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The learning engineering toolkit : evidence-based practices from the learning sciences, instructional design, and beyond

Title
The learning engineering toolkit : evidence-based practices from the learning sciences, instructional design, and beyond / edited by Jim Goodell with Janet Kolodner ; foreword by Chris Dede ; preface by Bror Saxberg.
ISBN
1000683249
1000683257
1003276571
9781000683240
9781000683257
9781003276579
9781032208503
9781032232829
Publication
New York, NY : Routledge, 2023.
Copyright Notice Date
©2023
Physical Description
1 online resource (xiv, 421 pages) : illustrations (some color)
Local Notes
Access is available to the Yale community.
Notes
Description based on online resource; title from digital title page (viewed on August 17, 2022).
Access and use
Access restricted by licensing agreement.
Biographical / Historical Note
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.
Summary
"The Learning Engineering Toolkit is a practical guide to the rich and varied applications of learning engineering, a process and practice that synthesizes the learning sciences with human-centered engineering design methodologies and data-informed decision-making to support learners and their development. 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"-- Provided by publisher.
Variant and related titles
Taylor & Francis. EBA 2024-2025.
Other formats
Print version: Learning engineering toolkit New York : Routledge, 2023
Format
Books / Online
Language
English
Added to Catalog
August 08, 2024
Bibliography
Includes bibliographical references.
Genre/Form
Electronic books.
Citation

Available from:

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