{"product_id":"learning-engineering-toolkit-9781032232829","title":"Learning Engineering Toolkit","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThe \u003ci\u003eLearning Engineering Toolkit\u003c\/i\u003e is a practical guide to the rich and varied applications of learning engineering, a rigorous and fast-emerging discipline that synthesizes the learning sciences, instructional design, engineering design, and other methodologies to support learners. As learning engineering becomes an increasingly formalized discipline and practice, new insights and tools are needed to help education, training, design, and data analytics professionals iteratively develop, test, and improve complex systems for engaging and effective learning. Written in a colloquial style and full of collaborative, actionable strategies, this book explores the essential foundations, approaches, and real-world challenges inherent to ensuring participatory, data-driven, learning experiences across populations and contexts.\u003c\/p\u003e\u003cp\u003eIntroduction: What Is Learning Engineering?, Chapter 1: Learning Engineering is a Process, and Chapter 2: Learning Engineering Applies the Learning Science\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e“I am so impressed with how clearly and methodically this book has laid out the main tenets of the field and provided both practical examples and inspiring stories to bring the principles to life. I think this will be an immensely useful resource.”\u003cbr\u003e—\u003cstrong\u003eJoseph South, PhD\u003c\/strong\u003e, Chief Learning Officer, International Society for Technology in Education, and former director of the Office of Educational Technology at the US Department of Education\u003cbr\u003e\u003cbr\u003e“Popularized by MOOCs and the move to online learning during the pandemic, learning engineering is an emerging field that will become a standard discipline within universities in the years to come. Where science is the understanding of nature and engineering is the use of science in service of humanity, learning engineering incorporates learning science and cognitive science-based strategies to improve student outcomes. The \u003ci\u003eToolkit \u003c\/i\u003eis an essential resource for understanding this field and a playbook for leveraging learning engineering.”\u003cbr\u003e—\u003cstrong\u003eAnant Agarwal, PhD\u003c\/strong\u003e, Chief Open Education Officer at 2U and Founder of edX\u003cbr\u003e\u003cbr\u003e“Great advancements in learning can come from a multi-disciplinary approach that recognizes the value of different professions and mindsets.”\u003cbr\u003e—\u003cstrong\u003eAngela L. Hernandez, EdD\u003c\/strong\u003e, Lead Skills Architect, Western Governors University\u003cbr\u003e\u003cbr\u003e“The outstanding authors of this text answered most of my uncertainties about the new learning engineering approach. The chapters in this well-written book clearly describe the questions that need to be addressed when designing learning experiences for all ages and contexts. It then provides tools that can be used to provide answers and generate new questions. Readers who might be concerned about whether “engineering” can be applied to human learning will be impressed with the scope of the chapters and the examples provided.\u003c\/p\u003e\u003cp\u003eI was especially attracted to the emphasis on supporting diverse learners and on making ethical decisions as well as the tools suggested for scaling small but successful efforts. The approach described in this book is our best hope for drawing together the many professional fields and specializations that attempt to create effective learning experiences in all areas. The authors clearly intend to adopt the best of what we’ve learned from past research in related areas while developing tools that fill the gaps in those areas. I intend to use the book as an introductory text for my undergraduate instructional design and educational psychology students.”