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Learn to Solder: Tools and Techniques for Assembling Electronics
by Brian Jepson Tyler Moskowite Gregory HayesLearn the fundamentals of soldering—and pick up an essential skill for building electronic gadgets. You’ll discover how to preheat and tin your iron, make a good solder joint, desolder cleanly (when things don't quite go right), and how to use helping hands to hold components in place.This concise book is part of MAKE’s Getting Started with Soldering Kit. Using the tools in the kit and some electronic components, you can practice soldering while making fun blinky objects. Then show the world you just learned a new skill by wearing the Learn to Solder Skill Badge.Learn how to prepare your workspaceGet to know the components you’ll work withUse the best methods for soldering components in placeExperience the perfect solder jointKnow how to desolder when things don’t work the first timeHeat up the iron and start soldering today!
Learned and Applied Soil Mechanics: A tribute to Dr Arnold Verruijt, TUD
by Frans B.J. Barends Paola M.P.C. SteijgerA tribute to Professor Dr Arnold Verruijt, on the occasion of his retirement as professor in soil mechanics at the Technical University of Delft, this book is divided into five chapters covering: groundwater flow, consolidation, numerical methods, geodynamics and geostatics.
Learner Autonomy and CALL Environments (Routledge Studies in Computer Assisted Language Learning #Vol. 3)
by Klaus SchwienhorstThis volume brings together two prominent strands in second language acquisition theory and research: the concept of learner autonomy and computer-assisted language learning (CALL). Learner autonomy supports learners in becoming more reflective and communicative and in experimenting with language and language learning. CALL environments offer more and qualitatively different opportunities for learner autonomy than the traditional language classroom. This book offers researchers a starting point into researching learner autonomy in CALL contexts and offers teachers practical advice on chances and pitfalls in realizing learner autonomy goals in the CALL-supported classroom.
Learner-Centered Instructional Design and Evaluation: Principles for Flexible, Ubiquitous, Agnostic Learning in Higher Education
by Rasha AlOkailyLearner-Centered Instructional Design and Evaluation offers a forward-thinking, evidence-based vision of technology-enhanced higher education that taps into today’s digital access opportunities for more dynamic, agnostic, and inclusive learning experiences. The recent ubiquity of digital devices has fostered a new generation of learners who are technologically adept, engage in rapid social co-construction of knowledge, and expect increased choice and personalisation of educational content and environment. Colleges and universities, however, continue to apply their technology tools into outdated, passive pedagogies. Based on theory and empirical research, this book’s innovative framework guides scholars and practitioners toward instructional design and evaluation approaches that leverage the anytime-anywhere potential of wireless networked devices to foster flexible learning experiences and device-neutral assignments. Each chapter is rich with designs, deliveries, and evaluations of lesson plans, projects, and other real-world course works exemplifying the procedures and principles that will rejuvenate learning amid the globalisation, commodification, and massification of higher education.
The Learner-Centered Instructional Designer: Purposes, Processes, and Practicalities of Creating Online Courses in Higher Education
by Jerod Quinn Flower Darby“What does a new instructional designer need to know to find her or his feet when working with faculty to create online classes?” This is a practical handbook for established and aspiring instructional designers in higher education, readers who may also be identified by such professional titles as educational developer, instructional technologist, or online learning specialist. Jerod Quinn, together with a team of experienced instructional designers who have worked extensively with a wide range of faculty on a multiplicity of online courses across all types of institutions, offer key guiding principles, insights and advice on how to develop productive and collegial partnerships with faculty to deliver courses that engage students and promote enduring learning.Designing and developing online classes for higher education takes a combination of pedagogical knowledge, the ability to build trust with faculty, familiarity with frameworks on how people learn, understanding of accessibility and inclusion, and technical skills to leverage a learning management system into an educational experience. Coming from diverse backgrounds, few instructional designers enter academia well versed in all of these aspects of creating online classes. This book provides the foundation on which instructional designers can build their careers. The guiding principle that animates this book is that the student experience and successful learning outcomes are paramount, and governs discussion of course design, pedagogy, the use of multimedia and technological advances, as well as the use of different forms of interactive exercises and group assignments. The succinct, informally written chapters offer ideas and means to apply theory to the daily work of instructional design and cover the four key components that drive this work in higher education: ·Defining the scope and main design approaches of our work·Building trust with the faculty we work with·Applying frameworks of how people learn·Mastering common online instructional practices.
