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Computational Thinking in the STEM Disciplines

Overview of attention for book
Computational Thinking in the STEM Disciplines
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Strategies for Developing Computational Thinking
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    Chapter 2 Characteristics of Studies Conducted on Computational Thinking: A Content Analysis
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    Chapter 3 Microworlds, Objects First, Computational Thinking and Programming
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    Chapter 4 Toward a Phenomenology of Computational Thinking in STEM Education
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    Chapter 5 Strictly Objects First: A Multipurpose Course on Computational Thinking
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    Chapter 6 Introducing Computational Thinking Through Spreadsheets
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    Chapter 7 Preparing Pre-service Teachers to Promote Computational Thinking in School Classrooms
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    Chapter 8 Computational Thinking in K-12: In-service Teacher Perceptions of Computational Thinking
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    Chapter 9 A Computational Thinking Curriculum and Teacher Professional Development in South Korea
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    Chapter 10 Exploring the Scope and the Conceptualization of Computational Thinking at the K-12 Classroom Level Curriculum
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    Chapter 11 Introducing Coding and Computational Thinking in the Schools: The TACCLE 3 – Coding Project Experience
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    Chapter 12 Case Studies of Elementary Children’s Engagement in Computational Thinking Through Scratch Programming
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    Chapter 13 Integrating Computational Thinking in School Curriculum
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    Chapter 14 Susceptibility to Learn Computational Thinking Against STEM Attitudes and Aptitudes
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    Chapter 15 Mapping Computational Thinking for a Transformative Pedagogy
Attention for Chapter 15: Mapping Computational Thinking for a Transformative Pedagogy
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Citations

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35 Mendeley
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Chapter title
Mapping Computational Thinking for a Transformative Pedagogy
Chapter number 15
Book title
Computational Thinking in the STEM Disciplines
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-93566-9_15
Book ISBNs
978-3-31-993565-2, 978-3-31-993566-9
Authors

Michael Vallance, Phillip A. Towndrow, Vallance, Michael, Towndrow, Phillip A.

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 9 26%
Professor 3 9%
Student > Doctoral Student 3 9%
Student > Master 3 9%
Student > Postgraduate 2 6%
Other 4 11%
Unknown 11 31%
Readers by discipline Count As %
Computer Science 6 17%
Social Sciences 5 14%
Arts and Humanities 3 9%
Engineering 3 9%
Mathematics 2 6%
Other 3 9%
Unknown 13 37%