Integrating Computer Science Across the Core is a guide to systematizing computer science and computational thinking practices in your school. While most books explain how to teach computer science as a stand-alone discipline, this innovative approach will help you leverage your existing curriculum to deepen and expand students’ learning experiences in all content areas. Effective, equitable, and sustainable, this blueprint provides principals, curriculum directors, directors of technology, and other members of your school or district leadership team with suggested organizational structures, tips for professional learning, and key resources like planning instruments.

You belong in this world of computer science education—and because of you, adults of the future will understand how to responsibly participate in high-tech environments with confidence. Districts, cities, and states are moving toward computer science requirements for all K-12 classrooms, even in courses that were not previously associated with technology. These new requirements leave many teachers feeling anxious and unprepared when it comes to integrating computer science into existing curriculum. This book is here to support educators in that shift by inviting them to explore computer science and coding in an approachable and unintimidating way. Let′s All Teach Computer Science: K-12 is a source of inspiration and empowerment for educators who are moving into this technological wonderland. Kiki Prottsman has more than 15 years of experience in computer science education, and her insight informs thoughtful discussions on promoting creativity, problem-solving, and collaboration in students. The book positions computer science in a way that supports other essential skills–such as reading, writing, and mathematics– by providing customizable frameworks that help to seamlessly integrate computer science into core subjects. This book: Provides powerful insights for creating innovative and inclusive learning environments Offers practical examples of integrating computer science into traditional subjects like math, history, art, and more Highlights the importance of addressing implicit biases and promoting computer science as an inclusive field for all students Includes insights on classroom technology and educational technology, as well as AI and its role in education Encourages educators to work together to nurture digital innovators while recognizing potential challenges and frustrations Let′s All Teach Computer Science is an essential guide that equips K-12 teachers with the knowledge and tools necessary to begin teaching computer science immediately–and does so in an enjoyable way, thanks to Prottsman’s friendly and playful style.

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.

This book helps classroom teachers, in several core content areas, develop activities and projects to encourage computational thinking and coding skills, and to build bridges between those skills and practice.

Access to high-quality computer science instruction has grown by leaps and bounds in recent years. Thanks to this movement, more students start middle school with some foundational knowledge of computer science and coding. This new set of creative skills empowers students to express themselves in powerful ways, but students still need opportunities and support to develop and hone those skills. This book helps classroom teachers in several core content areas develop activities and projects to encourage computational thinking and coding skills, and to build bridges between those skills and practice. For math, science, English language arts and social studies teachers, the resources in this book provide guidance to start integrating coding into their classes to complement and strengthen existing instruction.

This book offers a deep dive into computer science integration, providing guidelines for designing elementary CS/math curricula through case studies and practical examples. How-to books related to computer science (CS) and teaching CS in K-12 environments are often either step-by-step guides or reference books, with little or no connection to pedagogy. By contrast, Coding + Math offers the analytical foundation teachers need to inform their practice, specifically in mathematics. Grounded in research, the book’s mini-lessons contrast visual-based coding with text-based programming and provide guidance in the selection and creation of lessons, instructional materials and CS platforms to help educators prepare students for the careers of the future. The book: • Includes case studies in each chapter, with a research snapshot that contextualizes the key elements of the case study. • Offers strategies for “getting out the blocks” and introducing text-based CS when students are ready. • Examines the rationale and effectiveness of scaffolded approaches to CS — such as block coding, scripted and storyboarding — vs. traditional syntax-based and problem-solving approaches. • Ties effective teaching strategies directly to the CSTA K-12 Computer Science Standards, ISTE’s Standards for Computer Science Educators and the ISTE Computational Thinking Competencies. Coding + Math will strengthen the ties between math and CS to support students’ achievement in math, as well as their future CS course selections and pursuits of CS careers.

