Dr. Jeremy Roschelle and Dr. Pati Ruiz from Digital Promise join the podcast to discuss their learning sciences research into AI's role in education. They share details about an innovative project using AI to improve student reading literacy and explore frameworks for developing AI literacy and responsible use policies in schools.

• Practitioner Toolkit from Digital Promise, provides resources for collaborative learning that are flexible, adaptable, and rooted in real teaching experience
• Challenge Map, from Digital Promise
• U-GAIN Reading, program from Digital Promise seeking to amplify new knowledge about how to use GenAI to create content that matches each student’s interests and strengths, enables dialogue about the meaning of content, and adapts to a student’s progress and needs
• AI Literacy, framework from Digital Promise to understand, evaluate, and use emerging technology
• SceneCraft, program from EngageAI Institute with AI-powered, narrative-driven learning experiences, engaging students through storytelling, creativity, and critical thinking
• As they face conflicting messages about AI, some advice for educators on how to use it responsibly, opinion blog from Jeremy Roschelle
• Teacher Ready Evaluation Tool, helps standardize the way ed tech decision-makers evaluate edtech products
• Evaluating Tech Solutions, ATLIS is an official partner with ISTE to expand the presence of independent school vendors and technology solutions in the Edtech Index
• If you are interested in engaging in research with Digital Promise, or just have a great research idea, share a message on LinkedIn: Jeremy | Pati

More Digital Promise articles:

• GenAI in Education: When to Use It, When to Skip It, and How to Decide – Digital Promise
• Hearing from Students: How Learners Experience AI in Education – Digital Promise
• Meet the Educators Helping U-GAIN Reading Explore How GenAI Can Improve Literacy – Digital Promise
• Guest Post: 3 Guiding Principles for Responsible AI in EdTech – Digital Promise