Big Data and Learning Analytics in Higher Education: Current Theory and Practice

✍ Scribed by Ben Kei Daniel (eds.)

Publisher: Springer International Publishing
Year: 2017
Tongue: English
Leaves: 287
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institutional performance and progress in order to predict future performance, and identifies potential issues related to academic programming, research, teaching and learning. Big data refers to data which is fundamentally too big and complex and moves too fast for the processing capacity of conventional database systems. The value of big data is the ability to identify useful data and turn it into useable information by identifying patterns and deviations from patterns.

✦ Table of Contents

Front Matter....Pages i-xx
Overview of Big Data and Analytics in Higher Education....Pages 1-4
Front Matter....Pages 5-5
Thoughts on Recent Trends and Future Research Perspectives in Big Data and Analytics in Higher Education....Pages 7-17
Big Data in Higher Education: The Big Picture....Pages 19-28
Preparing the Next Generation of Education Researchers for Big Data in Higher Education....Pages 29-42
Managing the Embedded Digital Ecosystems (EDE) Using Big Data Paradigm....Pages 43-72
The Contemporary Research University and the Contest for Deliberative Space....Pages 73-86
Front Matter....Pages 87-87
Ethical Considerations in Adopting a University- and System-Wide Approach to Data and Learning Analytics....Pages 89-108
Big Data, Higher Education and Learning Analytics: Beyond Justice, Towards an Ethics of Care....Pages 109-124
Curricular and Learning Analytics: A Big Data Perspective....Pages 125-145
Implementing a Learning Analytics Intervention and Evaluation Framework: What Works?....Pages 147-166
GraphFES: A Web Service and Application for Moodle Message Board Social Graph Extraction....Pages 167-194
Toward an Open Learning Analytics Ecosystem....Pages 195-219
Predicting Four-Year Student Success from Two-Year Student Data....Pages 221-236
Assessing Science Inquiry Skills in an Immersive, Conversation-Based Scenario....Pages 237-252
Learning Analytics of Clinical Anatomy e-Cases....Pages 253-263
Back Matter....Pages 265-272

✦ Subjects

Educational Technology;Learning & Instruction

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