Regional AI Network (RAIN)

Problem of Practice

The rapid advancement of generative AI presents both opportunities and challenges for PK-12 education. However, a critical gap exists in educators’ understanding of and ability to integrate this technology into their practice effectively. Without intentional, high-quality professional learning, educators may struggle to harness the benefits of generative AI while mitigating risks. This project addresses the urgent need to build educators’ capacity by developing a comprehensive, role-responsive approach to professional learning on generative AI. By equipping teachers, administrators, and support staff with the knowledge and tools to navigate this emerging technology, we aim to foster informed, responsible, and innovative implementation within the PK-12 public education system.

The problem of practice is:

• The lack of accessible, high-quality AI professional learning for educators limits their ability to prepare students for a future where AI literacy is essential.
• The need for meaningful and collaborative professional learning opportunities to support teacher engagement and reduce burnout.
• The equity gap in AI education, ensuring all districts, including those with fewer resources, can access AI-related training.

This problem is complex and cannot be solved with a one-time training but requires sustained, collaborative learning experiences. If educators receive structured, high-quality professional learning on AI, then they will feel more confident integrating AI into their classrooms/schools/districts, leading to increased student exposure to AI literacy and more equitable learning opportunities.

The problem was identified through:

• MESD, CESD, and district leaders are reviewing AI literacy needs in the region.
• Educators from the current cohort who provided feedback on their professional learning needs.
• AI education experts (including aiEDU and Encode Justice) who contributed insights into current gaps in AI training.
• University of Portland researchers involved in studying the program’s impact.

Overview

Led by Multnomah and Clackamas ESDs and supported through MCREN, the Regional AI Network (RAIN) equips educators, leaders, and communities to confidently and equitably integrate AI into PK–12 education. RAIN supports educator efficiency and retention through meaningful collaboration, future-ready tools, and inclusive outreach to families and students.

Program includes:

• Professional learning cohorts for licensed, classified, and administrative staff
• Regional communities of practice and AI leadership teams
• Outreach workshops and resources for families and community-based partners
• AI Empowered EDU Conference featuring educator-led innovation