Screen LibraryOptimizing student engagement in online learning environments /
"This book provides the latest research and developments to determine the disengagement detection of students or learners through online learning system. It explores how detecting and analyzing students' disengagement in online learning using various tools, techniques and systems will help...
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| Corporate Authors: | |
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| Group Author: | |
| Published: |
IGI Global,
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| Publisher Address: | Hershey, Pa. : |
| Publication Dates: | 2018. |
| Literature type: | eBook |
| Language: | English |
| Subjects: | |
| Online Access: |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3634-5 |
| Summary: |
"This book provides the latest research and developments to determine the disengagement detection of students or learners through online learning system. It explores how detecting and analyzing students' disengagement in online learning using various tools, techniques and systems will help to automatically detect disengagement learners and offer the opportunity to make online learning more efficient"-- |
| Carrier Form: | 22 PDFs ( pages) |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9781522536352 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
| Index Number: | LB1044 |
| CLC: | G434 |
| Contents: | Section 1. Concepts and practices. Chapter 1. Impact of student engagement in online learning environments ; Chapter 2. Cultural implications for student engagement in online learning ; Chapter 3. Cloud computing assessment for students' social presence in relation to satisfaction and perceived learning ; Chapter 4. Student engagement practices for computer science students in online learning environments -- Section 2. Tools and techniques. Chapter 5. Modern online learning tools over the platform of virtual/augmented reality ; Chapter 6. MOOC for student learning and active engagement ; Chapter 7. Learning styles and online tools: how to construct an effective online learning environment ; Chapter 8. Detecting online learners' reading ability via eye-tracking -- Section 3. Methodologies and cases. Chapter 9. Optimizing student engagement in online learning environments: intuitionistic fuzzy logic in student modeling ; Chapter 10. New frontiers for e-learning in education: a big data application ; Chapter 11. Developing an engaging online engineering ethics course for future engineers ; Chapter 12. Autonomous learning and skill accreditation: a paradigm for medical studies. |