What is included with this book?
Ruth Colvin Clark, Ed.D., a recognized specialist in instructional design and technical training, is the founder of CLARK Training & Consulting. Dr. Clark is a past president of the International Society for Performance Improvement (ISPI), a recipient of the Thomas Gilbert Award for Professional Achievement, and author of six books on instruction and learning including the best-selling e-Learning and the Science of Instruction coauthored with Dr. Richard Mayer.
Introduction to the Third Edition: Getting the Most from This Resource | p. xv |
Foundations of Building Expertise | p. 3 |
Expertise in the Global Economy | p. 5 |
The Value of Expertise | p. 5 |
What Is an Expert? | p. 7 |
Seven Lessons Learned About Experts | p. 9 |
Four Ingredients of Instruction | p. 17 |
Which Media Are Best for Learning? | p. 18 |
Four Components of Learning | p. 19 |
Three Views of Learning | p. 21 |
Four Instructional Architectures | p. 23 |
No Yellow Brick Road | p. 33 |
Instructional Components and Learning: No Yellow Brick Road | p. 33 |
Graphics and Learning: A Journey Down the Yellow Brick Road | p. 34 |
Factors That Influence Learning | p. 40 |
Toward an Evidence-Based Training Profession | p. 42 |
About the Numbers | p. 43 |
The Psychology of Building Expertise | p. 49 |
Two Memories for Learning | p. 49 |
The Transformation of Content into Knowledge and Skills | p. 54 |
Eight Principles for Instruction | p. 60 |
Basic Learning Events Proven to Build Expertise | p. 65 |
How Working Memory Works | p. 67 |
Working Memory: The Center of Learning | p. 68 |
New Content Has a Short Shelf Life in Working Memory | p. 69 |
Chess, Chunking, and Capacity Limits of Working Memory | p. 71 |
What Happens When Working Memory is Overloaded? | p. 75 |
Automaticity: A Working Memory Bypass | p. 77 |
Visual and Auditory Components in Working Memory | p. 79 |
Why Is Working Memory So Limited? | p. 80 |
Working Memory and Performance | p. 81 |
Managing Cognitive Load | p. 85 |
The Cognitive Load Management Principle | p. 86 |
Methods That Bypass Working Memory | p. 89 |
Methods That Minimize Content | p. 94 |
Methods to Impose Content Gradually | p. 100 |
Methods to Minimize Unproductive Mental Work | p. 102 |
Methods to Maximize Working Memory Capacity | p. 105 |
Managing Attention | p. 111 |
The High Price of Attention Failure | p. 111 |
The Attention Principle | p. 112 |
Instructional Methods to Support Attention | p. 114 |
Optimizing Attentional Capacity in the Classroom | p. 115 |
Methods to Focus Attention | p. 120 |
Methods to Support Selective Attention | p. 121 |
What Is Divided Attention? | p. 129 |
Methods to Minimize Divided Attention | p. 131 |
Leveraging Prior Knowledge | p. 139 |
The Prior Knowledge Principle | p. 140 |
Methods to Activate Prior Knowledge | p. 141 |
Methods to Compensate for Limited Prior Knowledge | p. 148 |
Avoid Activating Inappropriate Prior Knowledge | p. 155 |
When to Use Prior Knowledge Methods | p. 158 |
Helping Learners Build Mental Models: Implicit Methods | p. 163 |
The Building Mental Models Principle | p. 164 |
Explicit and Implicit Encoding Methods | p. 167 |
Implicit Methods to Build Mental Models | p. 169 |
Use Graphics to Build Mental Models | p. 169 |
Personalize Your Learning Environment | p. 177 |
Include Deep-Level Learning Agent Dialogs | p. 183 |
Provide Examples and Encourage Their Processing | p. 185 |
Provide Effective Analogies | p. 187 |
Include Process Content in Your Instruction | p. 189 |
Offer Cognitive Support for Novice Learners | p. 191 |
Helping Learners Build Mental Models: Explicit Methods | p. 197 |
