Learning Engineering Toolkit: Evidence-Based Practices from the Learning Sciences, Instructional Design, and Beyond

  • 7h 32m
  • Janet Kolodner, Jim Goodell
  • Taylor and Francis
  • 2023

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.

About the Author

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.

In this Book

  • Foreword
  • Introduction—How Do I Use This Book?
  • Introduction—What is Learning Engineering?
  • Learning Engineering is a Process
  • Learning Engineering Applies the Learning Sciences
  • Learning Engineering is Human-Centered
  • Learning Engineering is Engineering
  • Learning Engineering Uses Data (Part 1): Instrumentation
  • Learning Engineering Uses Data (Part 2): Analytics
  • Learning Engineering is Ethical
  • Tools for Understanding the Challenge
  • Tools from the Learning Sciences
  • Tools for Teaming
  • Lean-Agile Development Tools
  • Human-Centered Design Tools
  • Data Instrumentation Tools
  • Software and Technology Standards as Tools
  • Tools for Learner Motivation
  • Implementation Tools
  • Ethical Decision-Making Tools
  • Data Analysis Tools
  • The Future World with Learning Engineering—A Story
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