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New Directions for Computing Education

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Cover of 'New Directions for Computing Education'

Table of Contents

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    Book Overview
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    Chapter 1 Re-envisioning Computing Across Disciplines
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    Chapter 2 Good (and Bad) Reasons to Teach All Students Computer Science
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    Chapter 3 Approaching Computer Science Education Through Making
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    Chapter 4 Computer Science and the Liberal Arts: Hidden Synergies and Boundless Opportunities
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    Chapter 5 Task-Driven Programming Pedagogy in the Digital Humanities
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    Chapter 6 Macroanalysis in the Arts and Sciences
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    Chapter 7 An Unnamed Intersection: Where Computing Meets Liberal Arts
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    Chapter 8 Adapting the Studio Based Learning Methodology to Computer Science Education
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    Chapter 9 The Curricular Soundtrack: Designing Interdisciplinary Music Technology Degrees Through Cognitive Apprenticeship and Situated Learning
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    Chapter 10 An Interdisciplinary Model for Liberal Arts Computing Curricula
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    Chapter 11 The Development of a B.A. in Computer Science and Computational Thinking
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    Chapter 12 Disciplinary Thinking, Computational Doing: Collaborating for Mutual Enrichment
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    Chapter 13 A Capstone Experience in Information Technology
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    Chapter 14 Trial by a Many-Colored Flame: A Multi-disciplinary, Community-Centric Approach to Digital Media and Computing Education
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    Chapter 15 A GitHub Garage for a Digital Humanities Course
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    Chapter 16 Educators as Clinicians: Small Data for Education Research
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    Chapter 17 Common Threads: Directions for Computing Education
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Title
New Directions for Computing Education
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-54226-3
ISBNs
978-3-31-954226-3, 978-3-31-954225-6
Editors

Samuel B. Fee, Amanda M. Holland-Minkley, Thomas E. Lombardi

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 17%
Student > Ph. D. Student 4 13%
Student > Bachelor 3 10%
Student > Postgraduate 2 7%
Student > Master 2 7%
Other 3 10%
Unknown 11 37%
Readers by discipline Count As %
Arts and Humanities 5 17%
Computer Science 4 13%
Social Sciences 3 10%
Engineering 2 7%
Mathematics 1 3%
Other 4 13%
Unknown 11 37%