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Handbook of Research on Equity in Computer Science in P-16 Education (Hardcover)
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Handbook of Research on Equity in Computer Science in P-16 Education (Hardcover)
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The growing trend for high-quality computer science in school
curricula has drawn recent attention in classrooms. With an
increasingly information-based and global society, computer science
education coupled with computational thinking has become an
integral part of an experience for all students, given that these
foundational concepts and skills intersect cross-disciplinarily
with a set of mental competencies that are relevant in their daily
lives and work. While many agree that these concepts should be
taught in schools, there are systematic inequities that exist to
prevent students from accessing related computer science skills.
The Handbook of Research on Equity in Computer Science in P-16
Education is a comprehensive reference book that highlights
relevant issues, perspectives, and challenges in P-16 environments
that relate to the inequities that students face in accessing
computer science or computational thinking and examines methods for
challenging these inequities in hopes of allowing all students
equal opportunities for learning these skills. Additionally, it
explores the challenges and policies that are created to limit
access and thus reinforce systems of power and privilege. The
chapters highlight issues, perspectives, and challenges faced in
P-16 environments that include gender and racial imbalances,
population of growing computer science teachers who are
predominantly white and male, teacher preparation or lack of
faculty expertise, professional development programs, and more. It
is intended for teacher educators, K-12 teachers, high school
counselors, college faculty in the computer science department,
school administrators, curriculum and instructional designers,
directors of teaching and learning centers, policymakers,
researchers, and students.
General
Imprint: |
Business Science Reference
|
Country of origin: |
United States |
Release date: |
November 2020 |
First published: |
2021 |
Editors: |
Jared Keengwe
• Yune Tran
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Dimensions: |
279 x 216 x 22mm (L x W x T) |
Format: |
Hardcover - Cloth over boards
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Pages: |
354 |
ISBN-13: |
978-1-79984-739-7 |
Categories: |
Books >
Computing & IT >
General theory of computing >
General
|
LSN: |
1-79984-739-X |
Barcode: |
9781799847397 |
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