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| become a computer science teacher: Integrating Differentiated Instruction and Understanding by Design Carol Ann Tomlinson, Jay McTighe, 2006-01-15 Teachers struggle every day to bring quality instruction to their students. Beset by lists of content standards and accompanying high-stakes accountability tests, many educators sense that both teaching and learning have been redirected in ways that are potentially impoverishing for those who teach and those who learn. Educators need a model that acknowledges the centrality of standards but also ensures that students truly understand content and can apply it in meaningful ways. For many educators, Understanding by Design addresses that need. Simultaneously, teachers find it increasingly difficult to ignore the diversity of the learners who populate their classrooms. Few teachers find their work effective or satisfying when they simply serve up a curriculum—even an elegant one—to students with no regard for their varied learning needs. For many educators, Differentiated Instruction offers a framework for addressing learner variance as a critical component of instructional planning. In this book the two models converge, providing readers fresh perspectives on two of the greatest contemporary challenges for educators: crafting powerful curriculum in a standards-dominated era and ensuring academic success for the full spectrum of learners. Each model strengthens the other. Understanding by Design is predominantly a curriculum design model that focuses on what we teach. Differentiated Instruction focuses on whom we teach, where we teach, and how we teach. Carol Ann Tomlinson and Jay McTighe show you how to use the principles of backward design and differentiation together to craft lesson plans that will teach essential knowledge and skills for the full spectrum of learners. Connecting content and kids in meaningful ways is what teachers strive to do every day. In tandem, UbD and DI help educators meet that goal by providing structures, tools, and guidance for developing curriculum and instruction that bring to students the best of what we know about effective teaching and learning. |
| become a computer science teacher: Guide to Teaching Computer Science Orit Hazzan, Tami Lapidot, Noa Ragonis, 2015-01-07 This textbook presents both a conceptual framework and detailed implementation guidelines for computer science (CS) teaching. Updated with the latest teaching approaches and trends, and expanded with new learning activities, the content of this new edition is clearly written and structured to be applicable to all levels of CS education and for any teaching organization. Features: provides 110 detailed learning activities; reviews curriculum and cross-curriculum topics in CS; explores the benefits of CS education research; describes strategies for cultivating problem-solving skills, for assessing learning processes, and for dealing with pupils’ misunderstandings; proposes active-learning-based classroom teaching methods, including lab-based teaching; discusses various types of questions that a CS instructor or trainer can use for a range of teaching situations; investigates thoroughly issues of lesson planning and course design; examines the first field teaching experiences gained by CS teachers. |
| become a computer science teacher: Your First Year Teaching Computer Science Chris Gregg, 2021-01-15 Your First Year Teaching Computer Science is a comprehensive guide to teaching computer science geared to new instructors in the field. It can be used as a guide and a reference, and it provides multiple examples of how to construct teaching materials, how to prepare lectures, how to write assignments, how to train TAs, and how to advise students, among many other topics. It is both motivational and instructive, and it provides a foundation on which to become a great CS instructor. Teaching computer science involves more than just teaching the material, and this book details all of the other parts of teaching that you will need to know to do the job. If you are wondering where to begin as a computer science teacher, this is the book for you.Features-Serves as a comprehensive guide to teaching introductory computer science for new teachers, and experienced teachers can refer to it on specific points. -Provides examples of teaching materials, grading guides, multiple lists, and other valuable resource for helping new teachers to launch their first computer science courses. -Includes information about training TAs, holding office hours, advising students, and many other practical information that is not specifically about the technical part of teaching computer science. -Written in a conversational tone and is premised on the belief that teaching should be rewarding, fun, and engaging. |
| become a computer science teacher: Computer Science in K-12 Shuchi Grover, 2020-04 Coding teaches our students the essence of logical thinking and problem solving while also preparing them for a world in which computing is becoming increasingly pervasive. While there's excitement and enthusiasm about programming becoming an intrinsic part of K-12 curricula the world over, there's also growing anxiety about preparing teachers to teach effectively at all grade levels.This book strives to be an essential, enduring, practical guide for every K-12 teacher anywhere who is either teaching or planning to teach computer science and programming at any grade level. To this end, readers will discover:? An A-to-Z organization that affords comprehensive insight into teaching introductory programming.? 26 chapters that cover foundational concepts, practices and well-researched pedagogies related to teaching introductory programming as an integral part of K-12 computer science. Cumulatively these chapters address the two salient building blocks of effective teaching of introductory programming-what content to teach (concepts and practices) and how to teach (pedagogy).? Concrete ideas and rich grade-appropriate examples inspired by practice and research for classroom use.? Perspectives and experiences shared by educators and scholars who are actively practicing and/or examiningthe teaching of computer science and programming in K-12 classrooms. |
