Integrating multiple data sources for learning analytics—review of literature

Integrating multiple data sources for learning analytics—review of literature

Abstract Learning analytics (LA) promises understanding and optimization of learning and learning environments. To enable richer insights regarding questions related to learning and education, LA solutions should be able to integrate data coming from many different data sources, which may be stored...

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Bibliographic Details
Main Authors: Jeanette Samuelsen, Weiqin Chen, Barbara Wasson
Format: Article
Language:English
Published: SpringerOpen 2019-08-01
Series:Research and Practice in Technology Enhanced Learning
Subjects:
Learning analytics
Higher education
Data integration
Multiple data sources
Interoperability
Scalability
Online Access:http://link.springer.com/article/10.1186/s41039-019-0105-4

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http://link.springer.com/article/10.1186/s41039-019-0105-4

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