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Students often face challenges in a swiftly advancing Computer Science Education (CSE), where technologies evolve rapidly, and concepts unfold with overwhelming intricacies. As society becomes interwoven with technology, how essential is the integration of CSE into the educational framework to adequately equip future generations for the complexities of the digital era? Navigating Computer Science Education in the 21st Century advocates integrating CSE into curricula, underlining its crucial role in early childhood development. The book grapples with the challenge of introducing children to technology responsibly, addressing concerns about unmonitored screen time while emphasizing the necessity of evidence-based approaches for educators. Within these pages, effective teaching strategies are linked to successes in CSE. The book explores learner-centered teaching methodologies in computer science, emphasizing individualized instruction, active learning, and collaborative approaches. It evaluates the effectiveness of traditional lecture-based teaching against more innovative strategies such as game-based learning and collaborative approaches. By presenting studies that delve into the impact of these strategies on student engagement and motivation, the book equips educators with the insights needed to make informed decisions tailored to diverse learning environments. The book scrutinizes the gaps and areas for improvement in CSE programs, ensuring they stay abreast of technological advancements. From renewable assessments and meaningful evaluations to integrating AI and Chat GPT in educational practices, the book paints a holistic picture of the innovations and technologies reshaping the educational terrain. Collaboratively crafted with educators, industry experts, and stakeholders, the book envisions a future where a technologically adept workforce propels society towards equity and innovation by fostering a symbiotic relationship between education and industry.

Fachübergreifender und fächerverbindender Unterricht in den MINT-Fächern (Mathematik, Informatik, Naturwissenschaften & Technik) werden seit Langem in Forschung und Bildungspolitik gefordert, aber selten in der unterrichtlichen Praxis umgesetzt. Um einen solchen Unterricht in der Schule zu fördern, ist es wichtig, die aus den MINT-Fachdidaktiken heraus gemeinsam entwickelten Konzepte zugänglich zu machen und Inhaltsfelder mehrperspektivisch zu erschließen.Der vorliegende Band stellt unterschiedliche interdisziplinäre Vorhaben aus den Bereichen Bildungsforschung, Lehrer•innenbildung und Unterrichtsentwicklung mit einem Fokus auf Mathematik vor.

The book discusses the evolution of STEM-driven Computer Science (CS) Education based on three categories of Big Concepts, Smart Education (Pedagogy), Technology (tools and adequate processes) and Content that relates to IoT, Data Science and AI. For developing, designing, testing, delivering and assessing learning outcomes for K-12 students (9-12 classes), the multi-dimensional modelling methodology is at the centre. The methodology covers conceptual and feature-based modelling, prototyping, and virtual and physical modelling at the implementation and usage level. Chapters contain case studies to assist understanding and learning. The book contains multiple methodological and scientific innovations including models, frameworks and approaches to drive STEM-driven CS education evolution.Educational strategists, educators, and researchers will find valuable material in this book to help them improve STEM-driven CS education strategies, curriculum development, and new ideas for research.

Future professional competencies in the field of computing, recommended by international forums and reference curricula, comprise a combination of knowledge, skills, and attitudes. These competencies can be developed through educational objectives which integrate theory and experience through teamwork, intense collaboration, and problem-solving. For this, it is necessary to have an authentic learning environment and well-defined pedagogical processes. In this context, this book argues that the educational strategy of Problem-Based Learning (PBL) can translate educational objectives into professional competencies. This book proposes a methodology to implement PBL in a manageable way. It also reports teaching and learning experiences concerning several computing professional profiles, providing a realistic picture of this methodology.

The follow-up to Cory Althoff's bestselling The Self-Taught Programmer, which inspired hundreds of thousands of professionals to learn to program outside of school! Fresh out of college and with just a year of self-study behind him, Cory Althoff was offered a dream first job as a software engineer for a well-known tech company, but he quickly found himself overwhelmed by the amount of things he needed to know, but hadn't learned yet. This experience combined with his personal journey learning to program inspired his widely praised guide, The Self-Taught Programmer. Now Cory's back with another guide for the self-taught community of learners focusing on the foundations of computer science. The Self-Taught Computer Scientist introduces beginner and self-taught programmers to computer science fundamentals that are essential for success in programming and software engineering fields. Computer science is a massive subject that could cover an entire lifetime of learning. This book does not aim to cover everything you would learn about if you went to school to get a computer science degree. Instead, Cory's goal is to give you an introduction to some of the most important concepts in computer science that apply to a programming career. With a focus on data structures and algorithms, The Self-Taught Computer Scientist helps you fill gaps in your knowledge, prepare for a technical interview, feel knowledgeable and confident on the job, and ultimately, become a better programmer. Learn different algorithms including linear and binary search and test your knowledge with feedback loops Understand what a data structure is and study arrays, linked lists, stacks, queues, hash tables, binary trees, binary heaps, and graphs Prepare for technical interviews and feel comfortable working with more experienced colleagues Discover additional resources and tools to expand your skillset and continue your learning journey It's as simple as this: You have to study computer science if you want to become a successful programmer, and if you don't understand computer science, you won't get hired. Ready for a career in programming, coding, or software engineering and willing to embrace an'always be learning'mindset? The Self-Taught Computer Scientist is for you.

