Educational equipment and technology, computer-aided learning (CAL) Books
Taylor & Francis Technology and Testing
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£50.34
Taylor & Francis Ltd Technology and Digital Media in the Early Years
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£166.25
Taylor & Francis Ltd Reinventing Writing The 9 Tools That Are Changing Writing Teaching and Learning Forever Eye on Education Books
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£28.99
Taylor & Francis Ltd Engaged Connected Empowered
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£84.99
Taylor & Francis Ltd Reinventing Writing The 9 Tools That Are Changing Writing Teaching and Learning Forever
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£104.50
Taylor & Francis Flipping Your English Class to Reach All Learners Strategies and Lesson Plans
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£104.50
Taylor & Francis Its Not What You Teach But How
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£80.74
Taylor & Francis Ltd Mobile Learning and Mathematics
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£128.25
Taylor & Francis Ltd Mobile Learning and Mathematics
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£46.54
Taylor & Francis Ltd Technology in the Middle and Secondary Social Studies Classroom
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£46.54
Taylor & Francis Ltd New Traditional Games for Learning A Case Book
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£46.54
Taylor & Francis Social Entrepreneurship
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£199.50
Taylor & Francis Social Entrepreneurship
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£63.64
Taylor & Francis Learning with Mobile and Handheld Technologies
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£128.25
Taylor & Francis Ltd Learning with Mobile and Handheld Technologies
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£34.19
Taylor & Francis Teaching and Learning with Technology
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£49.39
Taylor & Francis Teaching and Learning with Technology
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£147.25
Taylor & Francis WorldCALL International Perspectives on ComputerAssisted Language Learning 05 Routledge Studies in Computer Assisted Language Learning
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£156.75
Taylor & Francis ETivities
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£137.75
Taylor & Francis Ltd Etivities The Key to Active Online Learning
Book SynopsisThe world of learning and teaching is at a watershed; confronted by challenges to previous educational models. One learning future lies in impactful, purposeful, active online activities, or e-tivities', that keep learners engaged, motivated, and participating. Grounded in the author's action research, E-tivities, 2nd Edition assuredly illustrates how technologies shape and enhance learning and teaching journeys. In this highly practical book, Gilly Salmon maintains her exceptional reputation, delivering another powerful guide for academics, teaching professionals, trainers, designers and developers in all disciplines. This popular text has been comprehensively updated; addressing key technological changes since 2002, offering fresh case studies and Carpe Diem' - a unique approach to learning design workshops. Readers will find E-tivities, 2nd Edition a wonderful resource on its own or as a companion to the author's bestselling e-ModeTrade ReviewIncorporating this content into graduate programs is a key component in creating change, since current and future faculty members and policymakers must have the tools to deconstruct and challenge dominant discourses if there can be any hope of understanding the power and consequences involved in applying this knowledge to policy creation. - Casandra E. Harper, Feminist Formations “At a time when higher education is struggling to take advantage of the many technological innovations available to it, this timely and thought-provoking second edition of E-tivities envisions a new way to deliver curriculum. The book is written in a user friendly and accessible style, challenging thinking not to merely shift from ‘traditional’ teaching to technologically supported learning, but to re-think the learning process and conceptualise content and delivery differently, in an e-form. Making a sound conceptual argument, the author makes exceptional use of case studies and guided thinking for the development of e-tivities, including the use of open educational resources. This is a must read not only for the practitioner wanting to change, but for institutional leaders as well.”—Craig Mahoney, Chief Executive, Higher Education Academy, UK "Everywhere I go in the world I meet people grateful for the first edition of this book. With even more e-tivities and wise advice, built on years of experience, this second edition will have us all going back for more, to further improve our online teaching and support."