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New Directions for Computing Education

Overview of attention for book
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
Attention for Chapter 11: The Development of a B.A. in Computer Science and Computational Thinking
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Chapter title
The Development of a B.A. in Computer Science and Computational Thinking
Chapter number 11
Book title
New Directions for Computing Education
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-54226-3_11
Book ISBNs
978-3-31-954225-6, 978-3-31-954226-3

Kathie A. Yerion, Robert L. Bryant, Shawn Bowers


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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 31%
Lecturer 3 23%
Student > Doctoral Student 2 15%
Student > Bachelor 1 8%
Professor 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 3 23%
Social Sciences 3 23%
Psychology 2 15%
Arts and Humanities 1 8%
Agricultural and Biological Sciences 1 8%
Other 2 15%
Unknown 1 8%