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Computational Thinking in Education: A Pedagogical Perspective
by Aman YadavComputational Thinking in Education explores the relevance of computational thinking in primary and secondary education. As today’s school-aged students prepare to live and work in a thoroughly digitized world, computer science is providing a wealth of new learning concepts and opportunities across domains. This book offers a comprehensive overview of computational thinking, its history, implications for equity and inclusion, analyses of competencies in practice, and integration into learning, instruction, and assessment through scaffolded teacher education. Computer science education faculty and pre- and in-service educators will find a fresh pedagogical approach to computational thinking in primary and secondary classrooms.
Computational Thinking in the STEM Disciplines: Foundations And Research Highlights
by Myint Swe KhineThis book covers studies of computational thinking related to linking, infusing, and embedding computational thinking elements to school curricula, teacher education and STEM related subjects. Presenting the distinguished and exemplary works by educators and researchers in the field highlighting the contemporary trends and issues, creative and unique approaches, innovative methods, frameworks, pedagogies and theoretical and practical aspects in computational thinking. A decade ago the notion of computational thinking was introduced by Jeannette Wing and envisioned that computational thinking will be a fundamental skill that complements to reading, writing and arithmetic for everyone and represents a universally applicable attitude. The computational thinking is considered a thought processes involved in a way of solving problems, designing systems, and understanding human behaviour. Assimilating computational thinking at young age will assist them to enhance problem solving skills, improve logical reasoning, and advance analytical ability - key attributes to succeed in the 21st century. Educators around the world are investing their relentless effort in equipping the young generation with real-world skills ready for the demand and challenges of the future. It is commonly believed that computational thinking will play a pivotal and dominant role in this endeavour. Wide-ranging research on and application of computational thinking in education have been emerged in the last ten years. This book will document attempts to conduct systematic, prodigious and multidisciplinary research in computational thinking and present their findings and accomplishments.
Computational Thinking: A Perspective on Computer Science
by Zhiwei Xu Jialin ZhangThis textbook is intended as a textbook for one-semester, introductory computer science courses aimed at undergraduate students from all disciplines. Self-contained and with no prerequisites, it focuses on elementary knowledge and thinking models. The content has been tested in university classrooms for over six years, and has been used in summer schools to train university and high-school teachers on teaching introductory computer science courses using computational thinking. This book introduces computer science from a computational thinking perspective. In computer science the way of thinking is characterized by three external and eight internal features, including automatic execution, bit-accuracy and abstraction. The book is divided into chapters on logic thinking, algorithmic thinking, systems thinking, and network thinking. It also covers societal impact and responsible computing material – from ICT industry to digital economy, from the wonder of exponentiation to wonder of cyberspace, and from code of conduct to best practices for independent work. The book’s structure encourages active, hands-on learning using the pedagogic tool Bloom's taxonomy to create computational solutions to over 200 problems of varying difficulty. Students solve problems using a combination of thought experiment, programming, and written methods. Only 300 lines of code in total are required to solve most programming problems in this book.
Computational Topology in Image Context: 6th International Workshop, CTIC 2016, Marseille, France, June 15-17, 2016, Proceedings (Lecture Notes in Computer Science #9667)
by Alexandra Bac Jean-Luc MariThis book constitutes the proceedings of the 6th International Workshop on Computational Topology in Image Context, CTIC 2016, held in Marseille, France, in June 2016. The 24 papers presented in this volume were carefully reviewed and selected from 35 submissions. Additionally, this volume contains 2 invited papers. CTIC covers a wide range of topics such as: topological invariants and their computation, homology, cohomology, linking number, fundamental groups; algorithm optimization in discrete geometry, transfer of mathematical tools, parallel computation in multi-dimensional volume context, hierarchical approaches; experimental evaluation of algorithms and heuristics; combinatorial or multi-resolution models; discrete or computational topology; geometric modeling guided by topological constraints; computational topological dynamics; and use of topological information in discrete geometry applications.
Computational Topology in Image Context: 7th International Workshop, CTIC 2019, Málaga, Spain, January 24-25, 2019, Proceedings (Lecture Notes in Computer Science #11382)
by Rebeca Marfil Mariletty Calderón Fernando Díaz del Río Pedro Real Antonio BanderaThis book constitutes the proceedings of the 7th International Workshop on Computational Topology in Image Context, CTIC 2019, held in Málaga, Spain, in January 2019. The 14 papers presented in this volume were carefully reviewed and selected from 21 submissions. Papers deal with theoretical issues but most of them put the attention on the applicability of concepts and algorithms. These were designed to deal with objects and images, but also with the speech signal. The final application must be for instance in the medical domain or in the robotics one.
