Daniel, Ben Kei
Big Data and Learning Analytics in Higher Education
1. Overview of Big Data and Analytics in Higher Education
Ben Kei Daniel
Part I. BIG DATA
2. Thoughts on Recent Trends and Future Research Perspectives in Big Data and Analytics in Higher Education
Jay Liebowitz
3. Big Data in Higher Education: The Big Picture
Ben K. Daniel
4. Preparing the Next Generation of Education Researchers for Big Data in Higher Education
David C. Gibson, Dirk Ifenthaler
5. Managing the Embedded Digital Ecosystems (EDE) Using Big Data Paradigm
Shastri L. Nimmagadda, Amit Rudra
6. The Contemporary Research University and the Contest for Deliberative Space
Tony Harland
Part II. LEARNING ANALYTICS
7. Ethical Considerations in Adopting a University- and System-Wide Approach to Data and Learning Analytics
Lynne D. Roberts, Vanessa Chang, David Gibson
8. Big Data, Higher Education and Learning Analytics: Beyond Justice, Towards an Ethics of Care
Paul Prinsloo, Sharon Slade
9. Curricular and Learning Analytics: A Big Data Perspective
Colin Pinnell, Geetha Paulmani, Vivekanandan Kumar, Kinshuk
10. Implementing a Learning Analytics Intervention and Evaluation Framework: What Works?
Bart Rienties, Simon Cross, Zdenek Zdrahal
11. GraphFES: A Web Service and Application for Moodle Message Board Social Graph Extraction
Ángel Hernández-García, Ignacio Suárez-Navas
12. Toward an Open Learning Analytics Ecosystem
Mohamed Amine Chatti, Arham Muslim, Ulrik Schroeder
13. Predicting Four-Year Student Success from Two-Year Student Data
Denise Nadasen, Alexandra List
14. Assessing Science Inquiry Skills in an Immersive, Conversation-Based Scenario
Diego Zapata-Rivera, Lei Liu, Lei Chen, Jiangang Hao, Alina A. Davier
15. Learning Analytics of Clinical Anatomy e-Cases
Vivek Perumal, Ben Daniel, Russell Butson
Keywords: Education, Educational Technology, Learning & Instruction
- Editor
- Daniel, Ben Kei
- Publisher
- Springer
- Publication year
- 2017
- Language
- en
- Edition
- 1
- Page amount
- 20 pages
- Category
- Upbringing, Education
- Format
- Ebook
- eISBN (PDF)
- 9783319065205
- Printed ISBN
- 978-3-319-06519-9