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Fostering Computational Thinking Among Underrepresented Students in STEM: Strategies for Supporting Racially Equitable Computing.
・ISBN 978-0-367-45651-1 paper GB£ 43.99
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| 著者・編者 | Leonard, Jacqueline / Thomas, Jakita / Ellington, Roni / Mitchell, Monica / Fashola, Olatokunbo, |
|---|---|
| 出版社 | (Routledge, UK) |
| 出版年月 | 2021 |
| ページ数 | 202 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-59083＞ |
解説
This book broadly educates preservice teachers and scholars about current research on computational thinking (CT). More specifically, attention is given to computational algorithmic thinking (CAT), particularly among underrepresented K-12 student groups in STEM education.
Computational algorithmic thinking (CAT)-a precursor to CT-is explored in this text as the ability to design, implement, and evaluate the application of algorithms to solve a variety of problems. Drawing on observations from research studies that focused on innovative STEM programs, including underrepresented students in rural, suburban, and urban contexts, the authors reflect on project-based learning experiences, pedagogy, and evaluation that are conducive to developing advanced computational thinking, specifically among diverse student populations.
This practical text includes vignettes and visual examples to illustrate how coding, computer modeling, robotics, and drones may be used to promote CT and CAT among students in diverse classrooms.