| become a computer science teacher: Blown to Bits Harold Abelson, Ken Ledeen, Harry R. Lewis, 2008 'Blown to Bits' is about how the digital explosion is changing everything. The text explains the technology, why it creates so many surprises and why things often don't work the way we expect them to. It is also about things the information explosion is destroying: old assumptions about who is really in control of our lives. |
| become a computer science teacher: Computational Thinking and Coding for Every Student Jane Krauss, Kiki Prottsman, 2016-10-28 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 |
| become a computer science teacher: Handbook of Research on Integrating Computer Science and Computational Thinking in K-12 Education Keengwe, Jared, Wachira, Patrick, 2019-12-13 As technology continues to develop and prove its importance in modern society, certain professions are acclimating. Aspects such as computer science and computational thinking are becoming essential areas of study. Implementing these subject areas into teaching practices is necessary for younger generations to adapt to the developing world. There is a critical need to examine the pedagogical implications of these technological skills and implement them into the global curriculum. The Handbook of Research on Integrating Computer Science and Computational Thinking in K-12 Education is a collection of innovative research on the methods and applications of computer science curriculum development within primary and secondary education. While highlighting topics including pedagogical implications, comprehensive techniques, and teacher preparation models, this book is ideally designed for teachers, IT consultants, curriculum developers, instructional designers, educational software developers, higher education faculty, administrators, policymakers, researchers, and graduate students. |
| become a computer science teacher: Rev Up Robotics Jorge Valenzuela, 2022-08-18 Author Jorge Valenzuela lays out the foundational skills of computational thinking required for programming with robotics. Unlike other robotics books and curriculum, Rev Up Robotics takes a cross-curricular approach, showing educators how to begin incorporating robotics into their content area lessons and in conjunction with other subjects. You’ll get an overview of standards-based skills that can be covered in English language arts, math, science, social studies and robotics electives. Teachers also get tips for selecting the robot that works for them and for students, and details on the functions of gears, motors and sensors. Also included is a deep dive into more advanced topics like the intersections of computer science, mechanical engineering and electrical engineering with robotics. Finally, you’ll find advice for getting students involved with competitive robotics, and case studies that offer empirical evidence for using robotics successfully in instruction. The book: • Shows how to help students recognize and apply the four elements of computational thinking to familiar situations. • Provides a pathway from working with visual blocks to programming in C++. • Discusses building and programming robots, with tips for adding your own code and troubleshooting. • Demonstrates how to manipulate basic movement to better understand the functions of gears, motors and sensors. With activities and examples for grade levels K-8, teachers come away with easy-to-implement cross-curricular ideas to engage students in computer science and engineering activities. |
| become a computer science teacher: HT THINK LIKE A COMPUTER SCIEN Jeffrey Elkner, Allen B. Downey, Chris Meyers, 2016-10-04 The goal of this book is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. Like mathematicians, computer scientists use formal languages to denote ideas (specifically computations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions. The single most important skill for a computer scientist is problem solving. Problem solving means the ability to formulate problems, think creatively about solutions, and express a solution clearly and accurately. As it turns out, the process of learning to program is an excellent opportunity to practice problem-solving skills. That's why this chapter is called, The way of the program. On one level, you will be learning to program, a useful skill by itself. On another level, you will use programming as a means to an end. As we go along, that end will become clearer. |
| become a computer science teacher: Handbook of Research on Equity in Computer Science in P-16 Education Keengwe, Jared, Tran, Yune, 2020-11-13 The growing trend for high-quality computer science in school curricula has drawn recent attention in classrooms. With an increasingly information-based and global society, computer science education coupled with computational thinking has become an integral part of an experience for all students, given that these foundational concepts and skills intersect cross-disciplinarily with a set of mental competencies that are relevant in their daily lives and work. While many agree that these concepts should be taught in schools, there are systematic inequities that exist to prevent students from accessing related computer science skills. The Handbook of Research on Equity in Computer Science in P-16 Education is a comprehensive reference book that highlights relevant issues, perspectives, and challenges in P-16 environments that relate to the inequities that students face in accessing computer science or computational thinking and examines methods for challenging these inequities in hopes of allowing all students equal opportunities for learning these skills. Additionally, it explores the challenges and policies that are created to limit access and thus reinforce systems of power and privilege. The chapters highlight issues, perspectives, and challenges faced in P-16 environments that include gender and racial imbalances, population of growing computer science teachers who are predominantly white and male, teacher preparation or lack of faculty expertise, professional development programs, and more. It is intended for teacher educators, K-12 teachers, high school counselors, college faculty in the computer science department, school administrators, curriculum and instructional designers, directors of teaching and learning centers, policymakers, researchers, and students. |
