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Artificial Intelligence Supported Educational Technologies

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Table of Contents

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    Book Overview
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    Chapter 1 Open Learning Analytics: A Systematic Literature Review and Future Perspectives
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    Chapter 2 Non-distracting Feedback in Artificial Intelligence Supported Learning
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    Chapter 3 Research on Human-Computer Cooperative Teaching Supported by Artificial Intelligence Robot Assistant
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    Chapter 4 A New Conceptual Framework for Measuring Online Listening in Asynchronous Discussion Forums
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    Chapter 5 Self-Improvable, Self-Improving, and Self-Improvability Adaptive Instructional System
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    Chapter 6 Can Sensors Effectively Support Learning?
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    Chapter 7 A Prototype System of Search: Finding Short Material for Science Education in Long and High-Definition Documentary Videos
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    Chapter 8 A Learning Attention Monitoring System via Photoplethysmogram Using Wearable Wrist Devices
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    Chapter 9 Toward Improving Social Interaction Ability for Children with Autism Spectrum Disorder Using Social Signals
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    Chapter 10 Personalized Citation Recommendation Using an Ensemble Model of DSSM and Bibliographic Information
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    Chapter 11 Augmented: Academic Performance Prediction Based on Digital Campus
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    Chapter 12 Joint Embedding Learning of Educational Knowledge Graphs
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    Chapter 13 Modeling the Self-Regulated Learning Behaviors of Graduate Students in Online Academic Reading and Writing Environments
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    Chapter 14 Mapping Machine-Generated Questions to Their Related Paragraphs in the Textbook
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    Chapter 15 Change Management for Learning Analytics
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    Chapter 16 Lessons Learned from Designing Adaptive Training Systems
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Title
Artificial Intelligence Supported Educational Technologies
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-41099-5
ISBNs
978-3-03-041098-8, 978-3-03-041099-5
Editors

Niels Pinkwart, Sannyuya Liu

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