eBook downloads, eBook resources & eBook authors
From the creator of the bestselling Mr. Panda series comes an amusing picture book about the fun you can have when you unplug. Meet Blip. Blip loves being plugged into her computer. When a blackout occurs, Blip trips over her wire and tumbles outside. Suddenly, Blip's gray world is filled with color and excitement. She plays with her new friends and has adventures all day long. When Blip finally returns home, she realizes that the world can be even brighter once you unplug.
Computational thinking is a lifelong skill important for succeeding in careers and life. Students especially need to acquire this skill while in school as it can assist with solving a number of complex problems that arise later in life. Therefore, the importance of teaching computational thinking and coding in early education is paramount for fostering problem-solving and creativity. Teaching Computational Thinking and Coding to Young Children discusses the importance of teaching computational thinking and coding in early education. The book focuses on interdisciplinary connections between computational thinking and other areas of study, assessment methods for computational thinking, and different contexts in which computational thinking plays out. Covering topics such as programming, computational thinking assessment, computational expression, and coding, this book is essential for elementary and middle school teachers, early childhood educators, administrators, instructional designers, curricula developers, educational software developers, researchers, educators, academicians, and students in computer science, education, computational thinking, and early childhood education.
Teaching primary computing without computers? The Computing curriculum is a challenge for primary school teachers. The realities of primary school resources mean limited access to computer hardware. But computing is about more than computers. Important aspects of the fundamental principles and concepts of computer science can be taught without any hardware. Children can learn to analyse problems and computational terms and apply computational thinking to solve problems without turning on a computer. This book shows you how you can teach computing through ‘unplugged’ activities. It provides lesson examples and everyday activities to help teachers and pupils explore computing concepts in a concrete way, accelerating their understanding and grasp of key ideas such as abstraction, logic, algorithms and data representation. The unplugged approach is physical and collaborative, using kinaesthetic learning to help make computing concepts more meaningful and memorable. This book will help you to elevate your teaching, and your children′s learning of computing beyond the available hardware. It focuses on the building blocks of understanding required for computation thinking.
Teaching Unplugged beschäftigt sich mit Unterricht, der seinen Antrieb aus der Konversation erhält, dabei wenig Material verwendet und auf dem Anwenden der Sprache beruht. Der Band ist in drei Bereiche gegliedert: Auf einen kurz und bündig formulierten Theorieteil, der die Hintergründe des Teaching Unplugged erklärt, folgt ein ausführlicher Pool an unmittelbar einsetzbaren Aktivitäten für die Niveaus A1 - C1. Im abschließenden Teil wird die Anwendung dieses Lehransatzes in unterschiedlichen Lernergruppen und Lehrumgebungen diskutiert.
"This book examines the implementation of computational thinking into school curriculum in order to develop creative problem-solving skills and to build a computational identity which will allow for future STEM growth"--
**Check out the Doug Unplugs animated series on Apple TV!** It's easy being a robot, if you play by all the rules—but when Doug gets curious, he decides to unplug and forge his own path. And he discovers a whole world of what's possible. Doug is a robot. His parents want him to be smart, so each morning they plug him in and start the information download. After a morning spent learning facts about the city, Doug suspects he could learn even more about the city by going outside and exploring it. And so Doug . . . unplugs. What follows is an exciting day of adventure and discovery. Doug learns amazing things by doing and seeing and touching and listening—and above all, by interacting with a new friend. Dan Yaccarino's funny story of robot rebellion is a great reminder that sometimes the best way to learn about the world is to go out and be in it. Praise for Doug Unplugged: "A gentle robotic rebellion." —USA Today A sweet tale . . . Yaccarino [is] especially good at slipping in the small, nourishing details that are savored upon repeated readings." —The New York Times
Algorithms specify the way computers process information and how they execute tasks. Many recent technological innovations and achievements rely on algorithmic ideas – they facilitate new applications in science, medicine, production, logistics, traffic, communi¬cation and entertainment. Efficient algorithms not only enable your personal computer to execute the newest generation of games with features unimaginable only a few years ago, they are also key to several recent scientific breakthroughs – for example, the sequencing of the human genome would not have been possible without the invention of new algorithmic ideas that speed up computations by several orders of magnitude. The greatest improvements in the area of algorithms rely on beautiful ideas for tackling computational tasks more efficiently. The problems solved are not restricted to arithmetic tasks in a narrow sense but often relate to exciting questions of nonmathematical flavor, such as: How can I find the exit out of a maze? How can I partition a treasure map so that the treasure can only be found if all parts of the map are recombined? How should I plan my trip to minimize cost? Solving these challenging problems requires logical reasoning, geometric and combinatorial imagination, and, last but not least, creativity – the skills needed for the design and analysis of algorithms. In this book we present some of the most beautiful algorithmic ideas in 41 articles written in colloquial, nontechnical language. Most of the articles arose out of an initiative among German-language universities to communicate the fascination of algorithms and computer science to high-school students. The book can be understood without any prior knowledge of algorithms and computing, and it will be an enlightening and fun read for students and interested adults.
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.
While the growth of computational thinking has brought new awareness to the importance of computing education, it has also created new challenges. Many educational initiatives focus solely on the programming aspects, such as variables, loops, conditionals, parallelism, operators, and data handling, divorcing computing from real-world contexts and applications. This decontextualization threatens to make learners believe that they do not need to learn computing, as they cannot envision a future in which they will need to use it, just as many see math and physics education as unnecessary. The Handbook of Research on Tools for Teaching Computational Thinking in P-12 Education is a cutting-edge research publication that examines the implementation of computational thinking into school curriculum in order to develop creative problem-solving skills and to build a computational identity which will allow for future STEM growth. Moreover, the book advocates for a new approach to computing education that argues that while learning about computing, young people should also have opportunities to create with computing, which will have a direct impact on their lives and their communities. Featuring a wide range of topics such as assessment, digital teaching, and educational robotics, this book is ideal for academicians, instructional designers, teachers, education professionals, administrators, researchers, and students.