| become a computer science teacher: Computer Science Education Research Sally Fincher, Marian Petre, 2004-01-01 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. |
| become a computer science teacher: The Cambridge Handbook of Computing Education Research Sally A. Fincher, Anthony V. Robins, 2019-02-13 This is an authoritative introduction to Computing Education research written by over 50 leading researchers from academia and the industry. |
| become a computer science teacher: Jacob K. Javits Gifted and Talented Students Education Program , 1998 |
| become a computer science teacher: No Fear Coding Heidi Williams, 2017 Coding and computational thinking (the ability to think like a computer) are among the skills that will serve students well in the future. Coding goes beyond websites and software - it's an essential component in finding solutions to everyday problems. Computational thinking has many applications beyond the computer lab or math class -it teaches reasoning, creativity and expression, and is an innovative way to demonstrate content knowledge and see mathematical processes in action. No-Fear Coding shows K-5 educators how to bring coding into their curriculum by embedding computational thinking skills into activities for every content area. At the same time, embedding these skills helps students prepare for coding in the middle grades as they build their knowledge. To help teachers easily and effectively introduce coding, the book features: Classroom-tested lessons and activities designed for skills progression. Ready-to-implement coding exercises that can be incorporated across the curriculum. Alignment to ISTE and Computer Science Teachers Association (CSTA) standards. Case studies and explorations of technology tools and resources to teach coding. |
| become a computer science teacher: Stuck in the Shallow End, updated edition Jane Margolis, 2017-03-03 Why so few African American and Latino/a students study computer science: updated edition of a book that reveals the dynamics of inequality in American schools. The number of African Americans and Latino/as receiving undergraduate and advanced degrees in computer science is disproportionately low. And relatively few African American and Latino/a high school students receive the kind of institutional encouragement, educational opportunities, and preparation needed for them to choose computer science as a field of study and profession. In Stuck in the Shallow End, Jane Margolis and coauthors look at the daily experiences of students and teachers in three Los Angeles public high schools: an overcrowded urban high school, a math and science magnet school, and a well-funded school in an affluent neighborhood. They find an insidious “virtual segregation” that maintains inequality. The race gap in computer science, Margolis discovers, is one example of the way students of color are denied a wide range of occupational and educational futures. Stuck in the Shallow End is a story of how inequality is reproduced in America—and how students and teachers, given the necessary tools, can change the system. Since the 2008 publication of Stuck in the Shallow End, the book has found an eager audience among teachers, school administrators, and academics. This updated edition offers a new preface detailing the progress in making computer science accessible to all, a new postscript, and discussion questions (coauthored by Jane Margolis and Joanna Goode). |
| become a computer science teacher: Computational Thinking Education in K-12 Siu-Cheung Kong, Harold Abelson, 2022-05-03 A guide to computational thinking education, with a focus on artificial intelligence literacy and the integration of computing and physical objects. Computing has become an essential part of today’s primary and secondary school curricula. In recent years, K–12 computer education has shifted from computer science itself to the broader perspective of computational thinking (CT), which is less about technology than a way of thinking and solving problems—“a fundamental skill for everyone, not just computer scientists,” in the words of Jeanette Wing, author of a foundational article on CT. This volume introduces a variety of approaches to CT in K–12 education, offering a wide range of international perspectives that focus on artificial intelligence (AI) literacy and the integration of computing and physical objects. The book first offers an overview of CT and its importance in K–12 education, covering such topics as the rationale for teaching CT; programming as a general problem-solving skill; and the “phenomenon-based learning” approach. It then addresses the educational implications of the explosion in AI research, discussing, among other things, the importance of teaching children to be conscientious designers and consumers of AI. Finally, the book examines the increasing influence of physical devices in CT education, considering the learning opportunities offered by robotics. Contributors Harold Abelson, Cynthia Breazeal, Karen Brennan, Michael E. Caspersen, Christian Dindler, Daniella DiPaola, Nardie Fanchamps, Christina Gardner-McCune, Mark Guzdial, Kai Hakkarainen, Fredrik Heintz, Paul Hennissen, H. Ulrich Hoppe, Ole Sejer Iversen, Siu-Cheung Kong, Wai-Ying Kwok, Sven Manske, Jesús Moreno-León, Blakeley H. Payne, Sini Riikonen, Gregorio Robles, Marcos Román-González, Pirita Seitamaa-Hakkarainen, Ju-Ling Shih, Pasi Silander, Lou Slangen, Rachel Charlotte Smith, Marcus Specht, Florence R. Sullivan, David S. Touretzky |
