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.
Table of Contents
List of Contributors; Foreword, Huntington Lambert 1. Introduction: Improving Efficiency and Effectiveness Through Learning Engineering, Chris Dede 2. The Role of the Learning Engineer, Phillip D. Long 3. Tinkering Toward a Learning Utopia: Implementing Learning Engineering, Barbara Means 4. Learning Engineering Teams: Capabilities and Process, Craig D. Roberts and Shawn J. Miller 5. From Artisanship to Learning Engineering: Harvard Division of Continuing Education’s Framework for Improving Teaching and Learning, Henry Leitner, Rebecca Nesson, and Edward Walker 6. Personalization to Engage Differentiated Learners at Scale, Chris Jennings 7. Jill Watson: A Virtual Teaching Assistant for Online Education, Ashok K. Goel and Lalith Polepeddi 8. Creating Personalized Learning Using Aggregated Data from Students’ Online Conversational Interactions in Customized Groups, Scott M. Martin and Matthew L. Trang 9. Executing the Change to Learning Engineering at Scale, Bror Saxberg 10. Rethinking Learning in the 21st Century, Sanjay Sarma 11. Learning Engineering: Developing a Research Agenda to Bridge the Present to an Aspirational Future, John Richards, Chris Dede, and Bror Saxberg