Que niños, niñas y adolescentes'aprendan a programar'o tengan un taller de robótica a contraturno parece haberse convertido en la llave que les abrirá las puertas del siglo XXI. ¿En qué medida es así? ¿Se inscribe esta tendencia en la larga lista de contenidos que cada tanto prometen'revolucionar'la educación? ¿Qué significa, para este mundo y para el que viene, enseñar y aprender a usar la tecnología? ¿Cómo incorporar estos contenidos en las escuelas, en currículos ya superpoblados? Este libro original y necesario se sumerge en un área en construcción: la didáctica de las Ciencias de la Computación, que hoy se ha complejizado hasta incluir los algoritmos, la estructura de datos, las redes y arquitecturas de computadoras y, más allá, la robótica y la inteligencia artificial. Pero, sobre todo, estas páginas promueven una mirada sobre estos contenidos que supera largamente lo instrumental. Enseñar Ciencias de la Computación –y formar docentes para ello– tiene que ver con comprender la lógica de funcionamiento de la tecnología informática, poner manos a la obra para manejarla y crear a partir de sus posibilidades, pero también comprender sus implicancias sociales y políticas. Con larga experiencia como parte del equipo de la Fundación Sadosky, pionera en llevar la computación a las aulas de todo el país, los autores y autoras de este libro despliegan, sin tecnicismos, un panorama exhaustivo que va de la filosofía a la aplicación práctica. Las preguntas que se hacen son desafiantes: ¿se puede gozar de una ciudadanía plena en el siglo XXI sin estos conocimientos? ¿De qué manera lograr una mayor presencia femenina en este campo? ¿Cómo vincular los contenidos escolares con el mundo del trabajo? El objetivo es ambicioso: que alumnos y alumnas adquieran el reflejo de'dudar de las promesas mágicas de la tecnología', que estén tan preparados para adoptarla como para rechazarla cuando advierten que les pide mucho más que lo que les da.

Ideal for anyone who has never programmed, McMullen/Matthews/Parsons'PROGRAMMING WITH PYTHON uses a beginner's approach that combines conceptual content with rich examples and hands-on learning activities. Straightforward and student friendly, it emphasizes fundamental computer concepts from a Python programming perspective using a clear presentation with little technical jargon. Modules introduce important computer science concepts, procedural programming and object-oriented programming in short segments, while real-world examples, streamlined code and descriptive figures help you better understand today's computing concepts. As you strengthen your computer science knowledge, you will also sharpen critical-thinking and problem-solving skills -- and build confidence.

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. ContributorsHarold 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

Die Didaktik der beruflichen Fachrichtung Informationstechnik/Informatik steht historisch, berufswissenschaftlich und ordnungspolitisch in einem Spannungsverhältnis. Eine auch nur in Ansätzen geschlossene Theoriebildung zu einer Didaktik der Informationstechnik liegt nicht vor. Ausgehend von diesem Desiderat soll mit dieser Veröffentlichung eine erste Lücke geschlossen werden. Ziel dieses Buches ist es, Gegenstandsbereiche vorzustellen, die für eine Theoriebildung einer Didaktik der beruflichen Fachrichtung Informationstechnik/Informatik von Bedeutung sind. Dazu sind Beiträge eingeholt worden, die eine theoretische Einordnung auf verschiedenen Analyseebenen ermöglichen. Band 1 „Theoriebildung'schafft somit ein erstes Fundament, das im Weiteren ausgebaut werden wird. Ziel ist es, der beruflichen Fachrichtung Informationstechnik/Informatik und deren Didaktik ein eigenständiges Profil zu geben, damit sie sich gegenüber dem Status quo emanzipieren kann.

Your First Year Teaching Computer Science by Chris Gregg, Stanford University, 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.

