"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 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.

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.

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

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.

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.