In this project, Carnegie addresses the measurement challenges of educators by supporting the development and testing of practical measures for instructional improvement and providing guidance for how improvement networks and partnerships can do the same.
Angel Li joined the Foundation as an associate in the evidence and analytics group in 2020. Prior to joining the Foundation, Li worked for Denver Public Schools (DPS) as an innovation and improvement specialist holding the position of analytics lead of the College Ready On Track Network for School Improvement. In her time with DPS, she leveraged her expertise in quantitative and qualitative research, as well as training in liberatory design and networked improvement science to support network initiation and progress monitoring. She is interested in studying how an equity X design X networked improvement model can be applied at the classroom, school, network, and district level.
Li earned a B.A. in psychology from the University of Michigan and a Ph.D. in psychology from the University of Hong Kong. Reflecting the cross-disciplinary nature of her work, she holds publications in education, communication, psychology, and sociology.
Carnegie and Partners for Network Improvement have developed a conceptual and analytics infrastructure for understanding network health and development and a survey of network health and an associated set of reporting and analysis tools.