Learning Engineering Toolkit

The Learning Engineering Toolkit 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.

Jim Goodell is Director of Innovation at Quality Information Partners, USA, and Chair of the Institute of Electrical and Electronics Engineers' Learning Technology Standards Committee. Janet Kolodner is Professor of the Practice in the Caroline A. and Peter S. Lynch School of Education and Human Development at Boston College, USA, and Regents' Professor Emerita, Georgia Institute of Technology, USA.

Foreword by Chris DedePreface by Bror SaxbergIntroduction by Jim GoodellPart 1. Foundations: Essential Concepts in Learning Engineering Chapter 1. Learning Engineering is a Process by Aaron Kessler, Scotty D. Craig, Jim Goodell, Dina Kurzweil, and Scott W. Greenwald Chapter 2. Learning Engineering Applies the Learning Sciences by Jim Goodell, Janet Kolodner, and Aaron Kessler Chapter 3. Learning Engineering is Human-Centered by Khanh-Phuong Thai, Scotty D. Craig, Jim Goodell, Jodi Lis, Jordan Richard Schoenherr, and Janet Kolodner Chapter 4. Learning Engineering is Engineering by Avron Barr, Brandt Dargue, Jim Goodell, and Brandt Redd Chapter 5. Learning Engineering Uses Data (Part 1): Instrumentation by Erin Czerwinski, Jim Goodell, Steve Ritter, Robert Sottilare, Khanh-Phuong Thai, and Daniel Jacobs Chapter 6. Learning Engineering Uses Data (Part 2): Analytics by Michelle Barrett, Erin Czerwinski, Jim Goodell, Daniel Jacobs, Steve Ritter, Robert Sottilare, and Khanh-Phuong Thai Chapter 7. Learning Engineering is Ethical by Jordan Richard Schoenherr Part 2. Tools: Short Practical Chapters with Easy-Reference Checklists, Guides, + Templates Chapter 8. Tools for Understanding the Challenge by Erin Czerwinski and Jim Goodell Chapter 9. Tools from the Learning Sciences by Jim Goodell, Janet Kolodner, and Aaron Kessler Chapter 10. Tools for Teaming by Dina Kurzweil and Erin S. Barry Chapter 11. Lean-Agile Development Tools by Michelle Barrett and Jim Goodell Chapter 12. Human-Centered Design Tools by Sae Schatz, Khanh-Phuong Thai, Scotty D. Craig, Jordan Richard Schoenherr, Jodi Lis, and Janet Kolodner Chapter 13. Data Instrumentation Tools by Erin Czerwinski, Jim Goodell, Steve Ritter, Robert Sottilare, and Khanh-Phuong ThaiChapter 14. Software and Technology Standards as Tools by Jim Goodell, Andrew J. Hampton, Richard Tong, and Sae SchatzChapter 15. Tools for Learner Motivation by Laura Casey, Diana Delgado, Jim Goodell, and Prasad RamChapter 16. Implementation Tools by Jodi Lis, Jessie Chuang, and Jordan Richard Schoenherr Chapter 17. Ethical Decision-Making Tools by Jordan Richard Schoenherr and Jodi Lis Chapter 18. Data Analysis Tools by Erin Czerwinski, Tanvi Domadia, Scotty D. Craig, Jim Goodell, and Steve RitterPart 3. Vision and Commentary: A Short Story About Learning Engineering in the Future Chapter 19. The Future World with Learning Engineering: A Story by Sae Schatz and JJ WalcuttAbout the Authors