Learning engineering for online education : theoretical contexts and design-based examples /
edited by Chris Dede, John Richards and Bror Saxberg.
Bok Engelsk 2019 · Electronic books.
| Medvirkende | |
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| Omfang | 1 online resource (255 pages)
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| Opplysninger | 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 -- Instructional Media and Technology -- Online 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 -- Prerequisites for Making the Organizational Transformation -- Conclusion -- 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.. - Strategic Objectives for Learning Engineering -- How 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 -- 7. Jill Watson: A Virtual Teaching Assistant for Online Education -- Motivations: 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 -- Modern Online Learning Systems -- Issues with Chat Channels in Large Online Courses -- Aggregate Student Learning -- Data, But What Data? -- "Idealized" Learner Group Composition -- Dynamic Online Class Regrouping and Rebalancing -- Deep Academic Learning Intelligence -- Omega Learning Map and DALI -- Knowledge Acquisition System -- Summary -- Acknowledgements -- Notes -- References -- 9. Executing the Change to Learning Engineering at Scale -- Introduction -- Expose the Organization to Possibilities -- Educate the Key Action-Takers -- Conclusion -- Acknowledgement -- References -- 10. Rethinking Learning in the 21st Century.. - The Pendulum Swing: Four Modes of Education -- A Richer Orchestra -- Designing this New Instrument -- The Future of Education -- Notes -- Acknowledgements -- References -- PART III: Conclusions -- 11. Learning Engineering: Developing a Research Agenda to Bridge the Present to an Aspirational Future -- The Current State of Learning Engineering -- The DTP Model -- Online and Hybrid Courses -- A Research Agenda to Advance Learning Engineering in Online Higher Education -- References -- Index.
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| Emner | |
| Sjanger | |
| Dewey | |
| ISBN | 1-351-18617-5. - 1-351-18618-3. - 1-351-18619-1
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