This book will help future scientists to become more intelligent users of computing technology in their practice of science. The content is suitable for introductory courses on the foundations of computing and the specific application of computers in different areas of science. The text presents a set of modules for use in existing science courses in order to integrate individual aspects of computational thinking, as well as a set of modules introducing the computer science concepts needed to understand the computing involved. These modules guide science students in their independent learning. The book covers computing applications in such diverse areas as bioinformatics, chemical kinetics, hydrogeological modeling, and mechanics of materials, geographic information systems, flow analysis, the solving of equations, curve fitting, optimization, and scientific data acquisition. The computing topics covered include simulations, errors, data representation, algorithms, XMS, compression, databases, performance, and complexity.

This guide to the ISTE Standards for Educators: Computational Thinking Competencies will help educators incorporate CT in their curriculum to deepen student learning. Computational thinking (CT) is a powerful ingredient for solving ambiguous, complex and open-ended problems by drawing on principles and practices central to computer science (CS). CT is at the core of CS and is a gateway to sparking student interest and confidence in learning CS. The ISTE Standards for Educators: Computational Thinking Competencies were created to inspire every educator to add more computational thinking into their core problem-solving strategies. These competencies augment and home in on the competencies embedded in the ISTE Standards for Students and Educators. The information in this guide will provide a framework and structure to build creative learning opportunities in CT and increase students’ ability to adapt to unfamiliar challenges, allowing for more success with innovative lesson plans. This booklet contains: • An overview of computer science and computational thinking and how they interact. • Examples from across the subject/grade spectrum, including kindergarten reading, third grade math, sixth grade science and 10th grade social studies. • Ideas for adding CT to lessons to enhance the knowledge base of students, letting them build the skills and confidence to persist when unexpected obstacles arise. • Reflection questions and tips to help educators integrate CT into their lessons. • Explanation of how the CT competencies complement the ISTE Standards for Educators. This booklet will help educators understand the CT Competencies so they can effectively build CT into their curriculum, no matter what subject they teach.

"Computer science has emerged as a key driver of innovation in the 21st century. Preparing teachers to teach computer science, however, remains an enormous challenge as there are few highly qualified teachers who can teach computer science or integrate computer science content into K-12 curricula. To address this challenge, NSF established the CS10K program with the aim of preparing 10,000 teachers in 10,000 high schools teaching computer science curricula. While this effort is still under-way, there has not been a systematic attempt to capture the work done in this area. In order to prepare a generation of teachers who are capable of delivering computer science content to students, we must identify research-based examples, pedagogical strategies and policies that can facilitate changes in teacher knowledge and practices. The purpose of this project is to provide examples that could help guide the design and delivery of effective teacher preparation on the teaching of computer science concepts. This book identifies promising pathways, pedagogical strategies and policies that help pre-service and in-service teachers infuse computing ideas in their curricula as well as teach stand-alone computing courses. The book focuses on pedagogical practices for developing and assessing pre-service teacher knowledge of computer science, course design models for pre-service teachers, and discussion of policies that can support the teaching of computer science. The primary audience of the book will be students and faculty in educational technology, educational or cognitive psychology, learning theory, curriculum and instruction, computer science, instructional systems and learning sciences"--

This new edition of the popular book No Fear Coding offers current research, updated tools and more cross-curricular connections for K-5 teachers to integrate into their classes. Coding has become an essential skill for finding solutions to everyday problems, while computational thinking (CT) teaches reasoning and creativity, and offers an innovative approach to demonstrating content knowledge and seeing mathematical processes in action. No Fear Coding introduced many K-5 educators to ways to bring coding into their curriculum by embedding computational thinking skills into activities for different content areas. This second edition features updated tools—including programmable robots and other physical computing devices—as well as new activities aligned to the ISTE Standards for Students and Computational Thinking Competencies. Also new in this edition: • New tools for teaching coding—including physical computing devices, block-based programming and AR/VR— along with methods for introducing, tutorials and lesson plans. • Teachable examples and activities that illustrate CT concepts—decomposition, pattern recognition, abstraction and algorithmic thinking. • Resources for deeper understanding and discussion questions for professional development and reflection on the practice of teaching coding and CT. • Tips on demystifying basic coding concepts so that teachers are comfortable teaching these concepts to their students. No Fear Coding, Second Edition will help build students’ coding and CT knowledge to prepare them for the middle grades and beyond.