Archives: Craft Data

Mastery-Based Learning Collaborative Evaluation Report – Cohort 1, Year 4

The Mastery-Based Learning Collaborative (MBLC) evaluation report offers insights and strategies for anyone working to shift K-12 schools, districts, and states toward more student-centered, equitable, and culturally responsive approaches.

The MBLC is a demonstration project taking place in nearly 50 schools across Washington to help decision makers understand the qualities of mastery-based (or competency-based) learning as they are enacted across diverse learning communities, how long it takes to implement, and what resources are necessary for sustained impact.

In its first four years, the initiative has led to deeper Mastery-Based Learning (MBL) implementation and has shown positive impacts on early outcomes such as school climate, cultural responsiveness, student-teacher relationships, and student engagement.

FullScale is conducting a six-year evaluation of the MBLC to identify policies, practices, and system changes that can support successful mastery-based and culturally responsive learning. The report shares findings from the first four years of the first cohort of MBLC schools, based on extensive surveys and interviews of educators, school leaders, students, state leaders, and professional learning providers.

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Extending Existing Projects with AI

Educators can integrate AI into projects they already know work well. By adding an AI-powered layer, teachers can create richer learning opportunities, spark new insights, and extend student thinking beyond what was previously possible.

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Success Simulator Using ChatGPT

Teacher Selena Padilla extended a project about utopias and dystopias by using ChatGPT. This document provides instructions that students followed to use ChatGPT to simulate the success of a society that they created. It also includes questions that prompted students to reflect on the feedback from ChatGPT.

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Desert Edge Teacher Explains Success Simulator Using ChatGPT

Teacher Selena Padilla extended a project about utopias and dystopias by using ChatGPT. In this video, Padilla provides a voiceover of the project including the instructions, student slidedecks, and facilitation of conversation. She also shares her reflections on the project and what led to its success.

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Working with Industry Partners to Design Real-World, AI-Enhanced Projects

Generative AI tools like ChatGPT help students engage deeply in authentic problem-solving challenges by supporting research, ideation, and content creation. This strategy explores how students can use AI to empathize with real-world partners, brainstorm innovative solutions, and develop polished deliverables for industry-based projects.

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Creating Real-World Publications with AI

Designing projects with real-world audiences gives students a meaningful reason to produce high-quality work. Whether developing a magazine, designing a campaign, or creating digital media, students learn to collaborate, manage workflows, and tailor their work to meet the needs of real-world applications. Generative AI can serve as a partner in this process by helping students generate ideas, draft and refine content, adapt to design constraints, and plan visuals. With thoughtful integration, AI allows students to focus on higher-order thinking and creativity while improving efficiency and the overall quality of their deliverables.

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Report: Generative Practice- Practical Insights for Unlocking the Instructional Potential of AI from the School Teams AI Collaborative

This report complies learnings from the School Teams AI Collaborative, which was a partnership between FullScale and Leading Educators that brought together ~80 educators from 19 schools who were on the leading edge of implementing AI in schools. This report shares insights and guidance about how to implement AI-enabled instructional practices and what the sector needs to do in order to cultivate transformational leaps in education.

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