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Integrating AI-Enabled EdTech in PK16 Education: Five Recommendations for State and District Leaders

Title: Integrating AI-Enabled EdTech in PK16 Education: Five Recommendations for State and District Leaders
Language: English
Authors: Pati Ruiz; Vanessa Peters Hinton; Yenda Prado; Sierra Noakes; Babe Liberman; Carly Chillmon; Parker Van Nostrand; Alison Shell; Sana Karim; Dominique Dallas; Isabella Zachariah; Digital Promise
Source: Digital Promise. 2025.
Availability: Digital Promise. 1001 Connecticut Avenue NW Suite 935, Washington DC 20036. Tel: 202-450-3675; e-mail: contact@digitalpromise.org; Web site: https://digitalpromise.org/
Peer Reviewed: N
Page Count: 27
Publication Date: 2025
Intended Audience: Policymakers; Administrators
Document Type: Reports - Descriptive
Education Level: Early Childhood Education; Preschool Education; Elementary Secondary Education
Descriptors: Artificial Intelligence; Technology Uses in Education; Technology Integration; Preschool Education; Elementary Secondary Education; Participative Decision Making; Governance; Accountability; Faculty Development; Administrator Responsibility; Cooperation
Abstract: Artificial intelligence (AI) is reshaping education, offering new opportunities to personalize learning, streamline administrative tasks, and prepare learners for a workforce increasingly influenced by AI-driven technologies. Yet, without careful planning, governance, and investment, these tools risk widening equity gaps, undermining trust, and overwhelming educators. This brief provides five actionable recommendations for state, district, and local leaders to guide the responsible integration of AI-enabled educational technologies (edtech) across PK-16 systems. By focusing on collaborative adoption, transparent governance, professional learning, classroom integration, and accountability systems, leaders can ensure AI-enabled edtech strengthens teaching and learning, safeguards learners, and supports equitable access to future-ready opportunities.
Abstractor: As Provided
Entry Date: 2026
Accession Number: ED678835
Database: ERIC