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Big Data and Learning Analytics in Higher Education

Overview of attention for book
Big Data and Learning Analytics in Higher Education
Springer International Publishing

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Overview of Big Data and Analytics in Higher Education
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    Chapter 2 Thoughts on Recent Trends and Future Research Perspectives in Big Data and Analytics in Higher Education
  4. Altmetric Badge
    Chapter 3 Big Data in Higher Education: The Big Picture
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    Chapter 4 Preparing the Next Generation of Education Researchers for Big Data in Higher Education
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    Chapter 5 Managing the Embedded Digital Ecosystems (EDE) Using Big Data Paradigm
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    Chapter 6 The Contemporary Research University and the Contest for Deliberative Space
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    Chapter 7 Ethical Considerations in Adopting a University- and System-Wide Approach to Data and Learning Analytics
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    Chapter 8 Big Data, Higher Education and Learning Analytics: Beyond Justice, Towards an Ethics of Care
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    Chapter 9 Curricular and Learning Analytics: A Big Data Perspective
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    Chapter 10 Implementing a Learning Analytics Intervention and Evaluation Framework: What Works?
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    Chapter 11 GraphFES: A Web Service and Application for Moodle Message Board Social Graph Extraction
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    Chapter 12 Toward an Open Learning Analytics Ecosystem
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    Chapter 13 Predicting Four-Year Student Success from Two-Year Student Data
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    Chapter 14 Assessing Science Inquiry Skills in an Immersive, Conversation-Based Scenario
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    Chapter 15 Learning Analytics of Clinical Anatomy e-Cases
Attention for Chapter 4: Preparing the Next Generation of Education Researchers for Big Data in Higher Education
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Citations

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Chapter title
Preparing the Next Generation of Education Researchers for Big Data in Higher Education
Chapter number 4
Book title
Big Data and Learning Analytics in Higher Education
Published by
Springer International Publishing, August 2016
DOI 10.1007/978-3-319-06520-5_4
Book ISBNs
978-3-31-906519-9, 978-3-31-906520-5
Authors

David C. Gibson, Dirk Ifenthaler, Gibson, David C., Ifenthaler, Dirk

Editors

Ben Kei Daniel

Timeline

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
Unknown 90 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 12%
Student > Ph. D. Student 10 11%
Unspecified 8 9%
Professor 7 8%
Student > Doctoral Student 6 7%
Other 29 32%
Unknown 20 22%
Readers by discipline Count As %
Social Sciences 23 25%
Computer Science 18 20%
Unspecified 8 9%
Engineering 5 5%
Arts and Humanities 3 3%
Other 7 8%
Unknown 27 30%