| become a computer science teacher: Structure and Interpretation of Computer Programs Harold Abelson, Gerald Jay Sussman, 2022-05-03 A new version of the classic and widely used text adapted for the JavaScript programming language. Since the publication of its first edition in 1984 and its second edition in 1996, Structure and Interpretation of Computer Programs (SICP) has influenced computer science curricula around the world. Widely adopted as a textbook, the book has its origins in a popular entry-level computer science course taught by Harold Abelson and Gerald Jay Sussman at MIT. SICP introduces the reader to central ideas of computation by establishing a series of mental models for computation. Earlier editions used the programming language Scheme in their program examples. This new version of the second edition has been adapted for JavaScript. The first three chapters of SICP cover programming concepts that are common to all modern high-level programming languages. Chapters four and five, which used Scheme to formulate language processors for Scheme, required significant revision. Chapter four offers new material, in particular an introduction to the notion of program parsing. The evaluator and compiler in chapter five introduce a subtle stack discipline to support return statements (a prominent feature of statement-oriented languages) without sacrificing tail recursion. The JavaScript programs included in the book run in any implementation of the language that complies with the ECMAScript 2020 specification, using the JavaScript package sicp provided by the MIT Press website. |
| become a computer science teacher: Mindstorms Seymour A Papert, 2020-10-06 In this revolutionary book, a renowned computer scientist explains the importance of teaching children the basics of computing and how it can prepare them to succeed in the ever-evolving tech world. Computers have completely changed the way we teach children. We have Mindstorms to thank for that. In this book, pioneering computer scientist Seymour Papert uses the invention of LOGO, the first child-friendly programming language, to make the case for the value of teaching children with computers. Papert argues that children are more than capable of mastering computers, and that teaching computational processes like de-bugging in the classroom can change the way we learn everything else. He also shows that schools saturated with technology can actually improve socialization and interaction among students and between students and teachers. Technology changes every day, but the basic ways that computers can help us learn remain. For thousands of teachers and parents who have sought creative ways to help children learn with computers, Mindstorms is their bible. |
| become a computer science teacher: Deep Learning for Coders with fastai and PyTorch Jeremy Howard, Sylvain Gugger, 2020-06-29 Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala |
| become a computer science teacher: The Last Lecture Randy Pausch, Jeffrey Zaslow, 2010 The author, a computer science professor diagnosed with terminal cancer, explores his life, the lessons that he has learned, how he has worked to achieve his childhood dreams, and the effect of his diagnosis on him and his family. |
| become a computer science teacher: Creative Coding in Python Sheena Vaidyanathan, 2018-12-18 Creative Coding in Python presents over 30 creative projects that teach kids how to code in the easy and intuitive programming language, Python. Creative Coding in Python teaches the fundamentals of computer programming and demonstrates how to code 30+ fun, creative projects using Python, a free, intuitive, open-source programming language that's one of the top five most popular worldwide and one of the most popular Google search terms in the U.S. Computer science educator Sheena Vaidyanathan helps kids understand the fundamental ideas of computer programming and the process of computational thinking using illustrations, flowcharts, and pseudocode, then shows how to apply those essentials to code exciting projects in Python: Chatbots: Discover variables, strings, integers, and more to design conversational programs. Geometric art: Use turtle graphics to create original masterpieces. Interactive fiction: Explore booleans and conditionals to invent create your own adventure games. Dice games: Reuse code to devise games of chance. Arcade games and apps: Understand GUI (graphical user interfaces) and create your own arcade games and apps. What’s next? Look at exciting ways to use your powerful new skills and expand your knowledge of coding in Python. Creative Coding in Python gives kids the tools they need to create their own computer programs. |
| become a computer science teacher: Getting Smart Tom Vander Ark, 2011-09-20 A comprehensive look at the promise and potential of online learning In our digital age, students have dramatically new learning needs and must be prepared for the idea economy of the future. In Getting Smart, well-known global education expert Tom Vander Ark examines the facets of educational innovation in the United States and abroad. Vander Ark makes a convincing case for a blend of online and onsite learning, shares inspiring stories of schools and programs that effectively offer personal digital learning opportunities, and discusses what we need to do to remake our schools into smart schools. Examines the innovation-driven world, discusses how to combine online and onsite learning, and reviews smart tools for learning Investigates the lives of learning professionals, outlines the new employment bargain, examines online universities and smart schools Makes the case for smart capital, advocates for policies that create better learning, studies smart cultures |
