Learning Engineering for Online Education

Theoretical Contexts and Design-Based Examples

By: Chris Dede (Editor), John Richards (Editor), Bror Saxberg (Editor)

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Paperback | 24 October 2018 | Edition Number 1

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256 Pages

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22.86 x 15.24 x 1.37

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Learning Engineering for Online Education is a comprehensive overview of the emerging field of learning engineering, a form of educational optimization driven by analytics, design-based research, and fast-paced, large-scale experimentation. Chapters written by instructional design and distance learning innovators explore the theoretical context of learning engineering and provide design-based examples from top educational institutions. Concluding with an agenda for future research, this volume is essential for those interested in using data and high-quality outcome evidence to improve student engagement, instructional efficacy, and results in online and blended settings.

Industry Reviews

"This is a timely collection of concepts and case studies demonstrating the range of possibilities Learning Engineering holds for the development of measurable improvement in the practice of learning. Learning Engineering could become important, as both an academic discipline and a profession, to increasing the reliability, effectiveness, and value of learning strategies and educational technologies at scale."

-Shelly Blake-Plock, CEO at Yet Analytics and Chair of the IEEE IC Industry Consortium on Learning Engineering

"Finding ways to provide effective and efficient online education has proven a persistent challenge. The culprit: a failure to reengineer instructional delivery to suit a new medium. In this timely volume, the editors recruit a savvy group of contributors to illuminate a more promising path forward."

-Frederick M. Hess, Director of Education Policy Studies at the American Enterprise Institute

"If you are an instructor, course designer or academic leader in an online or blended environment who has wondered about this, this book will help you explore how learning engineering can integrate data analytics, learning science and evidence-based learning improvement approaches to recalibrate online delivery for the new digital age."
-Anna Mihaylov, Journal of Applied Learning & Teaching

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