Frontiers of Cyberlearning Emerging Technologies for Teaching and Learning 1st Edition by J Michael Spector, Vivekanandan Kumar, Alfred Essa, Yueh Min Huang, Rob Koper, Richard A W Tortorella, Ting Wen Chang, Yanyan Li, Zhizhen Zhang ISBN 981134471X 978-9811344718

Frontiers of Cyberlearning Emerging Technologies for Teaching and Learning 1st Edition by J. Michael Spector, Vivekanandan Kumar, Alfred Essa, Yueh-Min Huang, Rob Koper, Richard A. W. Tortorella, Ting-Wen Chang, Yanyan Li, Zhizhen Zhang- Ebook PDF Instant Download/Delivery: 981134471X, 978-9811344718

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Product details:

ISBN 10: 981134471X 

ISBN 13: 978-9811344718

Author: J. Michael Spector, Vivekanandan Kumar, Alfred Essa, Yueh-Min Huang, Rob Koper, Richard A. W. Tortorella, Ting-Wen Chang, Yanyan Li, Zhizhen Zhang

 This book demonstrates teachers’ and learners’ experiences with big data in education; education and cloud computing; and new technologies for teacher support. It also discusses the advantages of using these frontier technologies in teaching and learning and predicts the future challenges. As such, it enables readers to better understand how technologies can improve learning and teaching experiences. It is intended for graduates and scholars in educational technology disciplines and anyone interested in the applications of frontier technologies in education.

Table of contents: 

1. Learning Any Time, Anywhere: Big Educational Data from Smart Devices

2. Framing Learning Analytics and Educational Data Mining for Teaching: Critical Inferencing, Domain Knowledge, and Pedagogy

3. Learning Traces, Competence Assessment, and Causal Inference for English Composition

4. QUESGEN: A Framework for Automatic Question Generation Using Semantic Web and Lexical Databases

5. A Big Data Reference Architecture for Teaching Social Media Mining

6. Big Data in Education: Supporting Learners in Their Role as Reflective Practitioners

7. Towards Big Data in Education: The Case at the Open University of the Netherlands

8. Learning Analytics in Practice: Providing E-Learning Researchers and Practitioners with Activity Data

9. Using Apache Spark for Modeling Student Behavior at Scale

10. Towards a Cloud-Based Big Data Infrastructure for Higher Education Institutions

11. Cloud Services in Collaborative Learning: Applications and Implications

12. Cloud Computing Environment in Big Data for Education

13. Head in the Clouds: Some of the Possible Issues with Cloud Computing in Education

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Tags: J Michael Spector, Vivekanandan Kumar, Alfred Essa, Yueh Min Huang, Rob Koper, Richard A W Tortorella, Ting Wen Chang, Yanyan Li, Zhizhen Zhang, Frontiers, Cyberlearning, Emerging Technologies, Teaching, Learning