Learner-Centered Theory and Practice in Distance Education: Cases From Higher Education
by Thomas M. Duffy Jamie R. KirkleyLearner-Centered Theory and Practice in Distance Education: Cases From Higher Education brings the voice of the learning sciences to the study and design of distance learning. The contributors examine critical issues in the design of theoretically and pedagogically based distance education programs. Eight distance education programs are described in enough detail to allow readers with different interests to understand the pedagogical approaches and the implications of implementing those approaches. Issues of theory, pedagogy, design, assessment, communities of practice, collaboration, and faculty development are discussed.Each section of the book includes: *a primary chapter written by an author or authors involved with a distance education program that reflects learner-centered principles;*a formal reaction to the chapter by a specialist from the learning sciences, educational evaluation and policy, administration, or the corporate sector with expertise in issues of distance learning; and *an edited transcript of the authors' discussion of the primary chapter held at a symposium at the Asilomar Conference Center. A final "summing up" section offers two perspectives--from leading scholars outside the fields of instructional design, evaluation, and the learning sciences--on the approaches and thinking reflected in the rest of the book. This book is essential for researchers, as well as all those engaged in delivering, supporting, or administrating distance education programs at the post-secondary level. The descriptions, strategies, and principles will inform the design of continuing education, as well as degree-based education and corporate education and training, and distance education programs for adults.
A Learner’s Guide to Fuzzy Logic Systems, Second Edition
by K SundareswaranThis book presents an introductory coverage of fuzzy logic, including basic principles from an interdisciplinary perspective. It includes concept of evolving a fuzzy set and fuzzy set operations, fuzzification rule base design and defuzzification and simple guidelines for fuzzy sets design and selected applications. Preliminary concepts of Neural Networks and Genetic Algorithm are added features with relevant examples and exercises. It is primarily intended for undergraduate and postgraduate students and researchers to facilitate education in the ever-increasing field of fuzzy logic as medium between human intelligence and machine.
Learning Across Sites: New Tools, Infrastructures and Practices (New Perspectives on Learning and Instruction)
by Sten LudvigsenThe ever evolving, technology-intensive nature of the twenty-first century workplace has caused an acceleration in the division of labour, whereby work practices are becoming highly specialised and learning and the communication of knowledge is in a constant state of flux. This poses a challenge for education and learning: as knowledge and expertise increasingly evolve, how can individuals be prepared through education to participate in specific industries and organisations, both as newcomers and throughout their careers? Learning Across Sites brings together a diverse range of contributions from leading international researchers to examine the impacts and roles which evolving digital technologies have on our navigation of education and professional work environments. Viewing learning as a socially organised activity, the contributors explore the evolution of learning technologies and knowledge acquisition in networked societies through empirical research in a range of industries and workplaces. The areas of study include public administration, engineering, production, and healthcare and the contributions address the following questions: How are learning activities organised? How are tools and infrastructures used? What competences are needed to participate in specialised activities? What counts as knowledge in multiple and diverse settings? Where can parallels be drawn between workplaces? Addressing an emerging problem of adaptation in contemporary education, this book is essential reading for all those undertaking postgraduate study and research in the fields of educational psychology, informatics and applied information technology.
Learning Algorithms: Theory and Applications in Signal Processing, Control and Communications
by P. MarsOver the past decade, interest in computational or non-symbolic artificial intelligence has grown. The algorithms involved have the ability to learn from past experience, and therefore have significant potential in the adaptive control of signals and systems. This book focuses on the theory and applications of learning algorithms-stochastic learning automata; artificial neural networks; and genetic algorithms, evolutionary strategies, and evolutionary programming. Hybrid combinations of various algorithms are also discussed.Chapter 1 provides a brief overview of the topics discussed and organization of the text. The first half of the book (Chapters 2 through 4) discusses the basic theory of the learning algorithms, with one chapter devoted to each type. In the second half (Chapters 5 through 7), the emphasis is on a wide range of applications drawn from adaptive signal processing, system identification, and adaptive control problems in telecommunication networks.Learning Algorithms: Theory and Applications in Signal Processing, Control and Communications is an excellent text for final year undergraduate and first year graduate students in engineering, computer science, and related areas. Professional engineers and everyone involved in the application of learning techniques in adaptive signal processing, control, and communications will find this text a valuable synthesis of theory and practical application of the most useful algorithms.
