In recent years, diversity in learning environments has become a pivotal topic of conversation for educators. By enhancing underrepresented students' computational thinking skills, it creates more room for future career opportunities. Moving Students of Color from Consumers to Producers of Technology is a comprehensive reference source that provides innovative perspectives on the need for diversity in computer science and engineering disciplines and examines best practices to build upon students' knowledge bases. Featuring coverage on an expansive number of topics and perspectives, such as, computational algorithmic thinking, STEM diversity, and distributed mentorship, this publication is ideally designed for academicians, researchers, and students interested in efforts to broaden participation in computer science careers fields for underrepresented students.

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.

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.