—Diana Laurillard, Professor of Learning with Digital Technology, London Knowledge Lab, Institute of Education, UK "If the collective wisdom of the past few decades of online learning could be distilled and condensed into one easy-to-read book, it would be this one. As Gilly Salmon shows, there is no end to the technological tools that can be incorporated into one’s online courses and programs. However, there is also no need to be lost, frustrated, or uncertain when working in online environments. The second edition of E-tivities is a powerful guide, which lays out an immense set of possibilities while offering a framework in which to make sense of them all."—Curt Bonk, President of CourseShare, LLC, and Professor of Instructional Systems Technology in the School of Education at Indiana University, USA "Gilly Salmon's challenge for us to be part of the Quantum Generation of learning design frames the field’s biggest question: what constitutes and redefines effective learning in the digital age? In a remarkably concise way, Salmon overviews the enormous changes in the decade since her first edition before outlining many helpful approaches. This new edition speaks to all those interested in making sense of the opportunities and potential pitfalls of learning in the digital age. This is a must-read!"—David Sadler, Deputy Vice Chancellor for Students & Education, University of Tasmania, Australia Table of ContentsPreface Part 1: Introducing e-tivities 1. E-tivities for active online learning 2. E-tivities in the five stage model 3. Creating e-tivities 4. Choices: The technology spectrum 5. Deploying e-tivities: A team approach Part II: Resources for practitioners Ideas 1. Ideas for e-tivities 2. Creativity and e-tivities 3. Using other people's digital materials (OER's) Designing e-tivities 4. First-time e-tivity designer 5. E-tivity exemplars (?) 6. E-tivity continuum Structures 7. E-tivity planning 8. Building programs and processes with e-tivities 9. Time Estimates 10. Counting the delivery time Writing Invitations 11. Correspondence Protocol 12. Learning 'Netspeak' Development and Improvement 13. Building motivating e-tivities 14. Online emotions 15. More intelligent e-tivities 16. Disabilities and e-tivities Participants Experience 17. Contributions 18. Patterns of participation 19. Flow and e-tivities 20. E-tivity feedback and plenaries Carpe Diem 21. The Carpe Diem Process 22. Becoming a Carpe Diem Facilitator 23. The Carpe Diem Planning Process 24. Reality Checkers
£37.04
Taylor & Francis Education Networks
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£147.25
Taylor & Francis Education Networks
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£42.99
Taylor & Francis Teaching English Language Learners through Technology
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£166.25
Taylor & Francis Teaching English Language Learners through Technology
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£39.99
Taylor & Francis Ltd Play Creativity and Digital Cultures
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£137.75
Taylor & Francis Ltd South Africa and the International Media 19721979 A Struggle for Representation
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£128.25
Taylor & Francis Ltd Successful Instructional Diagrams Key Topics in Educational Training Technology S
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£45.59
Taylor & Francis Implementing Computing Supported Cooperative Learning
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£24.51
Taylor & Francis Delivering Learning on the Net
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£54.14
Taylor & Francis Ltd The Sociology of Mathematics Education
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£44.64
Taylor & Francis Videogames and Education History Humanities and New Technology
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£128.25
Taylor & Francis Videogames and Education History Humanities and New Technology
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£43.99
Taylor & Francis Ltd Best Ideas for Teaching with Technology A Practical Guide for Teachers by Teachers
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£128.25
Taylor & Francis Ltd Best Ideas for Teaching with Technology A Practical Guide for Teachers by Teachers
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£42.99
Taylor & Francis Sustaining Mobile Learning
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£44.64
Taylor & Francis Ltd Data Analytics and Adaptive Learning