Learning Algorithms for Internet of Things: Applying Python Tools to Improve Data Collection Use for System Performance (Maker Innovations Series)
by G.R. Kanagachidambaresan N. BharathiThe advent of Internet of Things (IoT) has paved the way for sensing the environment and smartly responding. This can be further improved by enabling intelligence to the system with the support of machine learning and deep learning techniques. This book describes learning algorithms that can be applied to IoT-based, real-time applications and improve the utilization of data collected and the overall performance of the system. Many societal challenges and problems can be resolved using a better amalgamation of IoT and learning algorithms. “Smartness” is the buzzword that is realized only with the help of learning algorithms. In addition, it supports researchers with code snippets that focus on the implementation and performance of learning algorithms on IoT based applications such as healthcare, agriculture, transportation, etc. These snippets include Python packages such as Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, and more. Learning Algorithms for Internet of Things provides you with an easier way to understand the purpose and application of learning algorithms on IoT. What you’ll Learn Supervised algorithms such as Regression and Classification. Unsupervised algorithms, like K-means clustering, KNN, hierarchical clustering, principal component analysis, and more. Artificial neural networks for IoT (architecture, feedback, feed-forward, unsupervised). Convolutional neural networks for IoT (general, LeNet, AlexNet, VGGNet, GoogLeNet, etc.). Optimization methods, such as gradient descent, stochastic gradient descent, Adagrad, AdaDelta, and IoT optimization. Who This Book Is For Students interested in learning algorithms and their implementations, as well as researchers in IoT looking to extend their work with learning algorithms
Learning Analytics: Fundaments, Applications, and Trends
by Alejandro Peña-AyalaThis book provides a conceptual and empirical perspective on learning analytics, its goal being to disseminate the core concepts, research, and outcomes of this emergent field. Divided into nine chapters, it offers reviews oriented on selected topics, recent advances, and innovative applications. It presents the broad learning analytics landscape and in-depth studies on higher education, adaptive assessment, teaching and learning. In addition, it discusses valuable approaches to coping with personalization and huge data, as well as conceptual topics and specialized applications that have shaped the current state of the art. By identifying fundamentals, highlighting applications, and pointing out current trends, the book offers an essential overview of learning analytics to enhance learning achievement in diverse educational settings. As such, it represents a valuable resource for researchers, practitioners, and students interested in updating their knowledge and finding inspirations for their future work.
Learning Analytics Cookbook: How to Support Learning Processes Through Data Analytics and Visualization (SpringerBriefs in Business Process Management)
by Roope Jaakonmäki Stefan Dietze Hendrik Drachsler Albrecht Fortenbacher René Helbig Michael Kickmeier-Rust Ivana Marenzi Angel Suarez Haeseon Yun Jan vom BrockeThis book offers an introduction and hands-on examples that demonstrate how Learning Analytics (LA) can be used to enhance digital learning, teaching and training at various levels. While the majority of existing literature on the subject focuses on its application at large corporations, this book develops and showcases approaches that bring LA closer to smaller organizations, and to educational institutions that lack sufficient resources to implement a full-fledged LA infrastructure. In closing, the book introduces a set of software tools for data analytics and visualization, and explains how they can be employed in several LA scenarios.
Learning Analytics Goes to School: A Collaborative Approach to Improving Education
by Andrew Krumm Barbara Means Marie BienkowskiLearning Analytics Goes to School presents a framework for engaging in education research and improving education practice through the use of newly available data sources and analytical approaches. The application of data-intensive research techniques to understanding and improving learning environments has been growing at a rapid pace. In this book, three leading researchers convey lessons from their own experiences—and the current state of the art in educational data mining and learning analytics more generally—by providing an explicit set of tools and processes for engaging in collaborative data-intensive improvement.
Learning Analytics in Open and Distributed Learning: Potential and Challenges (SpringerBriefs in Education)
by Paul Prinsloo Sharon Slade Mohammad KhalilThis book explores and further expands on the rich history of theoretical and empirical research in open and distributed learning, and addresses the impact of the “data revolution” and the emergence of learning analytics on this increasingly diverse form of educational delivery. Following an introductory chapter that maps the book’s conceptual rationale, the book discusses the potential, challenges and practices of learning analytics in various open and distributed contexts. A concluding chapter briefly summarises the chapters before providing a tentative future research agenda for learning analytics in open and distributed environments.
