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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 3: Practical Solutions for the Diagnosis of Progressing Mental Models
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Citations

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14 Dimensions

Readers on

mendeley
18 Mendeley
citeulike
2 CiteULike
Summary Dimensions citations
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Chapter title
Practical Solutions for the Diagnosis of Progressing Mental Models
Chapter number 3
Book title
Understanding Models for Learning and Instruction
Published by
Springer Nature, January 2008
DOI 10.1007/978-0-387-76898-4_3
Book ISBNs
978-0-387-76897-7, 978-0-387-76898-4
Authors

Ifenthaler, Dirk, Dirk Ifenthaler

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Student > Master 3 17%
Student > Doctoral Student 2 11%
Professor > Associate Professor 2 11%
Other 1 6%
Other 4 22%
Unknown 2 11%
Readers by discipline Count As %
Social Sciences 6 33%
Psychology 3 17%
Computer Science 2 11%
Unspecified 1 6%
Economics, Econometrics and Finance 1 6%
Other 3 17%
Unknown 2 11%

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