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Frontiers of Cyberlearning

Overview of attention for book
Cover of 'Frontiers of Cyberlearning'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Learning Any Time, Anywhere: Big Educational Data from Smart Devices
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    Chapter 2 Framing Learning Analytics and Educational Data Mining for Teaching: Critical Inferencing, Domain Knowledge, and Pedagogy
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    Chapter 3 Learning Traces, Competence Assessment, and Causal Inference for English Composition
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    Chapter 4 QUESGEN: A Framework for Automatic Question Generation Using Semantic Web and Lexical Databases
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    Chapter 5 A Big Data Reference Architecture for Teaching Social Media Mining
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    Chapter 6 Big Data in Education: Supporting Learners in Their Role as Reflective Practitioners
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    Chapter 7 Towards Big Data in Education: The Case at the Open University of the Netherlands
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    Chapter 8 Learning Analytics in Practice: Providing E-Learning Researchers and Practitioners with Activity Data
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    Chapter 9 Using Apache Spark for Modeling Student Behavior at Scale
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    Chapter 10 Towards a Cloud-Based Big Data Infrastructure for Higher Education Institutions
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    Chapter 11 Cloud Services in Collaborative Learning: Applications and Implications
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    Chapter 12 Cloud Computing Environment in Big Data for Education
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    Chapter 13 Head in the Clouds: Some of the Possible Issues with Cloud Computing in Education
Attention for Chapter 8: Learning Analytics in Practice: Providing E-Learning Researchers and Practitioners with Activity Data
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Readers on

mendeley
43 Mendeley
Summary
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Chapter title
Learning Analytics in Practice: Providing E-Learning Researchers and Practitioners with Activity Data
Chapter number 8
Book title
Frontiers of Cyberlearning
Published by
Springer, Singapore, January 2018
DOI 10.1007/978-981-13-0650-1_8
Book ISBNs
978-9-81-130649-5, 978-9-81-130650-1
Authors

J. Minguillón, J. Conesa, M. E. Rodríguez, F. Santanach, Minguillón, J., Conesa, J., Rodríguez, M. E., Santanach, F.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 5 12%
Student > Master 5 12%
Professor 4 9%
Student > Bachelor 3 7%
Student > Doctoral Student 3 7%
Other 6 14%
Unknown 17 40%
Readers by discipline Count As %
Computer Science 12 28%
Social Sciences 3 7%
Engineering 3 7%
Nursing and Health Professions 1 2%
Physics and Astronomy 1 2%
Other 3 7%
Unknown 20 47%

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