The education system is constantly growing and developing as more ways to teach and learn are implemented into the classroom. Recently, there has been a growing interest in teaching computational thinking with schools all over the world introducing it to the curriculum due to its ability to allow students to become proficient at problem solving using logic, an essential life skill. In order to provide the best education possible, it is imperative that computational thinking strategies, along with programming skills and the use of robotics in the classroom, be implemented in order for students to achieve maximum thought processing skills and computer competencies. The Research Anthology on Computational Thinking, Programming, and Robotics in the Classroom is an all-encompassing reference book that discusses how computational thinking, programming, and robotics can be used in education as well as the benefits and difficulties of implementing these elements into the classroom. The book includes strategies for preparing educators to teach computational thinking in the classroom as well as design techniques for incorporating these practices into various levels of school curriculum and within a variety of subjects. Covering topics ranging from decomposition to robot learning, this book is ideal for educators, computer scientists, administrators, academicians, students, and anyone interested in learning more about how computational thinking, programming, and robotics can change the current education system.
Parallel to the growth of computer usage in society is the growth of programming instruction in schools. This informative volume unites a wide range of perspectives on the study of novice programmers that will not only inform readers of empirical findings, but will also provide insights into how novices reason and solve problems within complex domains. The large variety of methodologies found in these studies helps to improve programming instruction and makes this an invaluable reference for researchers planning studies of their own. Topics discussed include historical perspectives, transfer, learning, bugs, and programming environments.
This book provides an overview of how to approach computer science education research from a pragmatic perspective. It represents the diversity of traditions and approaches inherent in this interdisciplinary area, while also providing a structure within which to make sense of that diversity. It provides multiple 'entry points'- to literature, to methods, to topics Part One, 'The Field and the Endeavor', frames the nature and conduct of research in computer science education. Part Two, 'Perspectives and Approaches', provides a number of grounded chapters on particular topics or themes, written by experts in each domain. These chapters cover the following topics: * design * novice misconceptions * programming environments for novices * algorithm visualisation * a schema theory view on learning to program * critical theory as a theoretical approach to computer science education research Juxtaposed and taken together, these chapters indicate just how varied the perspectives and research approaches can be. These chapters, too, act as entry points, with illustrations drawn from published work.
Global interest in indigenous studies has been rapidly growing as researchers realize the importance of understanding the impact indigenous communities can have on the economy, development, education, and more. As the use, acceptance, and popularity of indigenous knowledge increases, it is crucial to explore how this community-based knowledge provides deeper insights, understanding, and influence on such things as decision making and problem solving. Indigenous Studies: Breakthroughs in Research and Practice examines the politics, culture, language, history, socio-economic development, methodologies, and contemporary experiences of indigenous peoples from around the world, as well as how contemporary issues impact these indigenous communities on a local, national, and global scale. Highlighting a range of topics such as local narratives, intergenerational cultural transfer, and ethnicity and identity, this publication is an ideal reference source for sociologists, policymakers, anthropologists, instructors, researchers, academicians, and graduate-level students in a variety of fields.
The influx of computer technology into classrooms during the past decade raises the questions -- how can we teach children to use computers productively and what effect will learning to program computers have on them? During this same period, researchers have investigated novice learning of computer programming. Teaching and Learning Computer Programming unites papers and perspectives by respected researchers of teaching and learning computer science while it summarizes and integrates major theoretical and empirical contributions. It gives a current and concise account of how instructional techniques affect student learning and how learning of programming affects students' cognitive skills. This collection is an ideal supplementary text for students and a valuable reference for professionals and researchers of education, technology and psychology, computer science, communication, developmental psychology, and industrial organization.
In this book, the author presents a new vision of learning through design and production, and describes computer programming as a source of a learning and design power. As means of studying this extended notion of children's programming, the author implemented Instructional Software Design Projects to explore the learning that takes place when students develop complete mathematical software products designed for other students in their school. The results demonstrate that the young designers learned not only about mathematics (fractions) and programming (Logo), but also about design and user interfaces, as well as representational, pedagogical, and communicational issues.