'A gentle introduction to some of the most useful mathematical concepts that should be in your developer toolbox.'- Christopher Haupt, New Relic Explore important mathematical concepts through hands-on coding. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.Filled with graphics and more than 300 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today's hottest fields. As you tackle the basics of linear algebra, calculus, and machine learning, you'll master the key Python libraries used to turn them into real-world software applications. Summary To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today's hottest programming fields. About the technology Skip the mathematical jargon: This one-of-a-kind book uses Python to teach the math you need to build games, simulations, 3D graphics, and machine learning algorithms. Discover how algebra and calculus come alive when you see them in code! What's inside Vector geometry for computer graphics Matrices and linear transformations Core concepts from calculus Simulation and optimization Image and audio processing Machine learning algorithms for regression and classification About the reader For programmers with basic skills in algebra. About the author Paul Orland is a programmer, software entrepreneur, and math enthusiast. He is co-founder of Tachyus, a start-up building predictive analytics software for the energy industry. You can find him online at www.paulor.land. Table of Contents 1 Learning math with code PART I - VECTORS AND GRAPHICS 2 Drawing with 2D vectors 3 Ascending to the 3D world 4 Transforming vectors and graphics 5 Computing transformations with matrices 6 Generalizing to higher dimensions 7 Solving systems of linear equations PART 2 - CALCULUS AND PHYSICAL SIMULATION 8 Understanding rates of change 9 Simulating moving objects 10 Working with symbolic expressions 11 Simulating force fields 12 Optimizing a physical system 13 Analyzing sound waves with a Fourier series PART 3 - MACHINE LEARNING APPLICATIONS 14 Fitting functions to data 15 Classifying data with logistic regression 16 Training neural networks

This book is for new or aspiring computer science teachers wishing to improve their subject knowledge and gain confidence in the classroom. And it's for experienced computer science teachers who wish to hone their practice, in particular in the areas of explicit instruction, tackling misconceptions and exploring pedagogical content knowledge. You will read some of the backstory to our subject – the'hinterland'– those fascinating journeys into history that make the subject come alive and place it in historical context. These stories will help you to enrich your lessons, cement core knowledge, develop cultural capital and help you excite a life-long love for the subject. We will go beyond the mark scheme to explore the subject knowledge behind the answers, giving you the confidence to discuss the field in greater depth, enabling you to use explicit instruction methods: presenting skills and concepts clearly and directly enabling student mastery. We will explore misconceptions that arise when teaching our subject, so you can'head them off at the pass'. And we will look at teaching ideas – the pedagogical content knowledge (PCK) – exploring the helpful analogies, questions and activities that work for each topic: practices that can be lifted and dropped straight into the classroom to immediately enhance your teaching. Trainee or pre-service teachers, NQTs and early-career teachers will find this book invaluable, experienced teachers will find it inspiring, and all will benefit from a fresh look at the hinterland and subject pedagogy that makes computer science a fascinating subject to teach.

Unlock your students'creative potential by exploring the intersections between CS and art across various types of artistic media, including drawing, animation, music and physically interactive art.While there are books that discuss the intersection of the arts and computer science (CS), there are none written for K-12 teachers that cover the content overlaps between CS and the arts beyond a single programming environment, and that feature approaches and examples of practicing artists. Coding and the Arts fills that gap.CS sometimes gets a bad rap as dry, isolated and uninteresting work — the pursuit of analytically minded techies working alone. In reality, programming is deeply creative and enables artists of all types to discover new ways to express themselves. In this book, you'll explore how to apply computation to stretch the possibilities in many art forms, as well as how to pave the way for entirely new ones. By approaching programming tools as artistic media, you'll connect the dots between programming, creativity and artistic expression. Along the way, you'll learn from a diverse set of computational artists and teachers who are using technology to push the bounds of traditional artistic media.Chapters include:Spotlights of working artists and educators who are integrating computing into their art.Deep dives into artistic programming environments, exploring their unique benefits, constraints and impact on classroom use.Alignment to the four pillars of computational thinking to help you create richer learning experiences for students.Lesson sketches aligned with CS concepts and the ISTE Computational Thinking Competencies.The book also offers strategies for supporting students in developing as computational artists, including the attitudes and practices that will help them as artists and computer scientists.Audience: K-12 educators

