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Computational Thinking

Author: Peter J. Denning

Publisher: MIT Press

Published: 2019-05-14

Total Pages: 266

ISBN-13: 0262536560

An introduction to computational thinking that traces a genealogy beginning centuries before the digital computer. A few decades into the digital era, scientists discovered that thinking in terms of computation made possible an entirely new way of organizing scientific investigation; eventually, every field had a computational branch: computational physics, computational biology, computational sociology. More recently, “computational thinking” has become part of the K–12 curriculum. But what is computational thinking? This volume in the MIT Press Essential Knowledge series offers an accessible overview, tracing a genealogy that begins centuries before digital computers and portraying computational thinking as pioneers of computing have described it. The authors explain that computational thinking (CT) is not a set of concepts for programming; it is a way of thinking that is honed through practice: the mental skills for designing computations to do jobs for us, and for explaining and interpreting the world as a complex of information processes. Mathematically trained experts (known as “computers”) who performed complex calculations as teams engaged in CT long before electronic computers. The authors identify six dimensions of today's highly developed CT—methods, machines, computing education, software engineering, computational science, and design—and cover each in a chapter. Along the way, they debunk inflated claims for CT and computation while making clear the power of CT in all its complexity and multiplicity.

Computational Thinking and Coding for Every Student

Author: Jane Krauss

Publisher: Corwin Press

Published: 2016-10-28

Total Pages: 212

ISBN-13: 1506341292

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Empower tomorrow’s tech innovators Our students are avid users and consumers of technology. Isn’t it time that they see themselves as the next technological innovators, too? Computational Thinking and Coding for Every Student is the beginner’s guide for K-12 educators who want to learn to integrate the basics of computer science into their curriculum. Readers will find Practical strategies for teaching computational thinking and the beginning steps to introduce coding at any grade level, across disciplines, and during out-of-school time Instruction-ready lessons and activities for every grade Specific guidance for designing a learning pathway for elementary, middle, or high school students Justification for making coding and computer science accessible to all A glossary with definitions of key computer science terms, a discussion guide with tips for making the most of the book, and companion website with videos, activities, and other resources Momentum for computer science education is growing as educators and parents realize how fundamental computing has become for the jobs of the future. This book is for educators who see all of their students as creative thinkers and active contributors to tomorrow’s innovations. "Kiki Prottsman and Jane Krauss have been at the forefront of the rising popularity of computer science and are experts in the issues that the field faces, such as equity and diversity. In this book, they’ve condensed years of research and practitioner experience into an easy to read narrative about what computer science is, why it is important, and how to teach it to a variety of audiences. Their ideas aren’t just good, they are research-based and have been in practice in thousands of classrooms...So to the hundreds and thousands of teachers who are considering, learning, or actively teaching computer science—this book is well worth your time." Pat Yongpradit Chief Academic Officer, Code.org

From Computing to Computational Thinking

Author: Paul S. Wang

Publisher: CRC Press

Published: 2017-07-20

Total Pages: 266

ISBN-13: 148221766X

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Computational Thinking (CT) involves fundamental concepts and reasoning, distilled from computer science and other computational sciences, which become powerful general mental tools for solving problems, increasing efficiency, reducing complexity, designing procedures, or interacting with humans and machines. An easy-to-understand guidebook, From Computing to Computational Thinking gives you the tools for understanding and using CT. It does not assume experience or knowledge of programming or of a programming language, but explains concepts and methods for CT with clarity and depth. Successful applications in diverse disciplines have shown the power of CT in problem solving. The book uses puzzles, games, and everyday examples as starting points for discussion and for connecting abstract thinking patterns to real-life situations. It provides an interesting and thought-provoking way to gain general knowledge about modern computing and the concepts and thinking processes underlying modern digital technologies.

Computational Thinking

Author: Karl Beecher

Publisher: BCS, The Chartered Institute for IT

Published: 2017-08-11

Total Pages: 306

ISBN-13: 9781780173641

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Computational thinking (CT) is a timeless, transferable skill that enables you to think more clearly and logically, as well as a way to solve specific problems. With this book you'll learn to apply computational thinking in the context of software development to give you a head start on the road to becoming an experienced and effective programmer.

