In this episode, we dive into the paper “Scaling Evidence-Based Instructional Design Expertise through Large Language Models” by Gautam Yadav from Carnegie Mellon University. This research explores how AI, particularly GPT-4, can transform instructional design by bridging the gap between educational theory and real-world application. Through two detailed case studies, we examine AI-driven content creation, active learning strategies, and the integration of LLMs into assessment and instructional workflows.   📢 This episode is part of our ongoing season, where SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Join us as we explore the future of education in an AI-integrated world.   🔍 ShifterLabs Model: Redefining Education in the AI Era 🌍   We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences   🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology   💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼   📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education.   ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com.