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Understanding Models for Learning and Instruction

Overview of attention for book
Cover of 'Understanding Models for Learning and Instruction'

Table of Contents

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    Book Overview
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    Chapter 1 The Fragmented Nature of Learning and Instruction
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    Chapter 2 Using an Evidence-Based Approach to Assess Mental Models
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    Chapter 3 Practical Solutions for the Diagnosis of Progressing Mental Models
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    Chapter 4 Constructing Mental Models during Learning from Science Text
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    Chapter 5 Progress in the Diagnostics of Mental Models
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    Chapter 6 Rendezvous with a Quantum of Learning
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    Chapter 7 Externalizing Mental Models with Mindtools
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    Chapter 8 Model-Centered Instruction, the Design and the Designer
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    Chapter 9 Realizing Model-Based Instruction
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    Chapter 10 Developments in the Design of Instruction
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    Chapter 11 Bridging a Gap between Psychology and Instructional Practice
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    Chapter 12 Model-Based Learning Environments
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    Chapter 13 Model-Centered Learning and Instructional Design
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    Chapter 14 From Cognitive Theory to Instructional Practice: Technology and the Evolution of Anchored Instruction
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    Chapter 15 Complex Skills Development for Today's Workforce
Attention for Chapter 12: Model-Based Learning Environments
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Citations

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14 Dimensions

Readers on

mendeley
6 Mendeley
Summary Dimensions citations
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Chapter title
Model-Based Learning Environments
Chapter number 12
Book title
Understanding Models for Learning and Instruction
Published by
Springer, Boston, MA, January 2008
DOI 10.1007/978-0-387-76898-4_12
Book ISBNs
978-0-387-76897-7, 978-0-387-76898-4
Authors

Gerhard Weber, Weber, Gerhard

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Lecturer > Senior Lecturer 1 17%
Student > Ph. D. Student 1 17%
Unknown 2 33%
Readers by discipline Count As %
Computer Science 4 67%
Unknown 2 33%

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