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Digital Access: How can leaders ensure that every student can access the digital tools they need to develop as expert learners?
This problem of practice offers school leaders three approaches to ensure each student has the ability to use digital tools effectively, safely, and responsibly with consistent access across both home and school settings.
Digital Design: How can leaders build educator capacity to leverage technology as a core component of instruction?
This Problem of Practice offers school leaders three approaches to ensure all teachers have access to the resources, support, and capacity needed to effectively integrate technology into their classrooms.
Massachusetts Digital Learning and Computer Science (DLCS) Frameworks
This resource shares the Digital Learning and Computer Science (DLCS) frameworks developed by the Massachusetts Department of Elementary and Secondary Education.
Digital Use: How can leaders ensure students actively use technology as a core learning component?
This problem of practice offers school leaders three strategies to close the “digital use divide,” ensuring each student has the ability and opportunity to actively and powerfully use technology as a core component of their learning.
Agua Fria Union High School District’s Artificial Intelligence & Our District Guidance
District-created AI overview guidance document.
Agua Fria Union High School District’s AI Professional Development Session Slide Deck
Slide deck used for AI professional development session for classroom teachers.
The Eliot School’s Literary Essay Feedback Reflection Checklist
Essay revision checklist designed by the Eliot School’s ELA department to support students in processing and applying AI-generated feedback on their essays.
The Eliot School: AI-Generated Feedback - Student Work Sample 1
Sixth-grade student work sample demonstrating the application of AI-generated feedback.
The Eliot School’s Student-Facing AI Feedback Conferring Log (Paper)
Student-facing conference log designed by the Eliot School to support student processing of AI-generated feedback.
Building Consistency in AI Usage Expectations with the Stoplight Framework
The AI Stoplight Framework helps educators set clear, consistent expectations for AI use by categorizing assignments into red, yellow, and green light designations. This strategy card outlines how to implement the framework effectively, featuring a...
Helping Students Process and Apply AI-Generated Feedback
This strategy card explores how educators can help students process and apply AI-generated feedback by using structured reflection and goal-setting protocols, ensuring AI serves as a tool for deep learning and metacognitive growth.