| become a computer science teacher: Ultralearning Scott H. Young, 2019-08-06 Now a Wall Street Journal bestseller. Learn a new talent, stay relevant, reinvent yourself, and adapt to whatever the workplace throws your way. Ultralearning offers nine principles to master hard skills quickly. This is the essential guide to future-proof your career and maximize your competitive advantage through self-education. In these tumultuous times of economic and technological change, staying ahead depends on continual self-education—a lifelong mastery of fresh ideas, subjects, and skills. If you want to accomplish more and stand apart from everyone else, you need to become an ultralearner. The challenge of learning new skills is that you think you already know how best to learn, as you did as a student, so you rerun old routines and old ways of solving problems. To counter that, Ultralearning offers powerful strategies to break you out of those mental ruts and introduces new training methods to help you push through to higher levels of retention. Scott H. Young incorporates the latest research about the most effective learning methods and the stories of other ultralearners like himself—among them Benjamin Franklin, chess grandmaster Judit Polgár, and Nobel laureate physicist Richard Feynman, as well as a host of others, such as little-known modern polymath Nigel Richards, who won the French World Scrabble Championship—without knowing French. Young documents the methods he and others have used to acquire knowledge and shows that, far from being an obscure skill limited to aggressive autodidacts, ultralearning is a powerful tool anyone can use to improve their career, studies, and life. Ultralearning explores this fascinating subculture, shares a proven framework for a successful ultralearning project, and offers insights into how you can organize and exe - cute a plan to learn anything deeply and quickly, without teachers or budget-busting tuition costs. Whether the goal is to be fluent in a language (or ten languages), earn the equivalent of a college degree in a fraction of the time, or master multiple tools to build a product or business from the ground up, the principles in Ultralearning will guide you to success. |
| become a computer science teacher: Teaching Tech Together Greg Wilson, 2019-10-08 Hundreds of grassroots groups have sprung up around the world to teach programming, web design, robotics, and other skills outside traditional classrooms. These groups exist so that people don't have to learn these things on their own, but ironically, their founders and instructors are often teaching themselves how to teach. There's a better way. This book presents evidence-based practices that will help you create and deliver lessons that work and build a teaching community around them. Topics include the differences between different kinds of learners, diagnosing and correcting misunderstandings, teaching as a performance art, what motivates and demotivates adult learners, how to be a good ally, fostering a healthy community, getting the word out, and building alliances with like-minded groups. The book includes over a hundred exercises that can be done individually or in groups, over 350 references, and a glossary to help you navigate educational jargon. |
| become a computer science teacher: Computational Thinking Education Siu-Cheung Kong, Harold Abelson, 2019-07-04 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. |
| become a computer science teacher: Computers and the World of the Future Martin Greenberger, Massachusetts Institute of Technology. School of Industrial Management, 1964 Writers including Vannevar Bush and Herbert A. Simon discuss the impact of the computer in its first twenty years. Writers discuss the extraordinary growth of the computer in its first twenty years and its use in fields as diverse as medicine and economics, management and physics. Employed in areas once thought to be exclusively the province of the human mind, the computer rendered profound changes in the traditional ways and means of decision making. Contributors C.P. Snow, Walter A. Rosenblith, Norbert Wiener, Vannevar Bush, Herbert A. Simon, Howard W. Johnson, Marvin L. Minsky, Peter Elias, J. C. R. Licklider, Elting E. Morison, Philip M. Morse, Jay W. Forrester, Grace M. Hopper, Alan J. Perlis, John R. Pierce, Robert C. Sprague, Claude E. Shannon, Charles C. Holt, John G. Kemeny, Donald J. Marquis, Gene M. Amdahl, Sidney S. Alexander, Robert M. Fano, and others |
| become a computer science teacher: AP® Computer Science Principles Crash Course Jacqueline Corricelli, 2018-01-04 AP® Computer Science Principles Crash Course® A Higher Score in Less Time! REA's AP® Computer Science Principles Crash Course® is the top choice for the last-minute studier or any Computer Science Principles student who wants a quick refresher on the course. Are you crunched for time? Have you started studying for your Advanced Placement® Computer Science Principles exam yet? How will you memorize everything you need to know before the test? Do you wish there was a fast and easy way to study for the exam AND boost your score? If this sounds like you, don't panic. REA's Crash Course for AP® Computer Science Principles is just what you need. Our Crash Course gives you: Targeted Review - Study Only What You Need to Know. The review is based on an in-depth analysis of the AP® Computer Science Principles course description outline and sample AP® test questions. It covers only the information tested on the exam, so you can make the most