Learning Analytics Methods and Tutorials: A Practical Guide Using R
by Sonsoles López-Pernas Mohammed SaqrThis open access comprehensive methodological book offers a much-needed answer to the lack of resources and methodological guidance in learning analytics, which has been a problem ever since the field started. The book covers all important quantitative topics in education at large as well as the latest in learning analytics and education data mining. The book also goes deeper into advanced methods that are at the forefront of novel methodological innovations. Authors of the book include world-renowned learning analytics researchers, R package developers, and methodological experts from diverse fields offering an unprecedented interdisciplinary reference on novel topics that is hard to find elsewhere.The book starts with the basics of R as a programming language, the basics of data cleaning, data manipulation, statistics, and analytics. In doing so, the book is suitable for newcomers as they can find an easy entry to the field, as well as being comprehensive of all the major methodologies. For every method, the corresponding chapter starts with the basics, explains the main concepts, and reviews examples from the literature. Every chapter has a detailed explanation of the essential techniques and basic functions combined with code and a full tutorial of the analysis with open-access real-life data. A total of 22 chapters are included in the book covering a wide range of methods such as predictive learning analytics, network analysis, temporal networks, epistemic networks, sequence analysis, process mining, factor analysis, structural topic modeling, clustering, longitudinal analysis, and Markov models. What is really unique about the book is that researchers can perform the most advanced analysis with the included code using the step-by-step tutorial and the included data without the need for any extra resources.This is an open access book.
Learning and Collaboration Technologies: 8th International Conference, LCT 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings, Part I (Lecture Notes in Computer Science #12784)
by Panayiotis Zaphiris Andri IoannouThis two-volume set LNCS 12784 and 12785 constitutes the refereed proceedings of the 8th International Conference on Learning and Collaboration Technologies, LCT 2021, held as Part of the 23rd International Conference, HCI International 2021, which took place in July 2021. Due to COVID-19 pandemic the conference was held virtually.The total of 1276 papers and 241 poster papers included in the 39 HCII 2021 proceedings volumes was carefully reviewed and selected from 5222 submissions. The regular papers of LCT 2021, Part I, are organized in topical sections named: Designing and Developing Learning Technologies; Learning, Teaching and Collaboration Experiences; On-line vs. in Class Learning in Pandemic Times.
Learning and Collaboration Technologies: 8th International Conference, LCT 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings, Part II (Lecture Notes in Computer Science #12785)
by Panayiotis Zaphiris Andri IoannouThis two-volume set LNCS 12774 and 12775 constitutes the refereed proceedings of the 8th International Conference on Learning and Collaboration Technologies, LCT 2021, held as Part of the 23rd International Conference, HCI International 2021, which took place in July 2021. Due to COVID-19 pandemic the conference was held virtually. The total of 1276 papers and 241 poster papers included in the 39 HCII 2021 proceedings volumes was carefully reviewed and selected from 5222 submissions. The regular papers of LCT 2021, Part II, focus on Games and Gamification in Learning; Chatbots in Learning; AR, VR and Robots in Learning.
Learning and Collaboration Technologies: Third International Conference, LCT 2016, Held as Part of HCI International 2016, Toronto, ON, Canada, July 17-22, 2016, Proceedings (Lecture Notes in Computer Science #9753)
by Panayiotis Zaphiris Andri IoannouThis book constitutes the refereed proceedings of the Third International Conference on Learning and Collaboration Technologies, LCT 2016, held as part of the 18th International Conference on Human-Computer Interaction, HCII 2016, in Toronto, Canada, in July 2016, in conjunction with 14 thematically similar conferences. The 1287 papers presented at the HCII 2016 conferences were carefully reviewed and selected from 4354 submissions. The papers cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The papers included in this volume are organized in the following thematic sections: instructional design; interaction techniques and platforms for learning; learning performance; web-based, mobile and ubiquitous learning; intelligent learning environments; learning technologies; collaboration technologies; and cultural and social aspects of learning and collaboration technologies.
Learning and Collaboration Technologies: 10th International Conference, LCT 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings, Part I (Lecture Notes in Computer Science #14040)
by Panayiotis Zaphiris Andri IoannouThis two-volume set of LCT 2023, constitutes the refereed proceedings of the 10th International Conference on Learning and Collaboration Technologies, LCT 2023, held as Part of the 24th International Conference, HCI International 2023, which took place in July 2023 in Copenhagen, Denmark.The total of 1578 papers and 396 posters included in the HCII 2023 proceedings volumes was carefully reviewed and selected from 7472 submissions. The papers of LCT 2022 Part I are organized in topical sections named: Designing Learning Experiences; Understanding the Learning Experience; Technology-supported Teaching; Supporting Creativity in Learning.
Learning and Collaboration Technologies. Design, Development and Technological Innovation: 5th International Conference, LCT 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings, Part I (Lecture Notes in Computer Science #10924)
by Panayiotis Zaphiris Andri IoannouThis two-volume set LNCS 10924 and 10925 constitute the refereed proceedings of the 5th International Conference on Learning and Collaboration Technologies, LCT 2018, held as part of the 20th International Conference on Human-Computer Interaction, HCII 2018, in Las Vegas, NV, USA in July 2018. The 1171 papers presented at HCII 2018 conferences were carefully reviewed and selected from 4346 submissions. The papers cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of applications areas. The papers in this volume are organized in the following topical sections: designing and evaluating systems and applications, technological innovation in education, learning and collaboration, learners, engagement, motification, and skills, games and gamification of learning, technology-enhanced teaching and assessment, computing and engineering education.