Computer science has emerged as a key driver of innovation in the 21st century. Yet preparing teachers to teach computer science or integrate computer science content into K-12 curricula remains an enormous challenge. Recent policy reports have suggested the need to prepare future teachers to teach computer science through pre-service teacher education programs. In order to prepare a generation of teachers who are capable of delivering computer science to students, however, the field must identify research-based examples, pedagogical strategies, and policies that can facilitate changes in teacher knowledge and practices. The purpose of this book is to provide examples that could help guide the design and delivery of effective teacher preparation on the teaching of computer science. This book identifies promising pathways, pedagogical strategies, and policies that will help teacher education faculty and pre-service teachers infuse computer science content into their curricula as well as teach stand-alone computing courses. Specifically, 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 is students and faculty in educational technology, educational or cognitive psychology, learning theory, teacher education, curriculum and instruction, computer science, instructional systems, and learning sciences.

25 Problems for STEM Education introduces a new and emerging course for undergraduate STEM programs called Physical-Mathematical Informatics. This course corresponds with the new direction in education called STE(A)M (Science, Technology, Engineering, [Art] and Mathematics). The book focuses on undergraduate university students (and high school students), as well as the teachers of mathematics, physics, chemistry and other disciplines such as the humanities. This book is suitable for readers who have a basic understanding of mathematics and math software. Features Contains 32 interesting problems (studies) and new and unique methods of solving these physical and mathematical problems using a computer as well as new methods of teaching mathematics and physics Suitable for students in advanced high school courses and undergraduates, as well as for students studying Mathematical Education at the Master's or PhD level One of the only books that attempts to bring together ST(E)AM techniques, computational mathematics and informatics in a single, unified format

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.

This concise yet thorough textbook presents an active-learning model for the teaching of computer science. Offering both a conceptual framework and detailed implementation guidelines, the work is designed to support a Methods of Teaching Computer Science (MTCS) course, but may be applied to the teaching of any area of computer science at any level, from elementary school to university. This text is not limited to any specific curriculum or programming language, but instead suggests various options for lesson and syllabus organization.Fully updated and revised, the third edition features more than 40 new activities, bringing the total to more than 150, together with new chapters on computational thinking, data science, and soft concepts and soft skills. This edition also introduces new conceptual frameworks for teaching such as the MERge model, and new formats for the professional development of computer science educators.Topics and features:includes an extensive set of activities, to further support the pedagogical principles outlined in each chapter; discusses educational approaches to computational thinking, how to address soft concepts and skills in a MTCS course, and the pedagogy of data science (NEW); focuses on teaching methods, lab-based teaching, and research in computer science education, as well as on problem-solving strategies; examines how to recognize and address learners'misconceptions, and the different types of questions teachers can use to vary their teaching methods; provides coverage of assessment, teaching planning, and designing a MTCS course; reviews high school teacher preparation programs, and how prospective teachers can gain experience in teaching computer science.This easy-to-follow textbook and teaching guide will prove invaluable to computer science educators within all frameworks, including university instructors and high school teachers, as well asto instructors of computer science teacher preparation programs.

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.

A diverse group of scholars redefine constructionism—introduced by Seymour Papert in 1980—in light of new technologies and theories.Constructionism, first introduced by Seymour Papert in 1980, is a framework for learning to understand something by making an artifact for and with other people. A core goal of constructionists is to respect learners as creators, to enable them to engage in making meaning for themselves through construction, and to do this by democratizing access to the world's most creative and powerful tools. In this volume, an international and diverse group of scholars examine, reconstruct, and evolve the constructionist paradigm in light of new technologies and theories. Taken together, their contributions show that constructionism has advanced in educational research and practice—and also that, in turn, researchers and practitioners can learn from constructionism how to foster learning in ways that respect learners'creativity and communities.The contributors examine how constructionist design can function within contexts ranging from school and home to virtual spaces; explore ways to support learners who have been under-resourced, overlooked, or oppressed; discuss learning by collaboration; and consider the implications of learning as a creative process of construction, exploring ways to support creative enterprises within the constraints of formal classrooms. Finally, leading visionaries imagine where constructionism, design, and research will go nextContributorsKonstantin Aal, Dor Abrahamson, Edith K. Ackermann, Michael Ahmadi, Emma Anderson, Edward Baafi, Stephanie Benson, Laura Benton, Matthew Berland, Marina Umaschi Bers, Paulo Blikstein, Bryan McKinley Jones Brayboy, Karen Brennan, Leah Buechley, Angela Calabrese Barton, Teresa Casort, David Cavallo, Kiera Chase, Alison Clark-Wilson, Sequoia L. Dance, Joshua A. Danish, Sayamindu Dasgupta, Michael Eisenberg, Noel Enyedy, Deborah A. Fields, Andrea Forte, Gayithri Jayathirtha, Brian Gravel, Sara M. Grimes, Idit Harel, Erica R. Halverson, Nathan Holbert, Celia Hoyles, Raquel Jimenez, Yasmin B. Kafai, Ivan Kalas, Anna Keune, Susan Klimczak, Eric Klopfer, Maximilian Krüger, Chronis Kynigos, Tim Kubik, Breanne K. Litts, Benjamin Mako Hill, Amon Millner, Andrés Monroy-Hernández, Richard Noss, Seymour Papert, Kylie Peppler, Judy Perry, Mitchel Resnick, Rebecca Reynolds, Ricarose Roque, Piers Saunders, Kristin A. Searle, Kimberly M. Sheridan, Arnan Sipitakiat, R. Benjamin Shapiro, Gary S. Stager, Gunnar Stevens, Vanessa Svihla, Edna Tan, Orkan Telhan, Naomi Thompson, Nalin Tutiyaphuengprasert, Anne Weibert, Michelle Hoda Wilkerson, Volker Wulf, Uri Wilensky, Jianwei Zhang

