Inside a North Carolina middle school classroom, a video camera swivels on its tripod while five microphones capture clues to the age-old question: How do you teach math to kids?
Recordings from this lesson by teacher Mitchelle McLeod and many more like it from across the United States are being fed into an artificial intelligence (AI) program trained to spot instances of student engagement and the teaching practices that elicit learning.
It鈥檚 part of a project funded by a $4.5 million grant from the Gates Foundation/Walton Family Foundation and led by the 麻豆原创鈥檚 (EDSI) to create a massive database arming scholars and ed-tech companies with real-world classroom data to mine for best practices.
The three-year UMD effort is led by education policy Associate Professor and EDSI Director Jing Liu, and initially supported by a awarded to help educators fight the national trend since the COVID-19 epidemic of falling elementary- and middle-school math scores.
Join 麻豆原创 education researchers as they explore the future of teaching and learning in the latest installment of 鈥.鈥