Book SynopsisData Analytics and Adaptive Learning offers new insights into the use of emerging data analysis and adaptive techniques in multiple learning settings. In recent years, both analytics and adaptive learning have helped educators become more responsive to learners in virtual, blended, and personalized environments. This set of rich, illuminating, international studies spans quantitative, qualitative, and mixed-methods research in higher education, K12, and adult/continuing education contexts. By exploring the issues of definition and pedagogical practice that permeate teaching and learning and concluding with recommendations for the future research and practice necessary to support educators at all levels, this book will prepare researchers, developers, and graduate students of instructional technology to produce evidence for the benefits and challenges of data-driven learning.Trade Review"This book is an essential guide to the promise and practice of data analytics and adaptive learning in higher education. These pioneers and practitioners share valuable insights all institutions can use to enhance learning and student success."—Diana G. Oblinger, Ph.D., President Emeritus, EDUCAUSE"Impacts on learning we called overdetermined can now be parsed but need an informed judgment rising to the complexities involved. Data Analytics and Adaptive Learning, a collection of the very best thinking about both, provides just that, rendering the (potentially) all-seeing and hyper-focused approaches of DA and AL fruitful, humane, transformative."—George Otte, former University Director of Academic Technology, The City University of New York"At last: a book by education experts about the use of digital Information and Communication Technologies (ICTs) not only for lowering the friction in data, but for processing information to help teachers and students. This can be the beginning of a more radical change in education."—Anders Norberg, Coordinator of the ERASMUS+ALBATTS Blueprint project for development of innovative education for the emerging European battery and electromobility value chain (ERASMUS is a European Union Initiative for Education Mobility and Development)"Digital learning is the new normal in higher education. The group of experts assembled in this book share important ideas and trends related to learning analytics and adaptive learning that will surely influence all of our digital learning environments in the future."—Charles R. Graham, Professor, Department of Instructional Psychology and Technology, Brigham Young University "The concept of personalized and adaptive learning has long been touted but seldom enacted in education at scale. Data Analytics and Adaptive Learning brings together a compelling set of experts that provide novel and research informed insights into contemporary education spaces."—Professor Shane Dawson, Executive Dean Education Futures, University of South Australia"Moskal, Dziuban, and Picciano challenge the reader to keep the student at the center and imagine how data analytics and adaptive learning can be mutually reinforcing in closing the gap between students from different demographics."—Susan Rundell Singer, Vice President for Academic Affairs and Provost, Rollins College, former Division Director for Undergraduate Education at the National Science Foundation"We are currently living in a digital age where higher education institutions have an abundance of accessible data. This book contains a series of chapters that provide insight and strategies for using data analytics and adaptive learning to support student success and satisfaction."—Dr. Norman Vaughan, Professor of Education, Mount Royal University, Calgary, Alberta, Canada"An important book that comes at a critical moment in higher education. We are swimming in an ocean of data and this book from some of the country’s top researchers and practitioners will help us make sense of it and put it in the service of student success." —Thomas Cavanagh, Ph.D. Vice Provost for Digital Learning, University of Central Florida"Data Analytics and Adaptive Learning is an excellent addition to the canon of literature in this field. The book offers several valuable perspectives and innovative ways of approaching both new and old problems to improve organizational outcomes."—Jeffrey S. Russell, P.E., Ph.D., Dist.M.ASCE, NAC, F.NSPE, Vice Provost for Lifelong Learning, Dean for Div. of Continuing Studies, University of Wisconsin-Madison"Data is used to customize experiences from buying an item to booking travel. What about learning—a uniquely human endeavor? This book contextualizes the complex answers to that question shedding light on areas with promise: learning analytics, adaptive learning and the use of big data."—Dale Whittaker, Senior Program Officer in Post-Secondary Success, Bill and Melinda Gates Foundation"Data Analytics and Adaptive Learning presents a timely and wide-ranging consideration of the progress of adaptive learning and analytics in levelling the educational playing field, while providing necessary cautions regarding the drawing of too many conclusions in what is still a nascent area."—Frank Claffey, Chief Product Officer, Realizeit Learning"Data Analytics and Adaptive Learning provides insights and best practices from leaders in digital learning who outline considerations for strategies, change management, and effective decision making related to data. As higher education expands its work in digital learning and utilizing data for decisions, this book is a must read!"