This book mentions that more work must be done to increase the ratio of students studying Science, Technology, Engineering and Mathematics (Stem) and equip them with skills that will be necessary for the future. The book predicts the growth of many technical fields, including cloud technology, 3D printing, the Internet of Things (IoT) and mobile fields, but highlights that these fields are not currently included in most school curricula. It also mentions computer science teaching in developing countries, which lacks consistent policies, leadership and innovation capabilities within institutions. In order to train people who are capable of contributing to society and economy at large, the education sector must be reimagined.

The book'Computer Science and Technology in Schools'discusses important 21st century skills that students must possess. It mentions that computer science (CS) is the foundation of most innovations today, from biotechnology to earth sciences to national security, so it is necessary to include it in schools so that students can acquire relevant skills for the future. The book presents computer science as more than merely using technology. The subject of computer science is very broad and teaches learners design, problem solving and logical reasoning—all of which are valuable outside the computer science classroom. Teachers can use the skills introduced in this book to enable students to design technical solutions to problems in science, mathematics, social studies, art, and humanities.

This book illustrates a pathway for knowledge production to benefit from interweaving the seemingly disparate historical experiences of Indigenous Peoples and computer science education. The resulting practice of ancestral computing for sustainability holds the power to mitigate the destructive forces of the field, while extending the potential of traditionally underserved and unheard populations. Reimagining the field of computer science, interwoven with traditional lifeways, presents compelling new discoveries in research and harnesses the rich tapestries that are Indigenous populations. Returning healthy lifeways to a center stage long-occupied by tightly controlled, Eurocentric learning methods opens worlds of opportunity that have felt lost to time.

Physical-Computing-Geräte wie Roboter und Mikrocontroller spielen als Lernmedium eine wichtige Rolle. Insbesondere für schulische Kontexte existiert eine große Vielfalt an Geräten, die aus didaktischer Perspektive bereits untersucht wird. Im Rahmen dieser Dissertation wird von einem geräteunabhängigen Physical-Computing-Prozess als Problemlöseprozess ausgegangen, um ein Fundament für nachhaltige und geräteunabhängige Forschung zu schaffen sowie Physical Computing als Unterrichtsgegenstand zu beschreiben. Aufgrund von Merkmalen, wie der Arbeit mit Sensorik und Aktuatorik sowie dem iterativen Testen und Evaluieren, scheint Physical Computing Ähnlichkeiten zu dem naturwissenschaftlichen Experiment aufzuweisen. Dieser Zusammenhang und die potentiellen Auswirkungen auf die Informatikdidaktik werden mittels Design-Based-Research-Ansatz in drei Ausprägungsformen untersucht. Zuerst wird ein Modell des Physical-Computing-Prozesses modelliert und mit der Arbeitsweise des Experimentierens aus der naturwisseschaftlichen Erkenntnisgewinnung verglichen. Dabei werden diverse Gemeinsamkeiten ermittelt, die die Basis zur Untersuchung eines MINT-Problemlöseprozesses schaffen. Anschließend werden Probleme von Schülerinnen und Schülern während des Problemlösens analysiert und in einer Problemtaxonomie zusammengefasst. Darauf basierend wird ein mehrstufiges Feedback-Modell entwickelt und evaluiert, dass Schülerinnen und Schüler beim Problemlösen in Physical-Computing-Aktivitäten unterstützen kann und eine Grundlage für kognitive Tutorensysteme für Physical Computing bildet.