\u003cbr\u003e—\u003cstrong\u003eRichard E. Clark, EdD\u003c\/strong\u003e, Emeritus Professor of Educational Psychology and Technology, University of Southern California\u003cbr\u003e\u003cbr\u003e“This new \u003ci\u003eToolkit \u003c\/i\u003ebrings together complementary, diverse, and fresh perspectives on learning and development in our rapidly changing world. I can see it forming an invaluable handbook for learning and development professionals, or curious organisational leaders interested in the science and engineering of effective learning at scale.”\u003cbr\u003e—\u003cstrong\u003eJulian Stodd\u003c\/strong\u003e, author and founder of Sea Salt Learning\u003cbr\u003e\u003cbr\u003e“I have talked with many CEOs of EdTech companies and chief learning officers over the past few years. All of them have asked, “what is learning engineering and how do we do it?” I have wanted to have a handbook I could hand them and their teams to be able to better mature their systems for designing and improving learning. Well, here it is! Full of theory, process, methods, tools, and above all, examples, stories, and extremely practical tips. This book has everything a learning team needs to begin applying learning engineering. And no wonder: It was written by a truly cross-disciplinary, cross-industry, cross-functional, and truly boundary spanning team. This book will sit next to my computer—well worn and marked through—as I guide teams in building impactful learning experiences.”\u003cbr\u003e—\u003cstrong\u003eDavid Porcaro\u003c\/strong\u003e, VP of Learning and Innovation at General Assembly and former Director of Learning Engineering at the Chan Zuckerberg Initiative\u003cbr\u003e\u003cbr\u003e“The \u003ci\u003eLearning Engineering Toolkit \u003c\/i\u003eeffectively introduces the foundations of this emerging field and then provides a plethora of tools, strategies, and relevant examples that help the reader clearly see what this might look like in practice. There are many valuable concepts here for learning scientists, data scientists, software engineers, and leaders of organizations who are seeking a systematic approach to actively designing and building interventions to improve learner outcomes. This book presents a compelling case for learning engineering as a distinct field and topic to which any future-thinking education professional should be paying attention.”\u003cbr\u003e—\u003cstrong\u003eChris Millet\u003c\/strong\u003e, Senior Director of Learning Design for the Penn State World Campus, Pennsylvania State University\u003cbr\u003e\u003cbr\u003e“The references and storytelling bring new insights, a fresh perspective and wonderful synthesis.”\u003cbr\u003e—\u003cstrong\u003eJim Flanagan\u003c\/strong\u003e, Chief Operating and Strategy Officer, International Society for Technology in Education\u003cbr\u003e\u003cbr\u003e“This book is an essential toolkit for learning and development professionals. It’s a comprehensive roadmap for the new way of learning and working.”\u003cbr\u003e—\u003cstrong\u003eAmy A. Titus, EdD\u003c\/strong\u003e, Human Capital Managing Director, Deloitte Consulting\u003cbr\u003e\u003cbr\u003e“The \u003ci\u003eLearning Engineering Toolkit \u003c\/i\u003eoffers a path to revolutionize how we experience learning at school and work—by codifying the development and delivery of learning as a data-driven, continuous design process. In the true spirit of human-centered design, learning engineering integrates the power of diverse scientific disciplines, mixed-methods data collection, and a bias for action through constant iteration and co-production with learners. Research is design, and design is research. By building evidence into every step of the learning design and delivery process, learning engineering can ensure learners engage fully, learn deeply, and perform optimally.”