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Towards a Framework for Representational Competence in Science Education

Overview of attention for book
Cover of 'Towards a Framework for Representational Competence in Science Education'

Table of Contents

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    Book Overview
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    Chapter 1 Towards a Definition of Representational Competence
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    Chapter 2 Representational Fluency: A Means for Students to Develop STEM Literacy
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    Chapter 3 Similar Information, Different Representations: Designing a Learning Environment for Promoting Transformational Competence
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    Chapter 4 Agreeing to Disagree: Students Negotiating Visual Ambiguity Through Scientific Argumentation
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    Chapter 5 A Learning Performance Perspective on Representational Competence in Elementary Science Education
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    Chapter 6 Supporting Representational Competences Through Adaptive Educational Technologies
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    Chapter 7 Instructional Representations as Tools to Teach Systems Thinking
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    Chapter 8 Leveraging on Assessment of Representational Competence to Improve Instruction with External Representations
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    Chapter 9 Improving Students’ Representational Competence through a Course-Based Undergraduate Research Experience
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    Chapter 10 Using Gesture Analysis to Assess Students’ Developing Representational Competence
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    Chapter 11 Assessing Representational Competence with Eye Tracking Technology
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    Chapter 12 The Use of a Representational Triplet Model as the Basis for the Evaluation of Students’ Representational Competence
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    Chapter 13 Representational Competence in Science Education: From Theory to Assessment
Overall attention for this book and its chapters
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Mentioned by

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3 tweeters
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1 Google+ user

Citations

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3 Dimensions

Readers on

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29 Mendeley
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Title
Towards a Framework for Representational Competence in Science Education
Published by
Springer International Publishing, June 2018
DOI 10.1007/978-3-319-89945-9
ISBNs
978-3-31-989943-5, 978-3-31-989945-9
Editors

Daniel, Kristy L.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 28%
Student > Master 4 14%
Professor > Associate Professor 3 10%
Student > Bachelor 2 7%
Researcher 2 7%
Other 6 21%
Unknown 4 14%
Readers by discipline Count As %
Social Sciences 11 38%
Engineering 4 14%
Biochemistry, Genetics and Molecular Biology 3 10%
Chemistry 2 7%
Physics and Astronomy 1 3%
Other 4 14%
Unknown 4 14%