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Learning Experience Design
How to Build Effective Learning in the age of AI
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About the book
Design AI-powered learning experiences that drive engagement, performance and measurable business impact.
Learning Experience Design by Donald Clark is a strategic guide for senior learning professionals who need to modernize learning in an AI-driven world. As organizations adopt generative technologies, this book shows how to move beyond outdated course-led models and build adaptive, human-centred learning ecosystems.
Focusing on the evolving role of the learning designer, this updated edition combines learning science, data insight and AI capability to help you design scalable, personalized and effective learning strategies. Drawing on research and real-world examples, it addresses the critical challenges of engagement, ethics and skills sustainability.
You will learn how to:
-Design AI-enabled learning experiences that adapt to learner needs
- Use data, context and performance signals to personalize learning
- Integrate simulations, games and workflow learning effectively
- Employ ethical AI use and support sustainable skills development
- Lead AI learning projects and embed learning into daily work
This book equips you to lead the transformation of learning, delivering smarter, scalable and more impactful outcomes across your organization.
Themes include: learning experience design, AI in learning, adaptive learning, workplace learning, learning strategy, performance support
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Table of contents
- Section - One: The Future of Learning Experience Design
- Chapter - 1: Learning Experience Design and AI
- Chapter - 2: Learner Agency, AI Augmentation and Active Learning at Scale
- Chapter - 3: Skills Atrophy and “Lazy Learning”
- Section - Two: Generative Media, AI and Learning Design
- Chapter - 4: Generative Text and Images for Learning
- Chapter - 5: Audio, Speech and Language AI in Learning
- Chapter - 6: AI-Generated Video, Avatars and Immersive Media
- Section - Three: Personalised, Experiential and Performance-Focused Learning
- Chapter - 7: Personalised Learning Experience Design
- Chapter - 8: Games, Scenarios and Simulations
- Chapter - 9: Workflow Learning and AI-Enabled Performance Support
- Chapter - 10: Assessment, Feedback and Evaluation
- Section - Four: Deploying and Managing AI-Driven Learning
- Chapter - 11: Data Strategy and Ethics
- Chapter - 12: Managing AI Learning Projects
- Chapter - 13: Conclusion: A Call to Action
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