of your valuable study time. Expert Test-taking Strategies and Advice. Written by Jacqueline Corricelli, an award-winning AP® Computer Science Principles teacher and test development expert, the book gives you the topics and critical context that will matter most on exam day. Crash Course® relies on the author’s extensive analysis of the test’s structure and content. By following her advice, you can boost your score. REA's Online Practice Exam. Are you ready for your exam? Take REA's practice exam and find out. You'll get the benefits of timed testing, detailed explanations of answers, and automatic scoring analysis. Our practice exam is balanced to include every topic and type of question found on the actual AP® exam, so you'll be confident on test day. Whether you're cramming for the exam or reinforcing what you learn as you go through the course, this is the study guide every AP® Computer Science Principles student must have. |
| become a computer science teacher: Computer Science K-12: Imagining the Possibilities! Doug Bergman, 2018-04-16 Whether you are an experienced teacher or someone new to the field, you'll find this book to be full of resources and information for schools looking to bring engaging and dynamic computer science to its students. If you are new to the field, or still researching if computer science fits in your school, you can use this book as a guide to help you understand that CS really is, research what kinds of technologies work in the classroom, the differences between the many programming languages, type of available curricula, training, recruitment, online communities, format of your classroom, and even pedagogical style. If you are an experienced computer science teacher looking for new ideas, new approaches, and new ways to engage students through a project-based approach, you will discover numerous proven strategies and case studies to help you take your CS program to the next level -- Back cover. |
| become a computer science teacher: Coding in the Classroom Ryan Somma, 2020-10-20 A book for anyone teaching computer science, from elementary school teachers and coding club coaches to parents looking for some guidance. Computer science opens more doors for today's youth than any other discipline - which is why Coding in the Classroom is your key to unlocking students' future potential. Author Ryan Somma untangles the current state of CS education standards; describes the cognitive, academic, and professional benefits of learning CS; and provides numerous strategies to promote computational thinking and get kids coding! Whether you're a teacher, an after-school coach, or a parent seeking accessible ways to boost your kid's computer savvy, Coding in the Classroom is here to help. With quick-start programming strategies, scaffolded exercises for every grade level, and ideas for designing CS events that promote student achievement, this book is a rock-solid roadmap to CS integration from a wide variety of on-ramps. You'll learn: tips and resources for teaching programming concepts via in-class activities and games, without a computer development environments that make coding and sharing web apps a breeze lesson plans for the software lifecycle process and techniques for facilitating long-term projects ways to craft interdisciplinary units that bridge CS and computational thinking with other content areas Coding in the Classroom does more than make CS less formidable - it makes it more fun! From learning computational thinking via board games to building their own websites, students are offered a variety of entry points for acquiring the skills they need to succeed in the 21st-century workforce. Moreover, Somma understands how schools operate - and he's got your back. You'll be empowered to advocate for the value of implementing CS across the curriculum, get stakeholder buy-in, and build the supportive, equitable coding community that your school deserves. |
| become a computer science teacher: Lifelong Kindergarten Mitchel Resnick, 2018-08-28 How lessons from kindergarten can help everyone develop the creative thinking skills needed to thrive in today's society. In kindergartens these days, children spend more time with math worksheets and phonics flashcards than building blocks and finger paint. Kindergarten is becoming more like the rest of school. In Lifelong Kindergarten, learning expert Mitchel Resnick argues for exactly the opposite: the rest of school (even the rest of life) should be more like kindergarten. To thrive in today's fast-changing world, people of all ages must learn to think and act creatively—and the best way to do that is by focusing more on imagining, creating, playing, sharing, and reflecting, just as children do in traditional kindergartens. Drawing on experiences from more than thirty years at MIT's Media Lab, Resnick discusses new technologies and strategies for engaging young people in creative learning experiences. He tells stories of how children are programming their own games, stories, and inventions (for example, a diary security system, created by a twelve-year-old girl), and collaborating through remixing, crowdsourcing, and large-scale group projects (such as a Halloween-themed game called Night at Dreary Castle, produced by more than twenty kids scattered around the world). By providing young people with opportunities to work on projects, based on their passions, in collaboration with peers, in a playful spirit, we can help them prepare for a world where creative thinking is more important than ever before. |
| become a computer science teacher: Computer Science Teacher Beverly Clarke, 2017 This book explores the role of Computer Science Teacher in a secondary school environment. An overview of secondary school computing is covered, along with what the role encompasses, the attributes, knowledge and skills required to be a success and useful standards, tools, methods and techniques you can employ. |
