This project develops novel, highly scalable measures of cognitive, social, and emotional skills by analyzing behavioral data from students’ interactions with AI tools. The study is led by a distinguished scholar with deep research-practice partnerships with school systems nationwide and conducted in collaboration with leading AI companies. The project will draw on naturally occurring student–AI interaction data from several widely used AI platforms and traditional data from school district partnerships, including surveys, assessments, and administrative records. These data partnerships enable the project to develop new measures of higher-order thinking and self-management skills (such as engagement, persistence, and self-regulation) that can be captured frequently from passively generated AI interaction data and validated against traditional measures of student skills. The project lays the groundwork for building a scalable and comparable system for assessing and strengthening the durable skills students need for long‑run success.

Data Sources 

• Data: Administrative data from school districts and large AI companies (school-specific and more general use)
• Mobility Outcomes: None