Ivy (Interactive Videos) is an intelligent AI coach developed by AI-ALOE at Georgia Tech. Designed for adult learners looking to re-skill or up-skill, Ivy transforms traditional online videos into interactive learning experiences that support active learning and learning by doing. In this short overview, you’ll learn:
• What Ivy is and how it works
• How interactive AI video coaching supports deeper problem-solving
• How Ivy combines structured knowledge models with generative AI
• How Ivy is being deployed to support full courses and adult learners
Why Ivy matters: Most online video courses leave learners on their own when confusion strikes. Ivy changes that by allowing learners to ask “how” and “why” questions directly within a video lesson. Using a structured Task Method Knowledge (TMK) model alongside large language models, Ivy generates explanations that reveal the logic, causal relationships, and reasoning behind procedural skills—not just surface-level answers. Ivy supports step-by-step problem solving, embedded interactive exercises, real-time feedback, and continuity across lessons. When questions fall outside Ivy’s scope, they are seamlessly forwarded to Jill Watson, ensuring learners always receive support. Together, these capabilities help learners move beyond memorization toward true procedural understanding.
Featured in this video:
• Rahul Dass, Research Scientist II & Team Lead – Ivy’s vision and learning transformation
• Arpit Khandelwal, Developer & Master’s Student – Ivy’s knowledge base, TMK model, and reasoning pipeline
• Jeanette Luu, Scientist & Former IVY Team Member – Ivy’s foundations, interactive design, and learner impact