A Computational View of Autism: Using Virtual Reality Technologies in Autism Intervention
by Uttama LahiriThis book first explains autism, its prevalence, and some conventional intervention techniques, and it then describes how virtual reality technology can support autism intervention and skills training. The approaches and technologies covered include immersive virtual reality, augmented reality and mixed reality. The tasks covered include emotion recognition, affective computing, teaching communication skills, imparting literacy skills, training for imitation skills, and joint attention skills. Most of the chapters assume no prerequisite knowledge of autism or virtual reality, and they are supported throughout with detailed references for further investigation.While the author is an engineer by profession, with specialist knowledge in robotics and computer-based platforms, in this book she adopts a user perspective and cites many real-life examples from her own experience. The book is suitable for students of cognitive science, and researchers and practitioners engaged with designing and offering technological assistance for special needs training.
Computational Vision and Bio Inspired Computing
by D. Jude Hemanth S. SmysThis is the proceedings of the International Conference On Computational Vision and Bio Inspired Computing (ICCVBIC 2017) held at RVS Technical Campus, September 21-22, 2017. It includes papers on state of the art innovations in bio-inspired computing applications, where new algorithms and results are produced and described. Additionally, this volume addresses evolutionary computation paradigms, artificial neural networks and biocomputing. It focuses mainly on research based on visual interference on the basis of biological images. Computation of data sources also plays a major role in routine day-to-day life for the purposes such as video transmission, wireless applications, fingerprint recognition and processing, big data intelligence, automation, human centric recognition systems. With the advantage of processing bio-inspired computations, a variety of computational paradigms can be processed. Finally, this book also treats the formation of neural networks by enabling local connectivity within it with the aid of vision sensing elements. The work also provides potential directions for future research.
Computational Vision and Bio-Inspired Computing: Proceedings of ICCVBIC 2021 (Advances in Intelligent Systems and Computing #1420)
by S. Smys João Manuel R. S. Tavares Valentina Emilia BalasThis book includes selected papers from the 5th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2021), held in Coimbatore, India, during November 25–26, 2021. This book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. It also contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.
Computational Vision and Bio-Inspired Computing: ICCVBIC 2019 (Advances in Intelligent Systems and Computing #1108)
by S. Smys João Manuel R. S. Tavares Valentina Emilia Balas Abdullah M. IliyasuThis proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. Due to the rapid advances in the emerging information, communication and computing technologies, the Internet of Things, cloud and edge computing, and artificial intelligence play a significant role in the computational vision context. In recent years, computational vision has contributed to enhancing the methods of controlling the operations in biological systems, like ant colony optimization, neural networks, and immune systems. Moreover, the ability of computational vision to process a large number of data streams by implementing new computing paradigms has been demonstrated in numerous studies incorporating computational techniques in the emerging bio-inspired models. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization, and big data modeling and management, that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems, and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.
Computational Vision and Bio-Inspired Computing: ICCVBIC 2020 (Advances in Intelligent Systems and Computing #1318)
by S. Smys João Manuel R. S. Tavares Robert Bestak Fuqian ShiThis book includes selected papers from the 4th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2020), held in Coimbatore, India, from November 19 to 20, 2020. This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.
Computational Vision and Bio-Inspired Computing: Proceedings of ICCVBIC 2022 (Advances in Intelligent Systems and Computing #1439)
by S. Smys João Manuel R. S. Tavares Fuqian ShiThis book includes selected papers from the 6th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2022), held in Coimbatore, India, from November 18 to 19, 2022. This volume presents state-of-the-art research innovations in computational vision and bio-inspired techniques. It includes theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems.
Computational Vision and Medical Image Processing: Recent Trends (Computational Methods in Applied Sciences #19)
by Joao Tavares R. M. JorgeThis book contains extended versions of papers presented at the international Conference VIPIMAGE 2009 - ECCOMAS Thematic Conference on Computational Vision and Medical Image, that was held at Faculdade de Engenharia da Universidade do Porto, Portugal, from 14th to 16th of October 2009. This conference was the second ECCOMAS thematic conference on computational vision and medical image processing. It covered topics related to image processing and analysis, medical imaging and computational modelling and simulation, considering their multidisciplinary nature. The book collects the state-of-the-art research, methods and new trends on the subject of computational vision and medical image processing contributing to the development of these knowledge areas.
