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AI Early Adopter Districts: The Promises and Challenges of Using AI to Transform Education

Title: AI Early Adopter Districts: The Promises and Challenges of Using AI to Transform Education
Language: English
Authors: Bree Dusseault; Maddy Sims; Michael Berardino; Arizona State University (ASU), Center on Reinventing Public Education (CRPE)
Source: Center on Reinventing Public Education. 2025.
Availability: Center on Reinventing Public Education. Mary Lou Fulton Teachers College, Arizona State University. H.B. Farmer Education Building, 1050 S Forest Mall, Tempe, AZ 85281. e-mail: crpe@uw.edu; Web site: https://crpe.org/
Peer Reviewed: Y
Page Count: 22
Publication Date: 2025
Intended Audience: Policymakers; Administrators
Document Type: Reports - Research
Education Level: Early Childhood Education; Elementary Education; Kindergarten; Primary Education; Elementary Secondary Education
Descriptors: Barriers; Artificial Intelligence; Teaching Methods; Educational Change; School Districts; Administrator Attitudes; Educational Finance; Academic Support Services; Mental Health; Health Services; Educational Policy; Public Schools; Technology Integration; Computer Software; Educational Benefits; Kindergarten; Elementary Secondary Education
Abstract: Artificial intelligence (AI) is advancing rapidly and reshaping how educators manage their time, how students access academic assistance and mental health support, and how districts define what's possible. AI has the potential to transform the education delivery model and address learning gaps--but without more support, guidance, and resources, it could have the opposite effect. To understand how school districts are responding to this pivotal moment, the Center on Reinventing Public Education (CRPE) launched a national landscape study of early AI adopters in the 2024-25 school year. The study draws on surveys, focus groups, and interviews with district leaders to identify patterns in district behavior, barriers to adoption, and enabling conditions that support meaningful progress. This brief highlights key findings and offers recommendations for districts, funders, and policymakers who aim to leverage AI to address long-standing challenges in public education.
Abstractor: ERIC
Entry Date: 2025
Accession Number: ED674608
Database: ERIC