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Computational Thinking in the STEM Disciplines

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Cover of 'Computational Thinking in the STEM Disciplines'

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 10: Exploring the Scope and the Conceptualization of Computational Thinking at the K-12 Classroom Level Curriculum
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Citations

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Summary Dimensions citations
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Chapter title
Exploring the Scope and the Conceptualization of Computational Thinking at the K-12 Classroom Level Curriculum
Chapter number 10
Book title
Computational Thinking in the STEM Disciplines
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-93566-9_10
Book ISBNs
978-3-31-993565-2, 978-3-31-993566-9
Authors

Georgios Fessakis, Vasilis Komis, Elisavet Mavroudi, Stavroula Prantsoudi

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 17%
Student > Master 7 13%
Lecturer 6 11%
Student > Bachelor 3 6%
Professor 2 4%
Other 7 13%
Unknown 19 36%
Readers by discipline Count As %
Computer Science 10 19%
Social Sciences 6 11%
Arts and Humanities 5 9%
Agricultural and Biological Sciences 3 6%
Engineering 2 4%
Other 8 15%
Unknown 19 36%

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