—Dr. Connie Johnson, Chancellor, Colorado Technical University"Data analytics and adaptive learning compromise two of the most relevant educational challenges. This book provides excellent research approaches and analysis to answer practical questions related to digital education involving teachers and learners"—Josep M Duart & Elsa Rodriguez, Editor-in-Chief & Editorial Manager of the International Journal of Educational technology in Higher Education, the Universitat Oberta de Catalunya (UOC)"Data, analytics, and machine learning are impacting all jobs and industries. For education, the opportunities are immense, but so are the challenges. This book provides an essential view into the possibilities and pitfalls. If you want to use data to impact learners positively, this book is a must-read."—Colm Howlin, PhD, Chief Data Scientist, ReliaQuest"Data Analytics and Adaptive Learning helps the educational community broaden its understanding of these two technology-based opportunities to enhance education, looking at very different complementary contributions. Congratulations to the authors."—Alvaro Galvis, professor at University of Los Andes, Bogotá"The menus, dashboards, and pathways to effective data analytics and adaptive learning can be found in this massively timely and hugely impactful juggernaut."—Curtis J. Bonk, Professor of Instructional Systems Technology and adjunct in the School of Informatics, Indiana University Bloomington"Adaptive learning and learning analytics – should we use both or choose one? Do they imply organizational transformation? What works and what does not? In my opinion, the book is valuable reading for those seeking the answers to their questions."—Maria Zajac, Associate Professor (emeritus) at Pedagogical University Cracow and SGH Warsaw School of Economics, Certified Instructional Designer, Poland "Data analytics and adaptive learning platforms can direct support as needed to at-risk students, helping to create more equitable outcomes. This volume contains a timely collection of studies that examine the impact of these approaches."—John Kane, Director of the Center for Excellence in Learning and Teaching at SUNY Oswego."This book shines a spotlight on the potential for data analytics, adaptive learning and big data to transform higher education. The volume lights the way for those brave enough to embrace a new paradigm of teaching and learning that enacts a more equitable and person-centered experience for all learners."—Paige McDonald, Associate Professor and Vice Chair, Department of Clinical Research and Leadership, The George Washington School of Medicine and Health Sciences"Deftly weaving adaptive learning and analytic theory and practice together, the authors offer numerous examples of how these methods can help us address academic barriers to student success. Their work significantly strengthens the fabric of knowledge on how adaptive learning can benefit students (and faculty)." —Dale P. Johnson, Director of Digital Innovation, University Design Institute, Arizona State University"The authors of this book convince us that the concepts of data analytics and adaptive learning are tightly integrated, and the book provides insights on different aspects related to utilization of intelligent technologies and how to approach the learning cycle at different stages." —Eli Hustad, Professor in Information Systems, The University of Agder"Student success is a fundamental mission for all educational institutions. This book explores the current opportunities within analytics, adaptive Learning, and organizational transformation to generate wide-scale and equitable learning outcomes."—John Campbell, Associate Professor, Higher Education Administration, School of Education, West Virginia University"This book brings together top scholars making the connection between data analytics and adaptive learning, all while keeping pedagogical theory on the central stage. It’s a powerhouse driven in equal parts by excellence and innovation providing vision for educators on the quest for learner success across the spectrum."—Kimberly Arnold, Director of Learning Analytics Center of Excellence"Once again, a dream team of faculty, researchers, thought leaders and practitioners come up with this defining, must-read book for every institutional leader and teacher that is invested in the success of every student. This book based on years of research and practice gives the "how-to"."—Manoj Kulkarni, CEO at Realizeit Learning"The chapters in this book bring a desperately needed clarity and a depth of understanding to the topic of data and analytics, adaptive learning and learning more generally in higher education. You will leave this book smarter about these topics than you started and both you and higher education will be the beneficiary."