher learning and professional development, the quality of mathematics instruction, the effectiveness of different approaches to teacher education, and machine learning tools that automate the measurement of instruction and feedback to teachers. Hill and her team have also created assessments that capture teachers’ mathematical knowledge for teaching and teachers’ mathematical quality of instruction and disseminated these assessments via online training and administration systems. Hill is an elected member of the National Academy of Education and the American Academy of Arts and Sciences. She also serves on the editorial boards of several journals and is an advisor to numerous research projects and policy efforts in both the U.S. and abroad. She is co-author of Learning Policy: When State Education Reform Works (2001) with David K. Cohen.