Teaching Computational Thinking

Author: Maureen D. Neumann

Publisher: MIT Press

Published: 2021-12-21

Total Pages: 201

ISBN-13: 0262045052

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A guide for educators to incorporate computational thinking—a set of cognitive skills applied to problem solving—into a broad range of subjects. Computational thinking—a set of mental and cognitive tools applied to problem solving—is a fundamental skill that all of us (and not just computer scientists) draw on. Educators have found that computational thinking enhances learning across a range of subjects and reinforces students’ abilities in reading, writing, and arithmetic. This book offers a guide for incorporating computational thinking into middle school and high school classrooms, presenting a series of activities, projects, and tasks that employ a range of pedagogical practices and cross a variety of content areas. As students problem solve, communicate, persevere, work as a team, and learn from mistakes, they develop a concrete understanding of the abstract principles used in computer science to create code and other digital artifacts. The book guides students and teachers to integrate computer programming with visual art and geometry, generating abstract expressionist–style images; construct topological graphs that represent the relationships between characters in such literary works as Harry Potter and the Sorcerer’s Stone and Romeo and Juliet; apply Newtonian physics to the creation of computer games; and locate, analyze, and present empirical data relevant to social and political issues. Finally, the book lists a variety of classroom resources, including the programming languages Scratch (free to all) and Codesters (free to teachers). An accompanying website contains the executable programs used in the book’s activities.

Computational Thinking Education

Author: Siu-Cheung Kong

Publisher: Springer

Published: 2019-07-04

Total Pages: 377

ISBN-13: 9811365288

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This This book is open access under a CC BY 4.0 license.This book offers a comprehensive guide, covering every important aspect of computational thinking education. It provides an in-depth discussion of computational thinking, including the notion of perceiving computational thinking practices as ways of mapping models from the abstraction of data and process structures to natural phenomena. Further, it explores how computational thinking education is implemented in different regions, and how computational thinking is being integrated into subject learning in K-12 education. In closing, it discusses computational thinking from the perspective of STEM education, the use of video games to teach computational thinking, and how computational thinking is helping to transform the quality of the workforce in the textile and apparel industry.

Computational Thinking

Author: Paolo Ferragina

Publisher: Springer

Published: 2018-08-21

Total Pages: 174

ISBN-13: 331997940X

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This book offers a gentle motivation and introduction to computational thinking, in particular to algorithms and how they can be coded to solve significant, topical problems from domains such as finance, cryptography, Web search, and data compression. The book is suitable for undergraduate students in computer science, engineering, and applied mathematics, university students in other fields, high-school students with an interest in STEM subjects, and professionals who want an insight into algorithmic solutions and the related mindset. While the authors assume only basic mathematical knowledge, they uphold the scientific rigor that is indispensable for transforming general ideas into executable algorithms. A supporting website contains examples and Python code for implementing the algorithms in the book.

Essential Computational Thinking

Author: Ricky J. Sethi

Publisher: Cognella Academic Publishing

Published: 2020-06-17

Total Pages: 328

ISBN-13: 1516583213

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Essential Computational Thinking: Computer Science from Scratch helps students build a theoretical and practical foundation for learning computer science. Rooted in fundamental science, this text defines elementary ideas including data and information, quantifies these ideas mathematically, and, through key concepts in physics and computation, demonstrates the relationship between computer science and the universe itself. In Part I, students explore the theoretical underpinnings of computer science in a wide-ranging manner. Readers receive a robust overview of essential computational theories and programming ideas, as well as topics that examine the mathematical and physical foundations of computer science. Part 2 presents the basics of computation and underscores programming as an invaluable tool in the discipline. Students can apply their newfound knowledge and begin writing substantial programs immediately. Finally, Part 3 explores more sophisticated computational ideas, including object-oriented programing, databases, data science, and some of the underlying principles of machine learning. Essential Computational Thinking is an ideal text for a firmly technical CS0 course in computer science. It is also a valuable resource for highly-motivated non-computer science majors at the undergraduate or graduate level who are interested in learning more about the discipline for either professional or personal development.