—Glenda MorganTable of ContentsSection 1: Introduction 1. Data Analytics and Adaptive Learning: Increasing the Odds Section 2: Analytics 2. What We Want Versus What We Have: Transforming Teacher Performance Analytics to Personalize Professional Development 3. System-Wide Momentum 4. A Precise and Consistent Early Warning System for Identifying At-Risk Students 5. Predictive Analytics, Artificial Intelligence and the Impact of Delivering Personalized Supports to Students from Underserved Backgrounds 6. Predicting Student Success with Self-regulated Behaviors: A Seven-year Data Analytics Study on a Hong Kong University English Course 7. Back to Bloom: Why Theory Matters in Closing the Achievement Gap 8. The Metaphors We Learn By: Toward a Philosophy of Learning Analytics Section 3: Adaptive Learning 9. A Cross-Institutional Survey of the Instructor Use of Data Analytics in Adaptive Courses 10. Data Analytics in Adaptive Learning for Equitable Outcomes 11. Banking on Adaptive Questions to Nudge Student Responsibility for Learning in General Chemistry 12. 3-Year Experience with Adaptive Learning: Faculty and Student Perspectives 13. Analyzing Question Items with Limited Data 14. When Adaptivity and Universal Design for Learning are Not Enough: Bayesian Network Recommendations for Tutoring Section 4: Organizational Transformation 15. Sprint to 2027: Corporate Analytics in the Digital Age 16. Academic Digital Transformation: Focused on Data, Equity and Learning Science Section 5: Closing 17. Future Technological Trends and Research – Tony Picciano
£128.25
Taylor & Francis Ltd Data Analytics and Adaptive Learning
Book SynopsisData Analytics and Adaptive Learning offers new insights into the use of emerging data analysis and adaptive techniques in multiple learning settings. In recent years, both analytics and adaptive learning have helped educators become more responsive to learners in virtual, blended, and personalized environments. This set of rich, illuminating, international studies spans quantitative, qualitative, and mixed-methods research in higher education, K12, and adult/continuing education contexts. By exploring the issues of definition and pedagogical practice that permeate teaching and learning and concluding with recommendations for the future research and practice necessary to support educators at all levels, this book will prepare researchers, developers, and graduate students of instructional technology to produce evidence for the benefits and challenges of data-driven learning.Trade Review"This book is an essential guide to the promise and practice of data analytics and adaptive learning in higher education. These pioneers and practitioners share valuable insights all institutions can use to enhance learning and student success."—Diana G. Oblinger, Ph.D., President Emeritus, EDUCAUSE"Impacts on learning we called overdetermined can now be parsed but need an informed judgment rising to the complexities involved. Data Analytics and Adaptive Learning, a collection of the very best thinking about both, provides just that, rendering the (potentially) all-seeing and hyper-focused approaches of DA and AL fruitful, humane, transformative."—George Otte, former University Director of Academic Technology, The City University of New York"At last: a book by education experts about the use of digital Information and Communication Technologies (ICTs) not only for lowering the friction in data, but for processing information to help teachers and students. This can be the beginning of a more radical change in education."—Anders Norberg, Coordinator of the ERASMUS+ALBATTS Blueprint project for development of innovative education for the emerging European battery and electromobility value chain (ERASMUS is a European Union Initiative for Education Mobility and Development)"Digital learning is the new normal in higher education. The group of experts assembled in this book share important ideas and trends related to learning analytics and adaptive learning that will surely influence all of our digital learning environments in the future."—Charles R. Graham, Professor, Department of Instructional Psychology and Technology, Brigham Young University "The concept of personalized and adaptive learning has long been touted but seldom enacted in education at scale. Data Analytics and Adaptive Learning brings together a compelling set of experts that provide novel and research informed insights into contemporary education spaces."—Professor Shane Dawson, Executive Dean Education Futures, University of South Australia"Moskal, Dziuban, and Picciano challenge the reader to keep the student at the center and imagine how data analytics and adaptive learning can be mutually reinforcing in closing the gap between students from different demographics."—Susan Rundell Singer, Vice President for Academic Affairs and Provost, Rollins College, former Division Director for Undergraduate Education at the National Science Foundation"We are currently living in a digital age where higher education institutions have an abundance of accessible data. This book contains a series of chapters that provide insight and strategies for using data analytics and adaptive learning to support student success and satisfaction."