Muutke küpsiste eelistusi

Fostering Computational Thinking Among Underrepresented Students in STEM: Strategies for Supporting Racially Equitable Computing [Pehme köide]

3.00/5 (1 hinnangut Goodreads-ist)
(University of Wyoming, USA), (MERA, Washington, D.C., USA), (Morgan State University, USA), (Auburn University, USA), (American University, USA)
  • Formaat: Paperback / softback, 202 pages, kõrgus x laius: 229x152 mm, kaal: 453 g, 39 Tables, black and white; 9 Line drawings, black and white; 24 Halftones, black and white; 33 Illustrations, black and white
  • Ilmumisaeg: 12-Aug-2021
  • Kirjastus: Routledge
  • ISBN-10: 0367456516
  • ISBN-13: 9780367456511
Teised raamatud teemal:
Fostering Computational Thinking Among Underrepresented Students in STEM: Strategies for Supporting Racially Equitable ComputingSuurem pilt
  • Formaat: Paperback / softback, 202 pages, kõrgus x laius: 229x152 mm, kaal: 453 g, 39 Tables, black and white; 9 Line drawings, black and white; 24 Halftones, black and white; 33 Illustrations, black and white
  • Ilmumisaeg: 12-Aug-2021
  • Kirjastus: Routledge
  • ISBN-10: 0367456516
  • ISBN-13: 9780367456511
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780367456511.html
Märksõnad:
"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 groupsin 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 diverseclassrooms"--

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.

List of Figures
xi
List of Tables
xiii
Foreword: Toward Racially Equitable Computing Education xv
Acknowledgments xxi
Biographical Notes xxiii
1 The Advent of Computational Thinking
1(18)
Jacqueline Leonard
Jakita O. Thomas
Theoretical Framework
3(1)
The Emergence of Computational Thinking in Education
4(1)
Defining Computational Thinking
5(1)
Promoting Computational Thinking Among Elementary School Students
6(3)
Computational Thinking: Language, Gender, and Race/Ethnicity
9(2)
Computational Thinking among Urban Students
11(2)
Summary
13(2)
References
15(4)
2 Designing Learning Environments that Support Developing Computational Algorithmic Thinking Capabilities
19(24)
Jakita O. Thomas
Perspectives and Theoretical Framework
21(4)
Supporting Computational Algorithmic Thinking
25(2)
Methods
27(2)
Results
29(10)
Discussion
39(1)
Summary
39(1)
References
40(3)
3 Coding, Game Design, and Computational Thinking
43(20)
Jacqueline Leonard
Educational Use of Gaming
44(3)
The uGame-iCompute Study
47(1)
Method
48(2)
Results
50(8)
Discussion
58(2)
Summary
60(1)
References
60(3)
4 Using Computer Modeling and Drones to Develop Computational Thinking Among Predominantly Black Students
63(23)
Jacqueline Leonard
Background of the Study
65(3)
Theoretical Framework
68(1)
The Bessie Coleman Project
69(1)
Methods
69(2)
Results
71(10)
Discussion
81(1)
Summary
82(1)
References
83(3)
5 Facilitating Computational Participation, Place-Based Education, and Culturally Specific Pedagogy with Indigenous Students
86(24)
Jacqueline Leonard
Inclusion and STEM
87(1)
Positioning Indigenous Students as Able Computer Science Learners
88(2)
Theoretical Framework and Guiding Principles
90(3)
The Indigenous Ecological Knowledge STEM Summer Camp
93(1)
Methods
93(2)
Results
95(10)
Discussion
105(1)
Summary
106(1)
References
107(3)
6 Professional Development that Fosters Computational Thinking and High-Quality Teaching for Students of Color
110(28)
Roni Ellington
Jacqueline Leonard
Computational Thinking, Participation, and Dispositions in Professional Development
112(3)
Culturally Responsive Equity-Based Professional Development
115(1)
Teachers' Identity, Background, and Characteristics in Professional Development
116(1)
Teacher Efficacy and Beliefs
117(1)
The Bessie Coleman Project
118(1)
Methods
119(1)
Results
120(10)
Discussion
130(2)
Summary
132(1)
References
133(5)
7 Program Evaluation of Broadening STEM Participation for Underrepresented Students of Color
138(31)
Monica B. Mitchell
Olatokunho S. Fashola
Evaluation and Broadening STEM Participation
140(2)
Culturally Responsive Evaluation
142(4)
Race, Ethnicity, and Data Collection
146(2)
Using Robotics and Game Design in Informal Settings to Foster Computational Thinking
148(3)
Theoretical Framing
151(1)
Methods
151(3)
Results
154(6)
Limitations of the Evaluation
160(1)
Discussion
161(1)
Summary
162(1)
References
163(6)
Appendix A Computational Thinking Rubric 169(2)
Appendix B Abbreviated BCP Computer Programming Self-Efficacy, Computational Thinking, and Expectancy Value Survey 171(2)
Appendix C BCP Student Interview Protocol 173(1)
Appendix D BCP Module: Artifacts in Space (Grades 3--5) 174(14)
Appendix E IEK STEM Summer Camp List of Activities, June 24--28, 2019 188(2)
Appendix F BCP Teacher Interview Protocol 190(2)
Index 192
Jacqueline Leonard is Professor of Mathematics Education in the School of Education at the University of Wyoming, USA.

Jakita O. Thomas is the Philpott Westpoint Stevens Associate Professor of Computer Science and Software Engineering at Auburn University, USA.

Roni Ellington is Associate Professor of Mathematics Education in the Department of Advanced Studies Leadership and Policy at Morgan State University, USA.

Monica B. Mitchell is founder and President of MERAssociates, LLC (MERA), an award-winning evaluation consultancy based in the greater metropolitan area of Washington, D.C., USA.

Olatokunbo S. Fashola is Research Professor and the Faculty Coordinator for the Dual Enrollment Program in the School of Education at American University in Washington, D.C., USA.