Schemas in Problem Solving

Schemas in Problem Solving

by Sandra P. Marshall
     
 

ISBN-10: 0521043697

ISBN-13: 9780521043694

Pub. Date: 11/22/2007

Publisher: Cambridge University Press

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…  See more details below

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.

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
IFundamentals1
1Schema roots3
2The nature of a schema37
3The schemas of arithmetic story problems62
IISchemas and instruction111
4Theoretical issues for instruction113
5The Story Problem Solver and The Problem Solving Environment: Two examples of schema-based instruction128
IIILearning from instruction169
6Learning and schema theory171
7Learning from schema-based instruction184
8The acquisition of planning knowledge215
9The diagram: Marker and template236
IVSchemas and assessment265
10Schema-based assessment267
11Assessment in SPS and PSE290
VSchema models315
12Production systems, neural networks, and hybrid models317
13The performance model340
14The learning model362
15The full schema model377
16Some concluding remarks on schema theory391
Notes399
References406
Name index417
Subject index420

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