—Dr. Norman Vaughan, Professor of Education, Mount Royal University, Calgary, Alberta, Canada"An important book that comes at a critical moment in higher education. We are swimming in an ocean of data and this book from some of the country’s top researchers and practitioners will help us make sense of it and put it in the service of student success." —Thomas Cavanagh, Ph.D. Vice Provost for Digital Learning, University of Central Florida"Data Analytics and Adaptive Learning is an excellent addition to the canon of literature in this field. The book offers several valuable perspectives and innovative ways of approaching both new and old problems to improve organizational outcomes."—Jeffrey S. Russell, P.E., Ph.D., Dist.M.ASCE, NAC, F.NSPE, Vice Provost for Lifelong Learning, Dean for Div. of Continuing Studies, University of Wisconsin-Madison"Data is used to customize experiences from buying an item to booking travel. What about learning—a uniquely human endeavor? This book contextualizes the complex answers to that question shedding light on areas with promise: learning analytics, adaptive learning and the use of big data."—Dale Whittaker, Senior Program Officer in Post-Secondary Success, Bill and Melinda Gates Foundation"Data Analytics and Adaptive Learning presents a timely and wide-ranging consideration of the progress of adaptive learning and analytics in levelling the educational playing field, while providing necessary cautions regarding the drawing of too many conclusions in what is still a nascent area."—Frank Claffey, Chief Product Officer, Realizeit Learning"Data Analytics and Adaptive Learning provides insights and best practices from leaders in digital learning who outline considerations for strategies, change management, and effective decision making related to data. As higher education expands its work in digital learning and utilizing data for decisions, this book is a must read!"—Dr. Connie Johnson, Chancellor, Colorado Technical University"Data analytics and adaptive learning compromise two of the most relevant educational challenges. This book provides excellent research approaches and analysis to answer practical questions related to digital education involving teachers and learners"—Josep M Duart & Elsa Rodriguez, Editor-in-Chief & Editorial Manager of the International Journal of Educational technology in Higher Education, the Universitat Oberta de Catalunya (UOC)"Data, analytics, and machine learning are impacting all jobs and industries. For education, the opportunities are immense, but so are the challenges. This book provides an essential view into the possibilities and pitfalls. If you want to use data to impact learners positively, this book is a must-read."—Colm Howlin, PhD, Chief Data Scientist, ReliaQuest"Data Analytics and Adaptive Learning helps the educational community broaden its understanding of these two technology-based opportunities to enhance education, looking at very different complementary contributions. Congratulations to the authors."—Alvaro Galvis, professor at University of Los Andes, Bogotá"The menus, dashboards, and pathways to effective data analytics and adaptive learning can be found in this massively timely and hugely impactful juggernaut."—Curtis J. Bonk, Professor of Instructional Systems Technology and adjunct in the School of Informatics, Indiana University Bloomington"Adaptive learning and learning analytics – should we use both or choose one? Do they imply organizational transformation? What works and what does not? In my opinion, the book is valuable reading for those seeking the answers to their questions."—Maria Zajac, Associate Professor (emeritus) at Pedagogical University Cracow and SGH Warsaw School of Economics, Certified Instructional Designer, Poland "Data analytics and adaptive learning platforms can direct support as needed to at-risk students, helping to create more equitable outcomes. This volume contains a timely collection of studies that examine the impact of these approaches."—John Kane, Director of the Center for Excellence in Learning and Teaching at SUNY Oswego."This book shines a spotlight on the potential for data analytics, adaptive learning and big data to transform higher education. The volume lights the way for those brave enough to embrace a new paradigm of teaching and learning that enacts a more equitable and person-centered experience for all learners."—Paige McDonald, Associate Professor and Vice Chair, Department of Clinical Research and Leadership, The George Washington School of Medicine and Health Sciences"Deftly weaving adaptive learning and analytic theory and practice together, the authors offer numerous examples of how these methods can help us address academic barriers to student success. Their work significantly strengthens the fabric of knowledge on how adaptive learning can benefit students (and faculty)." —Dale P. Johnson, Director of Digital Innovation, University Design Institute, Arizona State University"The authors of this book convince us that the concepts of data analytics and adaptive learning are tightly integrated, and the book provides insights on different aspects related to utilization of intelligent technologies and how to approach the learning cycle at different stages." —Eli Hustad, Professor in Information Systems, The University of Agder"Student success is a fundamental mission for all educational institutions. This book explores the current opportunities within analytics, adaptive Learning, and organizational transformation to generate wide-scale and equitable learning outcomes."