Computational Vision and Robotics: Proceedings of ICCVR 2014 (Advances in Intelligent Systems and Computing #332)
by Ishwar K. SethiComputer Vision and Robotic is one of the most challenging areas of 21st century. Its application ranges from Agriculture to Medicine, Household applications to Humanoid, Deep-sea-application to Space application, and Industry applications to Man-less-plant. Today's technologies demand to produce intelligent machine, which are enabling applications in various domains and services. Robotics is one such area which encompasses number of technology in it and its application is widespread. Computational vision or Machine vision is one of the most challenging tools for the robot to make it intelligent. This volume covers chapters from various areas of Computational Vision such as Image and Video Coding and Analysis, Image Watermarking, Noise Reduction and Cancellation, Block Matching and Motion Estimation, Tracking of Deformable Object using Steerable Pyramid Wavelet Transformation, Medical Image Fusion, CT and MRI Image Fusion based on Stationary Wavelet Transform. The book also covers articles from applications of soft computing techniques such as Target Searching and Tracking using Particle Swarm Optimization, PSO-based Functional Artificial Neural Network, etc. The book also covers article from the areas of Robotics such as Solar Power Robot Vehicle, Multi Robot Area Exploration, Intelligent Driving System based on Video Sequencing, Emotion Recognition using MLP Network, Identifying the Unstructured Environment.
Computational Visual Media: 12th International Conference, CVM 2024, Wellington, New Zealand, April 10–12, 2024, Proceedings, Part II (Lecture Notes in Computer Science #14593)
by Fang-Lue Zhang Andrei SharfThis book constitutes the refereed proceedings of CVM 2024, the 12th International Conference on Computational Visual Media, held in Wellington, New Zealand, in April 2024.The 34 full papers were carefully reviewed and selected from 212 submissions. The papers are organized in topical sections as follows:Part I: Reconstruction and Modelling, Point Cloud, Rendering and Animation, User Interations.Part II: Facial Images, Image Generation and Enhancement, Image Understanding, Stylization, Vision Meets Graphics.
Computational Visual Media: 12th International Conference, CVM 2024, Wellington, New Zealand, April 10–12, 2024, Proceedings, Part I (Lecture Notes in Computer Science #14592)
by Fang-Lue Zhang Andrei SharfThis book constitutes the refereed proceedings of CVM 2024, the 12th International Conference on Computational Visual Media, held in Wellington, New Zealand, in April 2024.The 34 full papers were carefully reviewed and selected from 212 submissions. The papers are organized in topical sections as follows:Part I: Reconstruction and Modelling, Point Cloud, Rendering and Animation, User Interations.Part II: Facial Images, Image Generation and Enhancement, Image Understanding, Stylization, Vision Meets Graphics.
Computationally Intelligent Systems and their Applications (Studies in Computational Intelligence #950)
by Jagdish Chand Bansal Marcin Paprzycki Monica Bianchini Sanjoy DasThis book covers all core technologies like neural networks, fuzzy systems, and evolutionary computation and their applications in the systems. Computationally intelligent system is a new concept for advanced information processing. The objective of this system is to realize a new approach for analyzing and creating flexible information processing of sensing, learning, recognizing, and action taking. Computational intelligent is a part of artificial intelligence (AI) which includes the study of versatile components to empower or encourage savvy practices in intricate and evolving situations. The computationally intelligent system highly relies on numerical information supplied by manufacturers unlike AI.
Computationally Intensive Statistics for Intelligent IoT (Studies in Autonomic, Data-driven and Industrial Computing)
by Debabrata Samanta Amit BanerjeeThe book covers computational statistics, its methodologies and applications for IoT device. It includes the details in the areas of computational arithmetic and its influence on computational statistics, numerical algorithms in statistical application software, basics of computer systems, statistical techniques, linear algebra and its role in optimization techniques, evolution of optimization techniques, optimal utilization of computer resources, and statistical graphics role in data analysis. It also explores computational inferencing and computer model's role in design of experiments, Bayesian analysis, survival analysis and data mining in computational statistics.
Computations and Computing Devices in Mathematics Education Before the Advent of Electronic Calculators (Mathematics Education in the Digital Era #11)
by Alexei Volkov Viktor FreimanThis volume traces back the history of interaction between the “computational” or “algorithmic” aspects of elementary mathematics and mathematics education throughout ages. More specifically, the examples of mathematical practices analyzed by the historians of mathematics and mathematics education who authored the chapters in the present collection show that the development (and, in some cases, decline) of counting devices and related computational practices needs to be considered within a particular context to which they arguably belonged, namely, the context of mathematics instruction; in their contributions the authors also explore the role that the instruments played in formation of didactical approaches in various mathematical traditions, stretching from Ancient Mesopotamia to the 20th century Europe and North America.
