This internal slide deck outlines Eliot’s process for mid-year data analysis, from identifying schoolwide trends to targeting subgroup needs. It reflects how the school uses structured data reviews to inform instructional shifts—such as customizing small group lessons using AI tools—and maintain a strong continuous improvement cycle tied to real student outcomes.
This Padlet board captured collaborative learning from Eliot’s AI-focused text club, where educators explored foundational questions about AI’s role in teaching and learning. The forum offered a supportive, low-pressure space for teachers to develop shared understanding, raise implementation questions, and connect AI to instructional goals, laying the cultural groundwork for future innovation.
A custom-built AI chatbot designed to support English learners in building content knowledge while strengthening academic language skills. ELSA (English Learner Support Assistant) offers scaffolded explanations, vocabulary support, and structured practice activities aligned to classroom content.
The Center for Outcomes Based Contracting’s District Artifacts collection is designed for K–12 leaders and program managers piloting outcomes-based contracting. It features sample contracts, requests for proposals (RFPs), and even rate cards to support education leaders with concrete templates and best practices.
The Center for Octcomes Based Contracting District Toolkit is designed for K–12 district leaders and state education agencies seeking to implement outcomes-based contracting for tutoring and educational services. It offers templates, checklists, and tools to structure outcome-driven partnerships and monitor impact.
Use this worksheet to define the key benefits that set your product or service apart. A strong value proposition communicates what makes your offering valuable, how it solves real problems, and why it outperforms the alternatives. This tool helps you distill your value into a compelling statement that can evolve into a story, connecting your solution to specific moments or outcomes your audience cares about. Ready to move from value to impact? Start here.
This landscape scan captures and compares emerging AI guidance from state and local education agencies across the U.S., highlighting how leaders are beginning to frame instructional use, provide implementation supports, and articulate guiding principles. It offers a snapshot of the field’s early response to AI in K–12 education and can be used alongside other tools to inform more coherent, student-centered policy development.
These are the prompt instructions that Agua Fria used to develop their custom interdisciplinary learning planning support chatbot.
Posters highlighting each ELI organization, including an organizational overview, description of their innovation, what they’ve learned so far, and questions they’re exploring.
