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Jacqueline Leonard

Kirjat ja teokset yhdessä paikassa: 4 kirjaa, julkaisuja vuosilta 2018-2021, suosituimpien joukossa Fostering Computational Thinking Among Underrepresented Students in STEM. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

4 kirjaa

Kirjojen julkaisuhaarukka 2018-2021.

Fostering Computational Thinking Among Underrepresented Students in STEM

Fostering Computational Thinking Among Underrepresented Students in STEM

Jacqueline Leonard; Jakita Thomas; Roni Ellington; Monica Mitchell; Olatokunbo Fashola

Routledge
2021
nidottu
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.
Fostering Computational Thinking Among Underrepresented Students in STEM

Fostering Computational Thinking Among Underrepresented Students in STEM

Jacqueline Leonard; Jakita Thomas; Roni Ellington; Monica Mitchell; Olatokunbo Fashola

Routledge
2021
sidottu
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.
Culturally Specific Pedagogy in the Mathematics Classroom
Advocating for the use of culturally specific pedagogy to enhance the mathematics instruction of diverse students, this revised second edition offers a wide variety of conceptual and curricular resources for teaching mathematics in a way that combats and confronts the forms of oppression that students face today. Addressing stratification based on race, class, and gender, Leonard offers lesson templates that teachers can use with ethnically and culturally diverse students and makes the link between research and practice. Connecting cutting-edge and emerging technologies to culturally specific pedagogy, the second edition features new chapters on mathematics and social justice, robotics, and spatial visualization. Applying a more expansive focus, the new edition discusses current movements such as Black Lives Matter and incorporates examples of rural and tribal students to paint a broader picture of what culturally rich mathematics classrooms actually look like. The text builds on sociocultural theory and research on culture and mathematics cognition to extend the literature and better understand minority students’ goals and learning needs. Including new discussion questions and new examples, lessons, and vignettes of integrating culture in the mathematics classroom, this book employs pedagogical research to field-test new instructional methods for culturally diverse and female students.Chapter 8 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Culturally Specific Pedagogy in the Mathematics Classroom
Advocating for the use of culturally specific pedagogy to enhance the mathematics instruction of diverse students, this revised second edition offers a wide variety of conceptual and curricular resources for teaching mathematics in a way that combats and confronts the forms of oppression that students face today. Addressing stratification based on race, class, and gender, Leonard offers lesson templates that teachers can use with ethnically and culturally diverse students and makes the link between research and practice. Connecting cutting-edge and emerging technologies to culturally specific pedagogy, the second edition features new chapters on mathematics and social justice, robotics, and spatial visualization. Applying a more expansive focus, the new edition discusses current movements such as Black Lives Matter and incorporates examples of rural and tribal students to paint a broader picture of what culturally rich mathematics classrooms actually look like. The text builds on sociocultural theory and research on culture and mathematics cognition to extend the literature and better understand minority students’ goals and learning needs. Including new discussion questions and new examples, lessons, and vignettes of integrating culture in the mathematics classroom, this book employs pedagogical research to field-test new instructional methods for culturally diverse and female students.Chapter 8 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.