Compute-IT: Student's Book 2 - Computing For Ks3
by Mark Dorling George RouseCompute-IT will help you deliver innovative lessons for the new Key Stage 3 Computing curriculum with confidence, using resources and meaningful assessment produced by expert educators. With Compute-IT you will be able to assess and record students' attainment and monitor progression all the way through to Key Stage 4. Developed by members of Computing at School, the national subject association for Computer Science, and a team of Master Teachers who deliver CPD through the Network of Excellence project funded by the Department for Education, Compute-IT provides a cohesive and supportive learning package structured around the key strands of Computing. Creative and flexible in its approach, Compute-IT makes Computing for Key Stage 3 easy to teach, and fun and meaningful to learn, so you can:Follow well-structured and finely paced lessons along a variety of suggested routes through Key Stage 3Deliver engaging and interesting lessons using a range of files and tutorials provided for a range of different programming languages Ensure progression throughout Key Stage 3 with meaningful tasks underpinned by unparalleled teacher and student support Assess students' work with confidence, using ready-prepared formative and summative tasks that are mapped to meaningful learning outcomes and statements in the new Programme of StudyCreative and flexible in its approach, Compute-IT makes Computing for Key Stage 3 easy to teach, and fun and meaningful to learn. This is the second title in the Compute-IT course, which comprises three Student's Books, three Teacher Packs and a range of digital teaching and learning resources delivered through Dynamic Learning.
Compute-IT: Student's Book 3 - Computing for KS3
by Mark Dorling George RouseCompute-IT will help you deliver innovative lessons for the new Key Stage 3 Computing curriculum with confidence, using resources and meaningful assessment produced by expert educators. With Compute-IT you will be able to assess and record students' attainment and monitor progression all the way through to Key Stage 4. Developed by members of Computing at School, the national subject association for Computer Science, and a team of Master Teachers who deliver CPD through the Network of Excellence project funded by the Department for Education, Compute-IT provides a cohesive and supportive learning package structured around the key strands of Computing. Creative and flexible in its approach, Compute-IT makes Computing for Key Stage 3 easy to teach, and fun and meaningful to learn, so you can:Follow well-structured and finely paced lessons along a variety of suggested routes through Key Stage 3Deliver engaging and interesting lessons using a range of files and tutorials provided for a range of different programming languages Ensure progression throughout Key Stage 3 with meaningful tasks underpinned by unparalleled teacher and student support Assess students' work with confidence, using ready-prepared formative and summative tasks that are mapped to meaningful learning outcomes and statements in the new Programme of StudyCreative and flexible in its approach, Compute-IT makes Computing for Key Stage 3 easy to teach, and fun and meaningful to learn. This is the third title in the Compute-IT course, which comprises three Student's Books, three Teacher Packs and a range of digital teaching and learning resources delivered through Dynamic Learning.
Compute-IT 1: Computing for KS3
by Mark Dorling George RouseCompute-IT will help you deliver innovative lessons for the new Key Stage 3 Computing curriculum with confidence, using resources and meaningful assessment produced by expert educators. With Compute-IT you will be able to assess and record students' attainment and monitor progression all the way through to Key Stage 4. Developed by members of Computing at School, the national subject association for Computer Science, and a team of Master Teachers who deliver CPD through the Network of Excellence project funded by the Department for Education, Compute-IT provides a cohesive and supportive learning package structured around the key strands of Computing. Creative and flexible in its approach, Compute-IT makes Computing for Key Stage 3 easy to teach, and fun and meaningful to learn, so you can: Follow well-structured and finely paced lessons along a variety of suggested routes through Key Stage 3 Deliver engaging and interesting lessons using a range of files and tutorials provided for a range of different programming languages Ensure progression throughout Key Stage 3 with meaningful tasks underpinned by unparalleled teacher and student support Assess students' work with confidence, using ready-prepared formative and summative tasks that are mapped to meaningful learning outcomes and statements in the new Programme of Study Creative and flexible in its approach, Compute-IT makes Computing for Key Stage 3 easy to teach, and fun and meaningful to learn. This is the first title in the Compute-IT course, which comprises three Student's Books, three Teacher Packs and a range of digital teaching and learning resources delivered through Dynamic Learning.