Drawing together the most up-to-date research from experts all across the world, Computer Science Education provides full, current coverage of a teaching subject that's still developing. It offers the most up-to-date coverage available on this developing subject, ideal for building confidence of new PGCE students teaching a very new discipline, exploring key concepts, pedagogical approaches and assessment practices. Highlights include:- a comprehensive taxonomy of programming misconceptions from Juha Sorva- an up-to-date discussion of computational thinking by Shuchi Grover and Roy Pea - a detailed look at issues of equity in computer science education by Jill Denner and Shannon Campe- teachers'and pupils'attitudes are considered by Quintin Cutts and Peter Donaldson- Paul Curzon and colleagues explore a range of different strategies for teaching computer science concepts- Ira Diethelm and her colleagues highlight the difficulties presented by the language we use to talk about computer science.The book is structured to support the reader with chapter outlines, synopses and key points. Explanations of key concepts, real-life examples and reflective points keep the theory grounded in classroom practice.

Master the basics of solving logic puzzles, and creating algorithms using Swift on Apple platforms. This book is based on the curriculum currently being used in common computer classes. You'll learn to automate algorithmic processes that scale using Swift in the context of iOS, macOS, tvOS, and watchOS.Begin by understanding how to think computationally: to formulate a computational problem and recognize patterns and ways to validate it. Then jump ahead past the abstractions and conceptual work into using code snippets to build frameworks and write code using Xcode and Swift. Once you have frameworks in place, you'll learn to use algorithms and structure data. Finally, you'll see how to bring people into what you've built through a useable UI and how UI and code relate.What You'll LearnRecognize patterns and use abstractionsBuild code into reusable frameworksManage code and share version controlSolve logic puzzlesWho This Book Is For Young professionals interested in learning computer science from an Apple platform standpoint.

Este libro presenta experiencias relacionadas con la práctica docente en el área de Tecnología e Informática, por investigadores de los grupos Ciencia y Educación en Tecnología e Informática - CETIN de la Universidad Pedagógica y Tecnológica de Colombia y el grupo EPISTEME de la Universidad Pedagógica Nacional. En el primer capítulo se abordan estrategias didácticas para la enseñanza de la Educación en Tecnología orientadas al desarrollo del pensamiento tecnológico. También se realiza una revisión teórica en relación con los elementos constitutivos del pensamiento tecnológico y sugerencias para su uso en el aula. En el segundo capítulo se presentan aspectos del aprendizaje colaborativo y la autorregulación mediada por recursos educativos digitales; en este caso, la estrategia didáctica está dirigida a repensar la informática como medio para la enseñanza de la Educación en Tecnología a través de proyectos. En el tercer capítulo, se describe una experiencia para promover la autonomía de los estudiantes, a través del modelo de reducción de diferencias en el aprendizaje en un curso e-learning. El último capítulo resume una experiencia con el uso de herramientas en la nube para fortalecer el grado de apropiación tecnológica de docentes y estudiantes, tomando como referencia la propuesta pedagógica:'Nativos Digitales y Modelos de Aprendizaje'

This seminal 62-page study presents detailed data from a survey of 1,566 undergraduates at BA-level, MA-level and research universities in the United States. The report presents details on the interest level of undergraduates in going to graduate school in computer science, and in taking computer science courses on the undergraduate level. In addition, the report queries undergraduates on their views of the likelihood that they will need in their future work or study the kinds of skills acquired in computer science classes. Survey participants also list the areas of computer science, and the specific graduate programs, that interest them most.

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.Audience: K-12 educators

At the centre of the methodology used in this book is STEM learning variability space that includes STEM pedagogical variability, learners'social variability, technological variability, CS content variability and interaction variability. To design smart components, firstly, the STEM learning variability space is defined for each component separately, and then model-driven approaches are applied. The theoretical basis includes feature-based modelling and model transformations at the top specification level and heterogeneous meta-programming techniques at the implementation level.Practice includes multiple case studies oriented for solving the task prototypes, taken from the real world, by educational robots. These case studies illustrate the process of gaining interdisciplinary knowledge pieces identified as S-knowledge, T-knowledge, E-knowledge, M-knowledge or integrated STEM knowledge and evaluate smart components from the pedagogical and technological perspectives based ondata gathered from one real teaching setting. Smart STEM-Driven Computer Science Education: Theory, Methodology and Robot-based Practices outlines the overall capabilities of the proposed approach and also points out the drawbacks from the viewpoint of different actors, i.e. researchers, designers, teachers and learners.

