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How can teachers begin to effectively and responsibly enhance teaching and learning through implementing generative AI tools?
This problem of practice offers three approaches that teachers can effectively and responsibly use to enhance teaching and learning by implementing generative AI tools.
Using NotebookLM to Make Rigorous Content Accessible
AI tools like Google’s NotebookLM can help students break down dense academic content, organize evidence, and stay engaged in rigorous research assignments. This strategy explores how educators can use NotebookLM to provide multiple entry points to...
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,...
The 4Cs: Understanding Agency-Driven Leadership in Action
This second installment in a three-part series introduces the 4Cs—Conceptual Understanding, Commitment, Competency, and Capacity—as a practical framework for agency-driven leadership, offering leaders clear entry points to strengthen the conditions...
Individual Check-ins for Student Success
Individual check-ins create structured, personalized conversations between instructors and students to build relationships, provide feedback, and address challenges early. These meetings help students feel seen and supported while modeling the type...
The State of Competency-Based Education Policy Map
The State of Competency-Based Education Policy Map is an interactive tool developed in partnership with KnowledgeWorks. Designed to highlight state-level innovation, this map provides a comprehensive overview of how K-12 education policies...
Community Schools Case Study Project
Introduction We know that there are many models of innovative learning aimed at systems transformation. This case study series aims to explore the work of community schools, who take a whole-community approach to education that aligns with the...
Statement of Principles for Model Legislation in States
Globally, the highest performing nations have competency-based education systems – not systems based on seat time. iNACOL believes in student-centered learning and makes policy recommendations based on doing what is right for kids to have greater...
Aurora Institute's 2024 Federal Policy Priorities
The Aurora Institute has released federal policy recommendations aimed at reshaping our public education system to be more personalized, competency-based, and equitable. The report highlights strategic guidance and recommendations for federal...
RETHINK: Planning and Designing for K-12 Next Generation Learning
This toolkit from Next Generation Learning Challenges (NGLC) and the International Association for K-12 Online Learning (iNACOL) is for K-12 district, charter, and school leaders to use in the very early stages of conceptualizing and designing a...
The iNACOL State Policy Frameworks: 5 Critical Issues to Transform K-12 Education
Over the last decade, the American education system has seen unprecedented transformation of teaching and learning as educators have grasped the power of new learning models to close achievement gaps and extend access to high-quality learning...