Designing Learning for Human + AI Teams

What does learning look like when humans and intelligent systems work side by side? In this groundbreaking manual, instructional designer and learning strategist Joshua Sutton explores how artificial intelligence is reshaping the practice of learning design itself. Moving beyond content creation, Sutton positions the modern designer as an architect of capability: someone who maps human expertise, integrates intelligent tools, and builds adaptive systems that learn as work unfolds. Drawing from cognitive psychology, systems thinking, and realistic L&D case studies, Designing Learning for Human + AI Teams provides both theory and practical models for the future of capability development. Each chapter combines conceptual clarity with detailed frameworks, toolkits, and reflection exercises to help readers design meaningful, data-informed learning ecosystems. Through the MAIM Framework(TM) (Map, Augment, Integrate, Measure), readers learn how to: - Map evolving human and machine capabilities within the workflow- Design AI-augmented learning experiences that extend human judgment and creativity- Integrate learning directly into systems, tools, and processes- Measure impact through adaptive analytics and behavioral outcomes- Lead ethically and intentionally in an AI-driven learning culture >Whether you are reimagining training strategy, modernizing corporate learning, or exploring how AI can support human performance, this book offers a comprehensive blueprint for building intelligent learning ecosystems that grow with the people they serve. Designing Learning for Human + AI Teams is an essential text for: - Instructional Designers- Learning & Development Leaders- Educators- Organizational Strategists- eLearning Professionals- AI and Human Capability Practitioners