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School districts are making consequential AI decisions largely on their own—purchasing tools, training teachers, setting policies for student use, and trying to determine what responsible and effective adoption looks like. Without clear federal guidance or a reliable roadmap, what are the most advanced districts learning, and what does it reveal about what the field needs to do differently?
Must-Reads
- Research Reports
School districts are making consequential AI decisions largely on their own—purchasing tools, training teachers, setting policies for student use, and trying to determine what responsible and effective adoption looks like.
- Research Reports
New AI tools are entering the ed tech market every day. But how are they actually playing out in schools and classrooms?
Latest Research Publications
- Research Reports
Early Adopter Districts and AI: Strategic Pathways, System Strain, and the Conditions for Amplifying Transformation
School districts are making consequential AI decisions largely on their own—purchasing tools, training teachers, setting policies for student use, and trying to determine what responsible and effective adoption looks like.
- Research Reports
Reimagining Learning for the Age of AI: Visions from CRPE’s Think Forward Fellows
Will AI reinforce existing models of schooling, or will it help us build learning environments that center purpose, relationships, and real-world contributions?
- Research Reports
States and AI: An Early Look at How Early Adopters Are Approaching AI in Education
As AI use expands in schools, states are beginning to define their role—often without clear federal direction. What actions are they taking, and how are they approaching AI integration in K–12 education?