Is Active Learning Better? A Tale of Six Lessons | p. 198 |
Building Mental Models Principle | p. 203 |
Explicit vs. Implicit Methods for Building Mental Models | p. 204 |
Maintenance vs. Elaborative Rehearsal | p. 205 |
Incorporate Frequent Elaborative Practice Exercises | p. 207 |
The Law of Diminishing Returns | p. 209 |
Distribute Practice Assignments | p. 212 |
Provide Explanatory Feedback | p. 214 |
Use Effective Questioning Techniques in the Classroom | p. 217 |
Promote Psychological Engagement with Graphics | p. 219 |
Promote Explicit Self-Explanations of Content | p. 220 |
Incorporate Collaborative Learning Opportunities | p. 223 |
Minimize Note-Taking in Instructor-Led Presentations | p. 226 |
Who Benefits from Practice? | p. 227 |
Learning vs. Performance: The Psychology of Transfer | p. 233 |
Transfer: The Bridge from Training to Performance | p. 234 |
Four Tales of Transfer Failure | p. 235 |
Causes of Transfer Failure | p. 238 |
The Transfer Challenge | p. 241 |
Specific Versus General Theories of Transfer | p. 241 |
The Transfer Continuum | p. 244 |
Surface Versus Deep Structure and Transfer | p. 247 |
Transfer and Intelligence | p. 248 |
Teaching for Transfer | p. 253 |
Transfer: It's All About Context | p. 253 |
Teaching for Near-Transfer Performance | p. 254 |
Learning Aids for Near-Transfer Learning | p. 257 |
Teaching for Moderate Transfer | p. 259 |
Teaching for Far-Transfer Performance | p. 262 |
Learning Aids for Guided-Discovery Simulations | p. 273 |
Promoting Adaptive Expertise and Motivation | p. 279 |
Problem-Centered Instruction | p. 281 |
The Revival of Problem-Centered Learning | p. 282 |
The Benefits of Problem-Centered Design | p. 283 |
Three Problem-Centered Design Models | p. 286 |
Problem-Based Learning (PBL) | p. 286 |
4C/ID | p. 294 |
Sherlock and Cognitive Apprenticeship | p. 298 |
Applying Problem-Centered Design | p. 299 |
Issues in Problem-Centered Instruction | p. 304 |
Reservations About Problem-Centered Instruction | p. 306 |
Metacognition, Self-Regulation, and Adaptive Expertise | p. 313 |
Cognition, Metacognition, and Adaptive Expertise | p. 314 |
Metacognition and Self-Regulation | p. 316 |
Are Learners Self-Regulated? | p. 318 |
Supporting Self-Regulation During Learning | p. 321 |
Domain-Specific Metacognitive Skills | p. 327 |
Building Domain-Specific Metacognitive Skills | p. 329 |
Motivation and Expertise | p. 337 |
Motivation for Learning | p. 337 |
What Is Motivation? | p. 339 |
External vs. Internal Views of Motivation | p. 340 |
Beliefs and Learning Choices | p. 341 |
Beliefs About Learning Outcomes and Persistence | p. 346 |
Goal Setting and Motivation | p. 347 |
Motivating Your Learners | p. 357 |
Instructional Environments That Motivate | p. 357 |
Evidence for Managing Learner Beliefs | p. 358 |
Promote Self-Confidence by Structuring for Success | p. 359 |
Encourage Mastery (Progress) Goal Orientations | p. 363 |
Exploit Personal and Situational Interest | p. 365 |
Techniques to Promote Cognitive Situational Interest | p. 366 |
Leverage Personal Interest | p. 370 |
Make Values Salient | p. 372 |
Building Expertise in Action | p. 377 |
Practical Applications in Building Expertise | p. 379 |
Adopting Evidence-Based Practice | p. 380 |
What Is an Excellent Lesson? | p. 383 |
A Receptive Presentation | p. 388 |
A Directive e-Lesson | p. 393 |
A Guided-Discovery Classroom Workshop | p. 397 |
Exploratory Architectures for Far-Transfer Learning | p. 401 |
A Final Word | p. 403 |
References | p. 405 |
Glossary | p. 431 |
Name Index | p. 469 |
Subject Index | p. 475 |
About the Author | p. 493 |
About ISPI | p. 495 |
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