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Schemas in Problem Solving

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Overview

Schemas in Problem Solving introduces a new approach to the study of learning, instruction, and assessment. Focusing on the area of arithmetic story problems, Marshall shows how instruction can lead to more meaningful learning by emphasizing the ways students acquire and store knowledge in memory. She identifies major knowledge structures called schemas, describes instruction designed around theses structures, and assesses the strengths and weaknesses in the knowledge that the students demonstrate following instruction. To evaluate the success of her approach, Marshall describes traditional experiments and computer simulations of student performance.
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Editorial Reviews

From the Publisher
"...a solid and interesting book..." Wayne D. Gray, Contemporary Psychology

"Cognitive scientists, philosophers, psychologists, and educators will find this book to be fascinating reading." Jenny A. Piazza, Teaching Children Mathematics

"...this book presents several methodological approaches which should prove invaluable to anyone attempting to apply variations on this schema theory to their domain." John Begoray, Journal of Educational thought

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Product Details

  • ISBN-13: 9780521043694
  • Publisher: Cambridge University Press
  • Publication date: 11/22/2007
  • Pages: 440
  • Product dimensions: 5.98 (w) x 8.98 (h) x 0.91 (d)

Table of Contents

Preface
Acknowledgments
I Fundamentals 1
1 Schema roots 3
2 The nature of a schema 37
3 The schemas of arithmetic story problems 62
II Schemas and instruction 111
4 Theoretical issues for instruction 113
5 The Story Problem Solver and The Problem Solving Environment: Two examples of schema-based instruction 128
III Learning from instruction 169
6 Learning and schema theory 171
7 Learning from schema-based instruction 184
8 The acquisition of planning knowledge 215
9 The diagram: Marker and template 236
IV Schemas and assessment 265
10 Schema-based assessment 267
11 Assessment in SPS and PSE 290
V Schema models 315
12 Production systems, neural networks, and hybrid models 317
13 The performance model 340
14 The learning model 362
15 The full schema model 377
16 Some concluding remarks on schema theory 391
Notes 399
References 406
Name index 417
Subject index 420
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