| Document Type
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BL
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| Record Number
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846591
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| Title & Author
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Learning Engineering for Online Education : : Theoretical Contexts and Design-Based Examples /\ edited by Chris Dede, John Richards, and Bror Saxberg.
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| Publication Statement
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Milton :: Routledge,, 2018.
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| Page. NO
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1 online resource (255 pages)
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| ISBN
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0815394411
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: 081539442X
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: 1351186167
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: 1351186175
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: 1351186183
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: 1351186191
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: 9780815394419
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: 9780815394426
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: 9781351186162
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: 9781351186179
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: 9781351186186
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: 9781351186193
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9780815394419
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9780815394426
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| Notes
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Modern Online Learning Systems
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| Contents
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Cover; Half Title; Title Page; Copyright Page; Table of Contents; List of figures; List of tables; List of contributors; Foreword by Huntington Lambert; 1. Introduction: Improving Efficiency and Effectiveness Through Learning Engineering; Personalized Learning; The Value of Personalization in Online Learning; Learning Engineering as a Means of Enhancing Educational Efficiency and Effectiveness; Overview of Chapters; Dimensions of Learning Engineering; Cases of Practice; References; PART I: Dimensions of Learning Engineering; 2. The Role of the Learning Engineer
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7. Jill Watson: A Virtual Teaching Assistant for Online EducationMotivations: Learning Assistance in Online Education; Background: An Online Course on Artificial Intelligence; A Challenge in Scaling Online Education: Responding to Student Questions; A Potential Answer: Virtual Teaching Assistants; Jill Watson and Family; Jill Watson 1.0; Jill Watson 2.0; Jill Watson 3.0; Student Reaction; Discussion; Conclusion; Notes; Acknowledgements; References; 8. Creating Personalized Learning Using Aggregated Data from Students' Online Conversational Interactions in Customized Groups; Introduction
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Instructional Media and TechnologyOnline Learning; Design Science/Design Thinking; Learning Analytics; Where Are We Now?; Effect Sizes and Replication; Efficacy Research versus Clinical Effectiveness; A Possible Path Forward; The Challenge; Notes; References; 3. Tinkering Toward a Learning Utopia: Implementing Learning Engineering; It Takes a Team to Leverage Data for Student Success; An Early Application of the Collaborative Data-intensive Improvement Model; A Five-Phase Process for Collaborative Data-intensive Improvement; Challenges in Doing This Kind of Work
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Prerequisites for Making the Organizational TransformationConclusion; References; 4. Learning Engineering Teams: Capabilities and Process; Introduction; Technology Planning; Curriculum Development; Content Development; Research; Implementation; Summary; Notes; References; PART II: Cases of Practice; 5. From Artisanship to Learning Engineering: Harvard Division of Continuing Education's Framework for Improving Teaching and Learning; The Role of the Division of Continuing Education at Harvard; Extending the Scope of Learning Engineering; Sources of Data; Example: OpenCast Data
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Strategic Objectives for Learning EngineeringHow We Think About Learning Engineering; The Art of Learning Engineering; Where We Think We Want To Go; References; 6. Personalization to Engage Differentiated Learners at Scale; Introduction; Academy Implementation and Data Collection; Understanding Academy Users; Measuring User Engagement; The Promise of Personalization; Proposed Method; Personalized Learning Paths; Personalized Lesson Content; Success Metrics; Risks/Challenges; Future Investigations; Conclusion; Notes; Acknowledgements; References
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| Abstract
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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.
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| Subject
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Distance education.
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Education, Higher-- Computer-assisted instruction.
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Learning-- Data processing.
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Web-based instruction.
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Distance education.
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EDUCATION-- General.
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Education, Higher-- Computer-assisted instruction.
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Learning-- Data processing.
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Web-based instruction.
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| Dewey Classification
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371.3
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| LC Classification
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LC5800
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| Added Entry
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Dede, Christopher.
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Richards, John.
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Saxberg, Bror.
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