| become a computer science teacher: Teacher Proof Tom Bennett, 2013-07-04 ‘Tom Bennett is the voice of the modern teacher.’ - Stephen Drew, Senior Vice-Principal, Passmores Academy, UK, featured on Channel 4’s Educating Essex Do the findings from educational science ever really improve the day-to-day practice of classroom teachers? Education is awash with theories about how pupils best learn and teachers best teach, most often propped up with the inevitable research that ‘proves’ the case in point. But what can teachers do to find the proof within the pudding, and how can this actually help them on wet Wednesday afternoon?. Drawing from a wide range of recent and popular education theories and strategies, Tom Bennett highlights how much of what we think we know in schools hasn’t been ‘proven’ in any meaningful sense at all. He inspires teachers to decide for themselves what good and bad education really is, empowering them as professionals and raising their confidence in the classroom and the staffroom alike. Readers are encouraged to question and reflect on issues such as: the most common ideas in modern education and where these ideas were born the crisis in research right now how research is commissioned and used by the people who make policy in the UK and beyond the provenance of education research: who instigates it, who writes it, and how to spot when a claim is based on evidence and when it isn’t the different way that data can be analysed what happens to the research conclusions once they escape the laboratory. Controversial, erudite and yet unremittingly entertaining, Tom includes practical suggestions for the classroom throughout. This book will be an ally to every teacher who’s been handed an instruction on a platter and been told, ‘the research proves it.’ |
| become a computer science teacher: FTCE Computer Science K-12 Secrets Study Guide Ftce Exam Secrets Test Prep Team, 2014-03-31 ***Includes Practice Test Questions*** FTCE Computer Science K-12 Secrets helps you ace the Florida Teacher Certification Examinations, without weeks and months of endless studying. Our comprehensive FTCE Computer Science K-12 Secrets study guide is written by our exam experts, who painstakingly researched every topic and concept that you need to know to ace your test. Our original research reveals specific weaknesses that you can exploit to increase your exam score more than you've ever imagined. FTCE Computer Science K-12 Secrets includes: The 5 Secret Keys to FTCE Test Success: Time Is Your Greatest Enemy, Guessing is Not Guesswork, Practice Smarter, Not Harder, Prepare, Don't Procrastinate, Test Yourself; Introduction to the FTCE Series; A comprehensive General Strategy review including: Make Predictions, Answer the Question, Benchmark, Valid Information, Avoid Fact Traps, Milk the Question, The Trap of Familiarity, Eliminate Answers, Tough Questions, Brainstorm, Read Carefully, Face Value, Prefixes, Hedge Phrases, Switchback Words, New Information, Time Management, Contextual Clues, Don't Panic, Pace Yourself, Answer Selection, Check Your Work, Beware of Directly Quoted Answers, Slang, Extreme Statements, Answer Choice Families; Along with a complete, in-depth study guide for your specific FTCE exam, and much more... |
| become a computer science teacher: Make It Stick Peter C. Brown, Henry L. Roediger III, Mark A. McDaniel, 2014-04-14 To most of us, learning something the hard way implies wasted time and effort. Good teaching, we believe, should be creatively tailored to the different learning styles of students and should use strategies that make learning easier. Make It Stick turns fashionable ideas like these on their head. Drawing on recent discoveries in cognitive psychology and other disciplines, the authors offer concrete techniques for becoming more productive learners. Memory plays a central role in our ability to carry out complex cognitive tasks, such as applying knowledge to problems never before encountered and drawing inferences from facts already known. New insights into how memory is encoded, consolidated, and later retrieved have led to a better understanding of how we learn. Grappling with the impediments that make learning challenging leads both to more complex mastery and better retention of what was learned. Many common study habits and practice routines turn out to be counterproductive. Underlining and highlighting, rereading, cramming, and single-minded repetition of new skills create the illusion of mastery, but gains fade quickly. More complex and durable learning come from self-testing, introducing certain difficulties in practice, waiting to re-study new material until a little forgetting has set in, and interleaving the practice of one skill or topic with another. Speaking most urgently to students, teachers, trainers, and athletes, Make It Stick will appeal to all those interested in the challenge of lifelong learning and self-improvement. |
| become a computer science teacher: Grading for Equity Joe Feldman, 2018-09-25 Joe Feldman shows us how we can use grading to help students become the leaders of their own learning and lift the veil on how to succeed. . . . This must-have book will help teachers learn to implement improved, equity-focused grading for impact. —Zaretta Hammond, Author of Culturally Responsive Teaching & The Brain Crack open the grading conversation Here at last—and none too soon—is a resource that delivers the research base, tools, and courage to tackle one of the most challenging and emotionally charged conversations in today’s schools: our inconsistent grading practices and the ways they can inadvertently perpetuate the achievement and opportunity gaps among our students. With Grading for Equity, Joe Feldman cuts to the core of the conversation, revealing how grading practices that are accurate, bias-resistant, and motivational will improve