Implement sustained educator development programs including needs assessment, coaching, communities of practice, and experiential learning¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The brief recommends educator support programs addressing immediate and long-term needs: conducting a needs assessment first, incorporating faculty input (which "increases acceptance and participation"), and supporting lifelong learning through structured training, ongoing coaching, and communities of practice where educators peer review AI-assisted course designs. It also suggests train-the-trainer programs, micro-credentialing, and experiential professional learning, since "AI literacy cannot be developed without hands-on experience with AI."

Design Implications¶

Context¶

Requirements¶

• Needs assessment to identify context-relevant supports
• Hands-on experience with AI tools as part of professional learning

Constraints¶

• The brief notes AI detection tools are often inaccurate and biased, so evaluations should build on learners' previous work instead

Target Learners¶

• Postsecondary educators
• Faculty and instructional staff

Target Learning Goals¶

• Integrating AI into instruction and assessment
• Developing AI literacy for teaching and research

Related Strategies¶

• CEO Forum recommendations: prepare and certify teachers for technology integration across pre-service, licensure, and in-service career stages
• Foster communities of practice for AI governance instead of rigid top-down policies
• Hold a kick-off event aligning coaching with school and district goals, and leverage early volunteers' testimonials to build teacher buy-in
• Support first-year adopters of a comprehensive curriculum with quick-start overviews, editable materials, and curated course plans
• Invest in educator professional learning on experiential AI pedagogies using existing federal funding streams
• Invest in sustained, role-specific, discipline-specific professional learning and structured student AI literacy pathways across PK16
• Invest in program coordination, instructional coaching, and bilingual paraprofessional career pathways to improve English Learner program design
• Allocate ongoing professional development so teachers learn to evaluate and integrate AI systems appropriately
• Implementation recommendations for school RJ programs: funding, sustainability, policy integration, and professional development
• Build staff buy-in and mastery through opt-in professional development, social signaling, and preparation for fallback moments
• Implement educational chatbots with human-centred design, explicit AI policies, training, curated knowledge bases and continuous monitoring
• Operationalize the faculty standards through structured professional learning pathways with modules, microcredentials, and peer review
• Implement preventative measures: student awareness programs and regular professional development training for educators
• Address teacher perception biases through teacher training and professional development focused on scaffolding and identifying children needing extra support

Examples¶

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Key Sources¶

• Zachariah, I., Peters Hinton, V., Ruiz, P., Dallas, D., Liberman, B., & Karim, S. (2025). AI Literacy in Postsecondary Education. Digital Promise. https://doi.org/10.51388/20.500.12265/270