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Full Description
Discover how to design learning that actually changes how people think, work and perform.
How People Learn gives mid-career learning and development professionals, educators and instructional designers the tools to create impactful, evidence-based and future-ready learning experiences.
Written by leading L&D expert Nick Shackleton-Jones, this updated third edition reveals what truly happens when people learn, and how to use that insight to design training that drives measurable performance improvement. Built around the proven 5Di model, it shows how to define, design and deploy learning that fits seamlessly into real workflows and supports learning in the flow of work.
You'll discover how to:
- Apply neuroscience and behavioral science to improve learning impact
- Use AI and data tools to enhance design and learner engagement
- Create immersive, scenario-based experiences that mirror real-world challenges
- Support hybrid learning and workforce adaptability amid changing roles
- Build user-centered, performance-driven learning solutions that last
Featuring new insights from BP and the BBC, How People Learn helps you design learning that inspires, engages and delivers real results.
Themes include: learning design, neuroscience, AI in learning, hybrid learning, performance improvement, instructional design, behavioural science
Contents
Chapter - 01: Understanding Cognition and How the Brain Learns;
Chapter - 02: Foundations of Learning Theory and Practice;
Chapter - 03: Perspectives on Education and Learning Systems;
Chapter - 04: Language, Culture, and Learning in a Connected World;
Chapter - 05: Designing Learning Experiences in the Age of AI;
Chapter - 06: Performance Consulting and Driving Business Impact;
Chapter - 07: Learning Journeys and the Moments that Truly Matter;
Chapter - 08: Human-Centred Learning Design for Global Workforces;
Chapter - 09: Neuroscience and the Science of Learning and Memory;
Chapter - 10: Leading and Managing Change in Organisations Worldwide;
Chapter - 11: Supporting People Through Change and Transformation;
Chapter - 12: Ethics, Responsibility and Trust in Learning and AI;
Chapter - 13: Artificial Intelligence and the Future of Learning
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