learning, minimize grade inflation, reduce failure rates, and become a lever for creating stronger teacher-student relationships and more caring classrooms. Essential reading for schoolwide and individual book study or for student advocates, Grading for Equity provides A critical historical backdrop, describing how our inherited system of grading was originally set up as a sorting mechanism to provide or deny opportunity, control students, and endorse a fixed mindset about students’ academic potential—practices that are still in place a century later A summary of the research on motivation and equitable teaching and learning, establishing a rock-solid foundation and a true north orientation toward equitable grading practices Specific grading practices that are more equitable, along with teacher examples, strategies to solve common hiccups and concerns, and evidence of effectiveness Reflection tools for facilitating individual or group engagement and understanding As Joe writes, Grading practices are a mirror not just for students, but for us as their teachers. Each one of us should start by asking, What do my grading practices say about who I am and what I believe? Then, let’s make the choice to do things differently . . . with Grading for Equity as a dog-eared reference. |
| become a computer science teacher: The Computer Teacher from the Black Lagoon Mike Thaler, 2012 A boy contemplates all the horrible stories he's heard about the computer teacher, Miss Pluggins, and the ordeals she forces her students to endure. |
| become a computer science teacher: ITiCSE '19 ITiCSE '19, 2020-03-26 This year, an ITiCSE record of 243 papers were submitted, of which 66 were accepted, giving an acceptance rate of 27%. Of these papers, just over half had an author from the United States or Canada, while European authors were represented in about 40% of the papers. We also accepted papers with authors from Central and South America, China, Japan, Australia, and the Middle East, giving us a truly international avour of current Computer Science Education research and practice. In addition to the Paper, Poster and Panel submissions, and Tips, Techniques and Courseware presentations, we have ten Working Groups investigating these topics: the pacing of introductory CS courses; fostering program comprehension for novice programmers; exploring pass rates in computing and other STEM subjects; sustainability issues in CS; diversity in the cybersecurity eld; data science education; benchmarking K-12 CS education in schools; developing a model curriculum for cloud computing; and designing better compiler error messages. The reports from these groups will be published in a companion volume to the nal proceedings, but we look forward to the working groups presenting preliminary findings during the conference. |
| become a computer science teacher: Mathematics for Computer Science Eric Lehman, F. Thomson Leighton, Albert R. Meyer, 2017-03-08 This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions. |
| become a computer science teacher: Cracking the Coding Interview Gayle Laakmann McDowell, 2011 Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This book provides: 150 Programming Interview Questions and Solutions: From binary trees to binary search, this list of 150 questions includes the most common and most useful questions in data structures, algorithms, and knowledge based questions. 5 Algorithm Approaches: Stop being blind-sided by tough algorithm questions, and learn these five approaches to tackle the trickiest problems. Behind the Scenes of the interview processes at Google, Amazon, Microsoft, Facebook, Yahoo, and Apple: Learn what really goes on during your interview day and how decisions get made. Ten Mistakes Candidates Make -- And How to Avoid Them: Don't lose your dream job by making these common mistakes. Learn what many candidates do wrong, and how to avoid these issues. Steps to Prepare for Behavioral and Technical Questions: Stop meandering through an endless set of questions, while missing some of the most important preparation techniques. Follow these steps to more thoroughly prepare in less time. |
| become a computer science teacher: Computer Networking: A Top-Down Approach Featuring the Internet, 3/e James F. Kurose, 2005 |
BECOME Definition & Meaning - Merriam-Webster
The meaning of BECOME is to come into existence. How to use become in a sentence.
BECOME | English meaning - Cambridge Dictionary
BECOME definition: 1. to start to be: 2. to cause someone to look attractive, or to be suitable for someone: 3. to…. …
BECOME Definition & Meaning | Dictionary.com
Become definition: to come, change, or grow to be (as specified).. See examples of BECOME used in a sentence.
Become - definition of become by The Free Dictionary
1. to come, change, or grow to be (as specified): to become tired. 2. to come into being; develop or progress into: She became a ballerina. 3. to be attractive on; befit in appearance; …
become - WordReference.com Dictionary of English
to come, change, or grow to be (as specified): He became tired. to come into being. look well on: That gown …
BECOME Definition & Meaning - Merriam-Webster
The meaning of BECOME is to come into existence. How to use become in a sentence.
BECOME | English meaning - Cambridge Dictionary
BECOME definition: 1. to start to be: 2. to cause someone to look attractive, or to be suitable for someone: 3. to…. …
BECOME Definition & Meaning | Dictionary.com
Become definition: to come, change, or grow to be (as specified).. See examples of BECOME used in a sentence.
Become - definition of become by The Free Dictionary
1. to come, change, or grow to be (as specified): to become tired. 2. to come into being; develop or progress into: …
become - WordReference.com Dictionary of English
to come, change, or grow to be (as specified): He became tired. to come into being. look well on: That gown …