—John Campbell, Associate Professor, Higher Education Administration, School of Education, West Virginia University"This book brings together top scholars making the connection between data analytics and adaptive learning, all while keeping pedagogical theory on the central stage. It’s a powerhouse driven in equal parts by excellence and innovation providing vision for educators on the quest for learner success across the spectrum."—Kimberly Arnold, Director of Learning Analytics Center of Excellence"Once again, a dream team of faculty, researchers, thought leaders and practitioners come up with this defining, must-read book for every institutional leader and teacher that is invested in the success of every student. This book based on years of research and practice gives the "how-to"."—Manoj Kulkarni, CEO at Realizeit Learning"The chapters in this book bring a desperately needed clarity and a depth of understanding to the topic of data and analytics, adaptive learning and learning more generally in higher education. You will leave this book smarter about these topics than you started and both you and higher education will be the beneficiary."—Glenda MorganTable of ContentsSection 1: Introduction 1. Data Analytics and Adaptive Learning: Increasing the Odds Section 2: Analytics 2. What We Want Versus What We Have: Transforming Teacher Performance Analytics to Personalize Professional Development 3. System-Wide Momentum 4. A Precise and Consistent Early Warning System for Identifying At-Risk Students 5. Predictive Analytics, Artificial Intelligence and the Impact of Delivering Personalized Supports to Students from Underserved Backgrounds 6. Predicting Student Success with Self-regulated Behaviors: A Seven-year Data Analytics Study on a Hong Kong University English Course 7. Back to Bloom: Why Theory Matters in Closing the Achievement Gap 8. The Metaphors We Learn By: Toward a Philosophy of Learning Analytics Section 3: Adaptive Learning 9. A Cross-Institutional Survey of the Instructor Use of Data Analytics in Adaptive Courses 10. Data Analytics in Adaptive Learning for Equitable Outcomes 11. Banking on Adaptive Questions to Nudge Student Responsibility for Learning in General Chemistry 12. 3-Year Experience with Adaptive Learning: Faculty and Student Perspectives 13. Analyzing Question Items with Limited Data 14. When Adaptivity and Universal Design for Learning are Not Enough: Bayesian Network Recommendations for Tutoring Section 4: Organizational Transformation 15. Sprint to 2027: Corporate Analytics in the Digital Age 16. Academic Digital Transformation: Focused on Data, Equity and Learning Science Section 5: Closing 17. Future Technological Trends and Research – Tony Picciano
£38.99
Taylor & Francis Ltd Teaching and Learning with Technology
Book SynopsisTeaching and Learning with Technology sets out key principles for digital learning underpinned by research evidence. It explores the ways in which technology can help teachers to achieve their goals and support good pedagogy and offers practical strategies for using technology when planning and delivering effective lessons.Drawing on examples from across the curriculum and highlighting a wide range of key technologies, chapters cover: Live remote teaching Delivering content and instruction Using technology to assess learning Alternative learning platforms Ensuring accessibility and personalising learning E-safety, safeguarding and legal compliance Written by a leading expert in digital education and filled with easy-to-implement tips, this book is an essential guide for all teachers delivering lessons online.Trade Review"Teaching and Learning with Technology: How to Make E-Learning Work for You and Your Learners is filled with practical advice and instructive tips for educators on how to integrate technology into teaching and learning... I believe this book would be a good introductory read for the e-learning novice." - Tim Green, Teachers College RecordTable of Contents1. Introduction; 2. Presenting content for knowledge transfer; 3. Digital assessment; 4. Digital learning platforms; 5. Remote teaching; 6. Keeping digital education legal, accessible and safe; 7. Digital leadership and change
£20.19
Taylor & Francis Ltd Gaming the Past
Gaming the Past is a complete handbook to help pre-service teachers, current teachers, and teacher educators use historical video games in their classes to develop critical thinking skills. It focuses on practical information and specific examples for integrating critical thinking activities and assessments using video games into classes. Chapters cover the core parts of planning, designing, and implementing lessons and units based on historical video games.Topics include: Talking to administrators, parents, and students about the educational value of teaching with historical video games. Selecting games that are aligned to curricular goals by considering the genres of historical games. Planning and implementing game-based history lessons ranging from whole class exercises, to individual gameplay, to analysis in groups. Employing instructional strategies to help students learn to play and engage in h
