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Big Data and Learning Analytics in Higher Education

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Cover of 'Big Data and Learning Analytics in Higher Education'

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
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    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
Overall attention for this book and its chapters
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Mentioned by

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11 X users
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1 Wikipedia page

Citations

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38 Dimensions

Readers on

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234 Mendeley
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Title
Big Data and Learning Analytics in Higher Education
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-06520-5
ISBNs
978-3-31-906519-9, 978-3-31-906520-5
Editors

Ben Kei Daniel

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 234 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Unknown 233 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 15%
Student > Master 34 15%
Lecturer 20 9%
Researcher 16 7%
Student > Doctoral Student 16 7%
Other 55 24%
Unknown 59 25%
Readers by discipline Count As %
Computer Science 61 26%
Social Sciences 32 14%
Business, Management and Accounting 19 8%
Arts and Humanities 12 5%
Engineering 12 5%
Other 31 13%
Unknown 67 29%