A Modern Approach to Functional Programming Objects First with Java: A Practical Introduction is an introduction to object-oriented programming for beginners. The main focus of the book is general object-oriented and programming concepts from a software engineering perspective. The first chapters are written for students with no programming experience with later chapters being more suitable for advanced or professional programmers. The Java programming language and BlueJ–the Java development environment – are the two tools used throughout the book. BlueJ's clear visualisation of classes and objects means that students can immediately appreciate the differences between them and gain a much better understanding of the nature of an object than they would from simply reading source code. Unlike traditional textbooks, the chapters are not ordered by language features but by software development concepts. The Sixth Edition goes beyond just adding the new language constructs of Java 8. The book's exploration of this new language demonstrates a renaissance of functional ideas in modern programming. While functional programming isn't new in principle, it's seen a boost in popularity based on the current computer hardware available and the changing nature of projects programmers wish to tackle. Functional language constructs make it possible to efficiently automate currency, make use of multiple cores without much effort on the side of the programmer, are both more elegant and readable, and offer great potential in solving the issue of parallel hardware. Functional programming has become an essential part of the field, and Objects First with Java gives students a basic understanding of an area they'll need to master in order to succeed in the future.

Computational thinking is a timeless, transferable skill that enables you to think more clearly and logically, as well as a way to solve specific problems. Beginning with the core ideas of computational thinking, with this book you'll build up an understanding of the practical problem-solving approach and explore how computational thinking aids good practice in programming, complete with a full guided example.

Why should every student take a computing course? What should be the content of these courses? How should they be taught, and by whom? This book addresses these questions by identifying the broader reaches of computing education, problem-solving and critical thinking as a general approach to learning.The book discusses new approaches to computing education, and considers whether the modern ubiquity of computing requires an educational approach that is inherently interdisciplinary and distinct from the traditional computer science perspective. The alternative approach that the authors advocate derives its mission from an intent to embed itself within an interdisciplinary arts and science context.An interdisciplinary approach to computing is compellingly valuable for students and educational institutions alike. Its goal is to support the educational and intellectual needs of students with interests in the entire range of academic disciplines. It capitalizes on students'focus on career development and employers'demand for technical, while also engaging a diverse student body that may not possess a pre-existing interest in computing for computing's sake. This approach makes directly evident the applicability of computer science topics to real-world interdisciplinary problems beyond computing and recognizes that technical and computational abilities are essential within every discipline. The book offers a valuable resource for computer science and computing education instructors who are presently re-thinking their curricula and pedagogical approaches and are actively trying new methods in the classroom. It will also benefit graduate students considering a future of teaching in the field, as well as administrators (in both higher education and high schools) interested in becoming conversant in the discourse surrounding the future of computing education.

André Hilbig entwickelt in diesem Buch ein Konzept zum Erwerb informatischer Kompetenzen zur Verhinderung von Cybermobbing. Dazu untersucht der Autor die hinter dem Cybermobbing liegenden Informatikstrukturen und leitet aus den Informatikfachstrukturen die Elemente ab, die Möglichkeiten zur Erklärung dieses Phänomens beinhalten. Es wird deutlich, dass informatische Grundlagen unabdingbar sind, wenn Schülerinnen und Schüler Gestaltungsfähigkeiten entwickeln sollen, die über die Bedien- und Nutzungsebene hinausgehen.

This book provides a history of the efforts of the US National Science Foundation to broaden participation in computing. The book briefly discusses the early history of the NSF's involvement with education and workforce issues. It then turns to two programs outside the computing directorate (the ADVANCE program and the Program on Women and Girls) that set the stage for three programs in the NSF computing directorate on broadening participation: the IT Workforce Program, the Broadening Participation in Computing program, and the Computing Education for the 21st Century program. The work looks at NSF-funded research and NSF-funded interventions both to increase the number of women, underrepresented minorities (African Americans, Hispanics, and American Indians) and people with disabilities, and to increase the number of public schools offering rigorous instruction in computing. Other organizations such as the ACM, the Computer Science Teachers Association, and Code.org are also covered.The years covered are primarily 1980 to the present.