Learning and Collaboration Technologies. Designing, Developing and Deploying Learning Experiences: 7th International Conference, LCT 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part I (Lecture Notes in Computer Science #12205)
by Panayiotis Zaphiris Andri IoannouThis two-volume set LNCS 12205 and LNCS 12206 constitutes the proceedings of the 7th International Conference on Learning and Collaboration Technologies, LCT 2020, held as part of the 22nd International Conference, HCI International 2020, which took place in Copenhagen, Denmark, in July 2020.The total of 1439 papers and 238 posters included in the 37 HCII 2020 proceedings volumes was carefully reviewed and selected from 6326 submissions.The papers in this volume are organized in the following topical sections: designing and evaluating learning experiences; learning analytics, dashboards and learners models; language learning and teaching; and technology in education: policies and practice. As a result of the Danish Government's announcement, dated April 21, 2020, to ban all large events (above 500 participants) until September 1, 2020, the HCII 2020 conference was held virtually.
Learning and Collaboration Technologies. Designing Learning Experiences: 6th International Conference, LCT 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, Proceedings, Part I (Lecture Notes in Computer Science #11590)
by Panayiotis Zaphiris Andri IoannouThis two-volume set LNCS 11590 and 11591 constitutes the refereed proceedings of the 6th International Conference on Learning and Collaboration Technologies, LCT 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCII 2019, in Orlando, FL, USA in July 2019. The 1274 full papers and 209 posters presented at the HCII 2019 conferences were carefully reviewed and selected from 5029 submissions. The papers cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of applications areas. The papers in this volume are organized in the following topical sections: designing and evaluating learning experiences; theoretical and pedagogical approaches in technology-enhanced learning; cognitive and psychological issues in learning; and technology in STEM education.
Learning and Collaboration Technologies. Designing the Learner and Teacher Experience: 9th International Conference, LCT 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Virtual Event, June 26 – July 1, 2022, Proceedings, Part I (Lecture Notes in Computer Science #13328)
by Panayiotis Zaphiris Andri IoannouThis proceedings, LCT 2022, constitutes the refereed proceedings of the 9th International Conference on Learning and Collaboration Technologies, LCT 2022, held as Part of the 24th International Conference, HCI International 2022, which took place in June/July 2022. Due to COVID-19 pandemic the conference was held virtually.The total of 1271 papers and 275 poster papers included in the 39 HCII 2022 proceedings volumes was carefully reviewed and selected from 5487 submissions. The papers of LCT 2022 are organized in topical sections named: Designing and Developing Learning Technologies; Learning and Teaching Online; Diversity in Learning; Technology in Education: Practices and Experiences.
Learning and Collaboration Technologies. Learning and Teaching: 5th International Conference, LCT 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings, Part II (Lecture Notes in Computer Science #10925)
by Panayiotis Zaphiris Andri IoannouThis two-volume set LNCS 10924 and 10925 constitute the refereed proceedings of the 5th International Conference on Learning and Collaboration Technologies, LCT 2018, held as part of the 20th International Conference on Human-Computer Interaction, HCII 2018, in Las Vegas, NV, USA in July 2018. The 1171 papers presented at HCII 2018 conferences were carefully reviewed and selected from 4346 submissions. The papers cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of applications areas. The papers in this volume are organized in the following topical sections: designing and evaluating systems and applications, technological innovation in education, learning and collaboration, learners, engagement, motification, and skills, games and gamification of learning, technology-enhanced teaching and assessment, computing and engineering education.
Learning and Collaboration Technologies. Novel Learning Ecosystems
by Panayiotis Zaphiris Andri IoannouThe two-volume set LNCS 10295 and 10296 constitute the refereed proceedings of the 4th International Conference on Learning and Collaboration Technologies, LCT 2017, held as part of the 19th International Conference on Human-Computer Interaction, HCII 2017, in Vancouver, BC, Canada, in July 2017, in conjunction with 15 thematically similar conferences. The 1228 papers presented at the HCII 2017 conferences were carefully reviewed and selected from 4340 submissions.The papers cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The papers included in this volume are organized in the following topical sections: multimodal and natural interaction for learning; learning and teaching ecosystems; e-learning, social media and MOOCs; beyond the classroom; and games and gamification for learning.