Big Data and Learning Analytics in Higher Education Current Theory and Practice /
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 r...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Theory and Practice
- Global challenges in higher education
- Technological trends in higher education
- Data Science
- Big data in higher education
- Learning analytics
- Big Data Platforms and Systems
- Analytical platforms
- Systems
- Databases
- Tools
- Visualization
- Dashboards
- Measurement and Methodologies
- Measures, indicators, metrics
- Data mining techniques
- Data capture
- Data tracking
- Metadata
- Methodologies
- Institutional Best Practices
- Case studies/best practices
- Polyicy implication on learning, teaching, and research
- Challenges and opportunities
- Future Trends
- Lessons learned
- Future perspectives in big data
- Conclusions.