Compute-IT: Student's Book 1 - Computing for KS3 (Compute-IT)
by George Rouse Graham Hastings Zoe Ross Carl Turland Genevieve Smith-Nunes Ilia Avroutine James Abela Mark Dorling Phil Bagge Sarah LawreyCompute-IT will help you deliver innovative lessons for the new Key Stage 3 Computing curriculum with confidence, using resources and meaningful assessment produced by expert educators. With Compute-IT you will be able to assess and record students' attainment and monitor progression all the way through to Key Stage 4. Developed by members of Computing at School, the national subject association for Computer Science, and a team of Master Teachers who deliver CPD through the Network of Excellence project funded by the Department for Education, Compute-IT provides a cohesive and supportive learning package structured around the key strands of Computing. Creative and flexible in its approach, Compute-IT makes Computing for Key Stage 3 easy to teach, and fun and meaningful to learn, so you can:Follow well-structured and finely paced lessons along a variety of suggested routes through Key Stage 3Deliver engaging and interesting lessons using a range of files and tutorials provided for a range of different programming languages Ensure progression throughout Key Stage 3 with meaningful tasks underpinned by unparalleled teacher and student support Assess students' work with confidence, using ready-prepared formative and summative tasks that are mapped to meaningful learning outcomes and statements in the new Programme of StudyCreative and flexible in its approach, Compute-IT makes Computing for Key Stage 3 easy to teach, and fun and meaningful to learn. This is the first title in the Compute-IT course, which comprises three Student's Books, three Teacher Packs and a range of digital teaching and learning resources delivered through Dynamic Learning.
Compute-IT: Student's Book 2 - Computing for KS3 (Compute-IT)
by Mark Dorling George RouseCompute-IT will help you deliver innovative lessons for the new Key Stage 3 Computing curriculum with confidence, using resources and meaningful assessment produced by expert educators. With Compute-IT you will be able to assess and record students' attainment and monitor progression all the way through to Key Stage 4. Developed by members of Computing at School, the national subject association for Computer Science, and a team of Master Teachers who deliver CPD through the Network of Excellence project funded by the Department for Education, Compute-IT provides a cohesive and supportive learning package structured around the key strands of Computing. Creative and flexible in its approach, Compute-IT makes Computing for Key Stage 3 easy to teach, and fun and meaningful to learn, so you can:Follow well-structured and finely paced lessons along a variety of suggested routes through Key Stage 3Deliver engaging and interesting lessons using a range of files and tutorials provided for a range of different programming languages Ensure progression throughout Key Stage 3 with meaningful tasks underpinned by unparalleled teacher and student support Assess students' work with confidence, using ready-prepared formative and summative tasks that are mapped to meaningful learning outcomes and statements in the new Programme of StudyCreative and flexible in its approach, Compute-IT makes Computing for Key Stage 3 easy to teach, and fun and meaningful to learn. This is the second title in the Compute-IT course, which comprises three Student's Books, three Teacher Packs and a range of digital teaching and learning resources delivered through Dynamic Learning.
Compute-IT: Student's Book 3 - Computing for KS3 (Compute-IT)
by Mark Dorling George RouseExam Board: OCR, AQA, Edexcel & WJECLevel: KS3Subject: MathematicsFirst Teaching: September 2015First Exam: June 2016Compute-IT will help you deliver innovative lessons for the new Key Stage 3 Computing curriculum with confidence, using resources and meaningful assessment produced by expert educators. With Compute-IT you will be able to assess and record students' attainment and monitor progression all the way through to Key Stage 4. Developed by members of Computing at School, the national subject association for Computer Science, and a team of Master Teachers who deliver CPD through the Network of Excellence project funded by the Department for Education, Compute-IT provides a cohesive and supportive learning package structured around the key strands of Computing. Creative and flexible in its approach, Compute-IT makes Computing for Key Stage 3 easy to teach, and fun and meaningful to learn, so you can:Follow well-structured and finely paced lessons along a variety of suggested routes through Key Stage 3Deliver engaging and interesting lessons using a range of files and tutorials provided for a range of different programming languages Ensure progression throughout Key Stage 3 with meaningful tasks underpinned by unparalleled teacher and student support Assess students' work with confidence, using ready-prepared formative and summative tasks that are mapped to meaningful learning outcomes and statements in the new Programme of StudyCreative and flexible in its approach, Compute-IT makes Computing for Key Stage 3 easy to teach, and fun and meaningful to learn. This is the third title in the Compute-IT course, which comprises three Student's Books, three Teacher Packs and a range of digital teaching and learning resources delivered through Dynamic Learning.
Computer
by William Aspray Martin Campbell-KellyComputer: A History of the Information Machine, Second Edition traces the story of the computer, and shows how business and government were the first to explore its unlimited, information-processing potential. Old-fashioned entrepreneurship combined with scientific know-how inspired now famous computer engineers to create the technology that became IBM. Wartime needs drove the giant ENIAC, the first fully electronic computer. Later, the PC enabled modes of computing that liberated people from room-sized, mainframe computers. This second edition now extends beyond the development of Microsoft Windows and the Internet, to include open source operating systems like Linux, and the rise again and fall and potential rise of the dot.com industries.