£117.22

Springer - Theory Informing and Arising from Learning Analytics

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Description

Explore the academic foundations of data-driven education with Theory Informing and Arising from Learning Analytics. Published by Springer, this book provides a deep look into the relationship between theoretical frameworks and the practical application of learning analytics. Designed for readers interested in computing and internet databases, this text serves as an entry point for those studying how data informs educational processes. It bridges the gap between raw data collection and the meaningful theories that emerge from analyzing student learning patterns. This resource is ideal for students and professionals seeking to understand the core concepts of learning analytics. By focusing on the connection between theory and data, it offers a structured approach to understanding modern educational technology and database applications in a learning environment.

Key Features

Published by Springer, a trusted name in academic and professional literature.

Focuses on the relationship between theoretical frameworks and learning analytics data.

Provides foundational knowledge for beginners in computing and database subjects.

Explores how data-driven insights can inform educational theory and practice.

Offers a structured look at the processes behind learning analytics research.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
29 December 2024
Listed Since
11 April 2024

Barcode

No barcode data available

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