£35.14
Taylor & Francis Ltd The Teachers Guide to Scratch Beginner
Book SynopsisThe Teacher's Guide to Scratch Beginneris a practical guide for educators preparing beginners-level coding lessons and assignments in their K12 classrooms. The world's largest and most active visual programming platform, Scratch helps today's schools answer the growing call to realize important learning outcomes using coding and computer science. This book illustrates the benefits and fundamental building blocks of Scratch coding, details effective pedagogical strategies and learner collaborations, and offers actionable, accessible troubleshooting tips. Geared toward the fledgling user, these four unique coding projects will provide the technical training that teachers need to feel comfortable and confident in their skills and to help instill the same feeling of accomplishment in their students. Clear goals, a comprehensive glossary, and other features ensure the project's enduring relevance as a reference work for computer science education in grade school. Thanks to Scratc
£26.99
Taylor & Francis Ltd Virtual Humans
Book SynopsisVirtual Humans provides a much-needed definition of what constitutes a virtual human' and places virtual humans within the wider context of Artificial Intelligence development. It explores the technical approaches to creating a virtual human, as well as emergent issues such as embodiment, identity, agency and digital immortality, and the resulting ethical challenges. The book presents an overview of current research and practice in this area, and outlines the major challenges faced by today's developers and researchers. The book examines the possibility for using virtual humans in a variety of roles, from personal assistants to teaching, coaching and knowledge management, and the book situates these discussions around familiar applications (e.g. Siri, Cortana, Alexa) and the portrayal of virtual humans within Science Fiction.Features Presents a comprehensive overview of this rapidly developing field Provides anTrade Review"This book presents an overview of the present state of play with virtual humans. Appearance, attributes, communication and intelligence are all investigated, and the architectures involved are covered in detail. If you have little knowledge of what a virtual human is, but want to find out, then this is the book for you. For researchers in the virtual human field this is a definite must." -Professor Kevin Warwick, Coventry University "David Burden and Maggi Savin-Baden’s Virtual Humans offers a thorough, research-based treatment of how digital entities with human-like features and capabilities have left the domain of science fiction and are rapidly becoming a major aspect of human culture. In their clearly-written and well-organized work, they describe the current forms and abilities of virtual humans (including smart speakers and virtual assistant systems like Siri, Alexa, and Cortana and various types of Internet-based chatbots); examine how the creation of virtual bodies, senses, and minds can be combined to create virtual humans; and consider potential developments in the nature and functionality of virtual agents across a range of timeframes from the end of the next decade to the end of the century. Significantly, the authors recognize and discuss the great ethical, moral and social implications of these technological developments which makes their work relevant and important for the social sciences and humanities as well as the domains of computing and information sciences. I certainly intend to use Virtual Humans as an assigned reading in the interdisciplinary courses I teach on the personal and social impact of leading-edge digital technologies." -Richard Gilbert, Professor of Psychology and Director of the Psychology and New Technology Research Lab, Loyola Marymount University, Los Angeles, California "Intelligent, pragmatic and insightful, Virtual Humans is an essential guide for those who want to understand the complex landscape of today’s technology when thinking about designing and building a virtual human. Helpfully, it clearly deploys a wealth of supporting analysis, case studies, research, ethical questions, and moral dilemmas and adds a refreshing dose of healthy common sense along the way." -Nicola Strong, Strong Enterprises Table of ContentsIntroduction Part I The Landscape Chapter 1 What are Virtual Humans? Chapter 2 Virtual Humans and Artificial Intelligence Part II Technology Chapter 3 Body and Senses Chapter 4 Mind Chapter 5 Communication Chapter 6 Architecture Chapter 7 Embodiment Chapter 8 Assembling and Assemblages Part III Identity Chapter 9 Digital Ethics Chapter 10 Identity and Agency Chapter 11 Virtual Humans for Education Chapter 12 Digital Immortality Chapter 13 Futures and Possibilities Glossary
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