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To develop true AI literacy, students must actively create alongside AI, rather than passively consume its outputs. DSST Public Schools civics teachers Zach Kennelly and Gianna Geraffo designed a project where students built AI-powered chatbots to...
Valley New School’s Project Checklist guides students through the process of development by outlining the key steps for students to follow and complete their projects. It also offers helpful suggestions on how to approach each step.
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...
As AI becomes increasingly integrated into everyday life, students need opportunities to examine its ethical implications critically. This resource explores how educators can use workshops to help students reflect on AI’s biases, environmental...
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...
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...
This strategy highlights how Agua Fria Union High School District used AI to support interdisciplinary curriculum development through their Academy-Based Learning (ABL) model. By building a custom chatbot to help teachers generate activities...
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.
This strategy highlights how schools can lay the groundwork for effective, equity-driven AI integration by building on existing strengths in professional learning, data use, and continuous improvement. By rooting AI in instructional culture and...
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...
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.