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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
Attention for Chapter 7: Ethical Considerations in Adopting a University- and System-Wide Approach to Data and Learning Analytics
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Citations

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Chapter title
Ethical Considerations in Adopting a University- and System-Wide Approach to Data and Learning Analytics
Chapter number 7
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_7
Book ISBNs
978-3-31-906519-9, 978-3-31-906520-5
Authors

Lynne D. Roberts, Vanessa Chang, David Gibson, Roberts, Lynne D., Chang, Vanessa, Gibson, David

Editors

Ben Kei Daniel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 60 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 15%
Student > Ph. D. Student 7 11%
Professor 7 11%
Researcher 6 10%
Student > Doctoral Student 5 8%
Other 15 25%
Unknown 12 20%
Readers by discipline Count As %
Computer Science 19 31%
Social Sciences 16 26%
Business, Management and Accounting 3 5%
Engineering 2 3%
Mathematics 1 2%
Other 4 7%
Unknown 16 26%