How People Learn

Höfundur: Nick Shackleton-Jones (Útgáfa: 3)
How People Learn

Kaup valmöguleikar

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 offers a new paradigm for understanding how to make a difference.

Drawing on neuroscience, cognitive psychology, philosophy and first-hand experience designing learning for organizations around the world, this book 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 AI is similar and dissimilar to humans, and what that means for how we teach machines (and humans) to learn- How to create immersive, scenario-based experiences that mirror real-world challenges- How to build user-centered, performance-driven learning solutions that last- Why experience design, not content delivery, is the future of learning- How to change minds and behaviours and why rational argument is almost never the right toolHow People Learn is for psychologists, HR leaders, educators and those of us who are simply interested in understanding what makes people tick.

Nánar um bókina

Útgefandi
Kogan Page
ISBN
9781398628793
Print ISBN
9781398628786
Format
ePub
Útgáfa
3
Höfundar
Nick Shackleton-Jones
Tungumál
English
Útgefið
2026-07-03
Prent takmörkun á líftíma
100
Prent takmörkun
10
Afritunar takmörkun
10

Kaflar

  • Cover
  • Halftitlepage
  • Titlepage
  • Contents
  • List of Figures
  • List of Tables
  • About this book
  • Preface
  • 01 Cognition
  • The storytelling ape
  • ‘System 2’: imagination
  • The affective context model
  • Notes
  • 02 Learning
  • Where did we go wrong?
  • Remembering versus memorization
  • So how does the affective context model explain this?
  • Putting this into practice
  • What are you concerned about?
  • The rationalizing animal
  • What makes the affective context model the best theory we have?
  • Gamification and why people cheat
  • Notes
  • 03 Education
  • How did education get in such a muddle?
  • Education from a commercial standpoint
  • How should education work?
  • From educational institutions to learning organizations
  • Individual differences and the role of badges
  • Notes
  • 04 Language and learning
  • So how do human beings use words, and why is this important? The role of words in learning
  • Notes
  • 05 Neuroscience and learning
  • The Foundations of Science
  • Making sense of memory
  • Notes
  • 06 Learning design
  • ‘Push’ approaches to learning
  • ‘Pull’ approaches to learning (elimination)
  • Notes
  • 07 Learning elimination (performance consulting)
  • Performance consulting
  • The dangers of focusing on tasks alone
  • Notes
  • 08 Defining experiences
  • Individual differences
  • Applications of the affective context model
  • Memes or femes? From big experiences to small nudges
  • Learning design as designed experience
  • The process of experience design
  • Notes
  • 09 Human-centred learning design
  • The 5Di© learning design model
  • 1 Define
  • 2 Discover
  • 3 Design
  • 4 Develop
  • 5 Deploy
  • 6 Iterate
  • How do you evaluate learning?
  • Four approaches to learning evaluation
  • Notes
  • 10 Bringing about change
  • Step 1: Shift from courses to resources
  • Step 2: Design experiences
  • How Covid changed learning and education
  • Learning beyond PowerPoint
  • Notes
  • 11 How to change someone’s mind
  • Conformity
  • Emotion at heart
  • The world as sentiment
  • Anchoring
  • The halo effect
  • Changing your mind
  • The substitution effect
  • Cognitive dissonance
  • Behaviourism requires affective states
  • Episodic vs semantic memory
  • Notes
  • 12 Ethics, AI, the future
  • AI
  • What was the beginning?
  • AI in learning
  • What does this mean for my career?
  • Hyperstimuli
  • Technology as a tool
  • The End
  • Notes
  • Conclusion
  • Index
  • Copyright