\u003cbr\u003e—\u003cstrong\u003eSydney Heimbrock, PhD\u003c\/strong\u003e, Chief Industry Advisor for Government, Qualtrics\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eForeword \u003ci\u003eby Chris Dede\u003c\/i\u003ePreface \u003ci\u003eby Bror Saxberg\u003c\/i\u003eIntroduction \u003ci\u003eby Jim Goodell\u003c\/i\u003e\u003cb\u003ePart 1. Foundations: Essential Concepts in Learning Engineering\u003c\/b\u003e\u003cbr\u003eChapter 1. Learning Engineering is a Process \u003ci\u003eby Aaron Kessler, Scotty D. Craig, Jim Goodell, Dina Kurzweil, and Scott W. Greenwald\u003c\/i\u003e\u003cbr\u003eChapter 2. Learning Engineering Applies the Learning Sciences \u003ci\u003eby Jim Goodell, Janet Kolodner, and Aaron Kessler\u003c\/i\u003e\u003cbr\u003eChapter 3. Learning Engineering is Human-Centered \u003ci\u003eby Khanh-Phuong Thai, Scotty D. Craig, Jim Goodell, Jodi Lis, Jordan Richard Schoenherr, and Janet Kolodner\u003c\/i\u003e\u003cbr\u003eChapter 4. Learning Engineering is Engineering \u003ci\u003eby Avron Barr, Brandt Dargue, Jim Goodell, and Brandt Redd\u003c\/i\u003e\u003cbr\u003eChapter 5. Learning Engineering Uses Data (Part 1): Instrumentation \u003ci\u003eby Erin Czerwinski, Jim Goodell, Steve Ritter, Robert Sottilare, Khanh-Phuong Thai, and Daniel Jacobs\u003c\/i\u003e\u003cbr\u003eChapter 6. Learning Engineering Uses Data (Part 2): Analytics \u003ci\u003eby Michelle Barrett, Erin Czerwinski, Jim Goodell, Daniel Jacobs, Steve Ritter, Robert Sottilare, and Khanh-Phuong Thai\u003c\/i\u003e\u003cbr\u003eChapter 7. Learning Engineering is Ethical \u003ci\u003eby Jordan Richard Schoenherr\u003c\/i\u003e\u003cbr\u003e\u003cb\u003ePart 2. Tools: Short Practical Chapters with Easy-Reference Checklists, Guides, + Templates\u003c\/b\u003e\u003cbr\u003eChapter 8. Tools for Understanding the Challenge \u003ci\u003eby Erin Czerwinski and Jim Goodell\u003c\/i\u003e\u003cbr\u003eChapter 9. Tools from the Learning Sciences \u003ci\u003eby Jim Goodell, Janet Kolodner, and Aaron Kessler\u003c\/i\u003e\u003cbr\u003eChapter 10. Tools for Teaming \u003ci\u003eby Dina Kurzweil and Erin S. Barry\u003c\/i\u003e\u003cbr\u003eChapter 11. Lean-Agile Development Tools \u003ci\u003eby Michelle Barrett and Jim Goodell\u003c\/i\u003e\u003cbr\u003eChapter 12. Human-Centered Design Tools \u003ci\u003eby Sae Schatz, Khanh-Phuong Thai, Scotty D. Craig, Jordan Richard Schoenherr, Jodi Lis, and Janet Kolodner\u003c\/i\u003e\u003cbr\u003eChapter 13. Data Instrumentation Tools \u003ci\u003eby Erin Czerwinski, Jim Goodell, Steve Ritter, Robert Sottilare, and Khanh-Phuong Thai\u003c\/i\u003eChapter 14. Software and Technology Standards as Tools \u003ci\u003eby Jim Goodell, Andrew J. Hampton, Richard Tong, and Sae Schatz\u003c\/i\u003eChapter 15. Tools for Learner Motivation \u003ci\u003eby Laura Casey, Diana Delgado, Jim Goodell, and Prasad Ram\u003c\/i\u003eChapter 16. Implementation Tools \u003ci\u003eby Jodi Lis, Jessie Chuang, and Jordan Richard Schoenherr\u003c\/i\u003e\u003cbr\u003eChapter 17. Ethical Decision-Making Tools \u003ci\u003eby Jordan Richard Schoenherr and Jodi Lis\u003c\/i\u003e\u003cbr\u003eChapter 18. Data Analysis Tools \u003ci\u003eby Erin Czerwinski, Tanvi Domadia, Scotty D. Craig, Jim Goodell, and Steve Ritter\u003c\/i\u003e\u003cb\u003ePart 3. Vision and Commentary: A Short Story About Learning Engineering in the Future\u003c\/b\u003e\u003cbr\u003eChapter 19. The Future World with Learning Engineering: A Story \u003ci\u003eby Sae Schatz and JJ Walcutt\u003c\/i\u003eAbout the Authors\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":51018915840343,"sku":"9781032232829","price":34.19,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781032232829.jpg?v=1750778650","url":"https:\/\/bookcurl.com\/products\/learning-engineering-toolkit-9781032232829","provider":"Book Curl","version":"1.0","type":"link"}