COMPUTATIONAL THINKING

Author: Narayan Changder

Publisher: CHANGDER OUTLINE

Published: 2023-10-18

Total Pages: 276

ISBN-13:

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Embark on a cognitive journey into the world of Computational Thinking with "ThinkCode," the ultimate MCQ guide meticulously crafted for students, educators, and technology enthusiasts eager to master the fundamentals of problem-solving and algorithmic reasoning. Whether you're a beginner exploring the foundations of computing or an experienced coder looking to refine your skills, this comprehensive resource is your key to unraveling the intricacies of Computational Thinking through a question-driven approach. About the Book: Dive into the realm of problem-solving and algorithmic reasoning with our MCQ guide, featuring thoughtfully curated questions spanning key aspects of Computational Thinking, including abstraction, pattern recognition, algorithm design, and problem decomposition. "ThinkCode" is your go-to companion for those seeking to develop a solid foundation in computational problem-solving, ensuring proficiency in various domains of computing. Key Features: MCQ Exploration: Navigate through a diverse array of multiple-choice questions, each designed to enhance your understanding of Computational Thinking. From abstracting problems to designing algorithms, "ThinkCode" covers the spectrum of key concepts crucial for mastering this fundamental skill. Detailed Explanations: Elevate your Computational Thinking skills with detailed explanations accompanying each MCQ. Uncover the intricacies of problem decomposition, pattern recognition, and algorithmic design, providing a nuanced understanding of Computational Thinking principles. Real-World Applications: Connect Computational Thinking concepts to real-world applications with practical insights and examples. "ThinkCode" bridges the gap between theory and practical problem-solving, offering a holistic perspective on how computational skills are applied in various domains. Progressive Difficulty Levels: Progress from foundational to advanced questions, providing a structured learning experience suitable for learners at all levels. Challenge yourself with incrementally complex questions to deepen your Computational Thinking skills. Visual Learning Tools: Reinforce your understanding with visual aids such as flowcharts, diagrams, and algorithmic representations. These aids provide a visual dimension to the MCQs, facilitating a deeper understanding and application of Computational Thinking concepts. Why Choose Our Guide? Computational Thinking Mastery Guarantee: Immerse yourself in a carefully crafted collection of MCQs that capture the essence of Computational Thinking. "ThinkCode" is a valuable resource for mastering this essential skill and excelling in various computing domains. Expert Authorship: Crafted by experienced educators and technology professionals, this guide reflects a deep understanding of Computational Thinking principles and the nuanced skills required for effective problem-solving. Digital Accessibility: Seamlessly integrate your Computational Thinking exploration into your digital lifestyle. "ThinkCode" is available in digital format, providing the flexibility to study anytime, anywhere. Comprehensive Review: Use "ThinkCode" for focused revision and comprehensive review. The progressive structure ensures a well-rounded understanding of Computational Thinking concepts, making it an invaluable tool for learners at all levels. Keywords: Computational Thinking, MCQ Guide, ThinkCode, Problem-Solving, Algorithmic Reasoning, Abstraction, Pattern Recognition, Algorithm Design, Real-World Applications, Progressive Difficulty Levels, Visual Learning Tools. Embark on a cognitive journey with "ThinkCode: A Comprehensive MCQ Guide for Computational Thinking Mastery." Download your copy now to unravel the intricacies of problem-solving, refine your algorithmic reasoning skills, and become proficient in the foundational principles of Computational Thinking. Whether you're a student, educator, or technology enthusiast, this guide is your key to mastering the essential skills needed for effective problem-solving in the ever-evolving world of computing.

Computational Thinking in Education

Author: Aman Yadav

Publisher: Routledge

Published: 2021-11-22

Total Pages: 218

ISBN-13: 1000452638

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Computational Thinking in Education explores the relevance of computational thinking in primary and secondary education. As today’s school-aged students prepare to live and work in a thoroughly digitized world, computer science is providing a wealth of new learning concepts and opportunities across domains. This book offers a comprehensive overview of computational thinking, its history, implications for equity and inclusion, analyses of competencies in practice, and integration into learning, instruction, and assessment through scaffolded teacher education. Computer science education faculty and pre- and in-service educators will find a fresh pedagogical approach to computational thinking in primary and secondary classrooms.