| Description |
1 online resource (255 pages) |
| Contents |
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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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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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 |
| Summary |
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 |
| Notes |
Modern Online Learning Systems |
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Chris Dede is Timothy E. Wirth Professor in Learning Technologies at Harvard Graduate School of Education, USA, where he served as Chair of the Learning and Teaching Department. John Richards is Lecturer at Harvard Graduate School of Education, USA, and President of Consulting Services for Education (CS4Ed). He has served as President of the JASON Foundation for Education and Senior Vice President and General Manager of Turner Learning, Inc. Bror Saxberg is Vice President of Learning Science at the Chan Zuckerberg Initiative, USA. He was previously the Chief Learning Officer at Kaplan, Inc |
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Print version record |
| Subject |
Distance education.
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Learning -- Data processing
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Web-based instruction.
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Education, Higher -- Computer-assisted instruction
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EDUCATION -- General.
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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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| Form |
Electronic book
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| Author |
Dede, Christopher.
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Richards, John
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Saxberg, Bror.
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| ISBN |
9781351186186 |
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1351186183 |
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9781351186179 |
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1351186175 |
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9781351186162 |
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1351186167 |
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9781351186193 |
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1351186191 |
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0815394411 |
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9780815394419 |
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081539442X |
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9780815394426 |
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