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Integrating AI into Project-Based Learning
Project-based learning empowers students to take ownership of their education by engaging in meaningful, real-world challenges. AI can enhance this process by acting as a thought partner, helping students generate ideas, refine their work, and...
Using a Custom Chatbot to Support Virtual Learners
This strategy highlights how Denver Online High School integrates a custom AI chatbot into coursework to support remote learners. By embedding just-in-time, course-specific assistance within their LMS, students can develop self-direction skills...
Telling the Story: A Human-Centered Approach to Scaling Through Uncertainty
In a time of shrinking budgets and shifting priorities, edtech products and education programs face growing challenges when trying to scale. Storytelling offers a powerful way to bridge the gap between innovation and adoption—by centering real-world...
Outcomes-Based Contracting for Tutoring
Learn how school systems can drive student success by tying tutoring investments to measurable outcomes using tools and strategies from the Center for Outcomes Based Contracting.
The Eliot Innovation School’s January 2025 AI & Instruction PD Slides
This professional development session supported educators in deepening their understanding of AI tools and integrating them into data-informed planning. It reflects Eliot’s commitment to building system wide instructional capacity, ensuring AI...
The Eliot Innovation School’s Staff Culture Foundational Reading: Good Seeds Grow in Strong Cultures
This foundational article by Jon Saphier and Matthew King outlines 12 key cultural norms that drive sustained instructional improvement. The Eliot team cites this research as a guiding force in their AI strategy, intentionally sequencing their...
How can school and district leaders build the prerequisite conditions for AI to be used powerfully, equitably, and responsibly?
This problem of practice provides three approaches school and district leaders can take to build the prerequisite conditions for AI to be used powerfully, equitably, and responsibly.
United Charter High School for the Humanities II Staff AI Use Policy
This internal policy outlines clear guidelines for AI use by staff, including permissible applications, student data protections, responsible oversight, and required professional learning. It establishes expectations for ethical, transparent, and...
United Charter High School for the Humanities II Student AI Use Policy
This student-facing AI policy outlines clear guidelines for responsible, ethical, and transparent AI use across academic settings, emphasizing academic integrity, digital literacy, and data privacy.
Making AI Guidance Actionable for Teachers, Students, and Families
By starting with stakeholder input and pairing policy with tailored supports, United Charter High School Humanities II created a clear, community-aligned approach to AI integration. Their work shows how schools can move from policy to practice by...
Using Surveys to Understand Staff AI Use
This strategy highlights how United Charter High School Humanities II developed and implemented a staff survey to understand how educators were currently using AI and what support they needed. The approach was later scaled across the seven-school...