Computing education is in enormous demand. Many students (both children and adult) are realizing that they will need programming in the future. This book presents the argument that they are not all going to use programming in the same way and for the same purposes. What do we mean when we talk about teaching everyone to program? When we target a broad audience, should we have the same goals as computer science education for professional software developers? How do we design computing education that works for everyone? This book proposes use of a learner-centered design approach to create computing education for a broad audience. It considers several reasons for teaching computing to everyone and how the different reasons lead to different choices about learning goals and teaching methods. The book reviews the history of the idea that programming isn't just for the professional software developer. It uses research studies on teaching computing in liberal arts programs, to graphic designers, to high school teachers, in order to explore the idea that computer science for everyone requires us to re-think how we teach and what we teach. The conclusion describes how we might create computing education for everyone.

This monograph presents the challenges, vision and context to design smart learning objects (SLOs) through Computer Science (CS) education modelling and feature model transformations. It presents the latest research on the meta-programming-based generative learning objects (the latter with advanced features are treated as SLOs) and the use of educational robots in teaching CS topics. The introduced methodology includes the overall processes to develop SLO and smart educational environment (SEE) and integrates both into the real education setting to provide teaching in CS using constructivist and project-based approaches along with evaluation of pedagogic outcomes.Smart Learning Objects for Smart Education in Computer Science will appeal to researchers in CS education particularly those interested in using robots in teaching, course designers and educational software and tools developers. With research and exercise questions at the end of each chapter students studying CS related courses will find this work informative and valuable too.

This is a guide, in theory and in practice, to how current technological changes have impacted our interaction with texts and with each other. Henry Sussman rereads pivotal moments in literary, philosophical and cultural modernity as anticipating the cybernetic discourse that has increasingly defined theory since the computer revolution. Cognitive science, psychoanalysis and systems theory are paralleled to current trends in literary and philosophical theory.Chapters alternate between theory and readings of literary texts, resulting in a broad but rigorously grounded framework for the relation between literature and computer science. This book is a refreshing perspective on the analog-orientated tradition of theory in the humanities – and offers the first literary-textual genealogy of the digital.

There is a significant difference between designing a new algorithm, proving its correctness, and teaching it to an audience. When teaching algorithms, the teacher's main goal should be to convey the underlying ideas and to help the students form correct mental models related to the algorithm. This process can often be facilitated by using suitable metaphors. This work provides a set of novel metaphors identified and developed as suitable tools for teaching many of the'classic textbook'algorithms taught in undergraduate courses worldwide. Each chapter provides exercises and didactic notes for teachers based on the authors'experiences when using the metaphor in a classroom setting.

Improving Computer Science Education examines suitable theoretical frameworks for conceptualizing teaching and learning computer science. This highly useful book provides numerous examples of practical,'real world'applications of major computer science information topics, such as:• Spreadsheets• Databases• ProgrammingEach chapter concludes with a section that summarzies recommendations for teacher professional development. Traditionally, computer science education has been skills-focused and disconnected from the reality students face after they leave the classroom. Improving Computer Science Education makes the subject matter useful and meaningful by connecting it explicitly to students'everyday lives.

This curriculum and its description were developed during the period 1981 - 1984

This guide presents both a conceptual framework and detailed implementation guidelines for general computer science (CS) teaching. The content is clearly written and structured to be applicable to all levels of CS education and for any teaching organization, without limiting its focus to instruction for any specific curriculum, programming language or paradigm. Features: presents an overview of research in CS education; examines strategies for teaching problem-solving, evaluating pupils, and for dealing with pupils'misunderstandings; provides learning activities throughout the book; proposes active-learning-based classroom teaching methods, as well as methods specifically for lab-based teaching; discusses various types of questions that a CS instructor, tutor, or trainer can use for a range of different teaching situations; investigates thoroughly issues of lesson planning and course design; describes frameworks by which prospective CS teachers gain their first teaching experience.

Hvad ligger der i begrebet e-lAering, og hvordan inkorporerer man som underviser e-lAering i undervisningen? LAering og it kigger nAermere pa, hvordan multimediale medier og internettet kan understotte lAering, undervisning og samarbejde ved hjAelp af konkrete eksempler pa it-anvendelser med fokus pa potentialer, barrierer og faldgruber.Bogen undersoger teknologianvendelserne i sammenhAeng med de videregaende uddannelsers kompetencefordringer og tegner dermed et billede af teknologiens muligheder og begrAensninger i undervisningen.Artiklerne er tAenkt som inspirationstekster, og hver artikel afsluttes med perspektiverende sporgsmal, som inviterer til refleksion og diskussion. Teksterne kan med fordel anvendes som undervisningsmateriale pa uddannelser, hvor fokus er pa udvikling af it-understottede lAeringsmiljoer.