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Springer Theory Informing and Arising from Learning Analytics - Springer

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£120.83 £114.79 £117.21 £119.62 £122.04 £124.45 £126.87 27 July 2026 14 August 2026 01 September 2026 19 September 2026 07 October 2026
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Description

Theory Informing and Arising from Learning Analytics is a comprehensive guide published by Springer that explores the theoretical foundations and practical applications of learning analytics in educational settings. This book bridges the gap between abstract theoretical concepts and real-world implementation, making it an essential resource for educators, researchers, and professionals seeking to understand how learning analytics can inform educational practice and drive institutional improvement. The work examines how data-driven insights shape pedagogical approaches whilst also investigating how emerging theories emerge from analytical practice itself. Designed for those new to the field or looking to deepen their understanding of learning analytics principles, this resource provides structured knowledge that connects foundational theory with contemporary applications in digital learning environments.

Key Features

Springer publication ensures academic credibility and peer-reviewed content aligned with international research standards.

Explores bidirectional relationships between learning analytics theory and practical application in educational contexts.

Suitable for beginners and introduction-level readers approaching databases and computational analysis in learning environments.

Provides theoretical frameworks that inform how institutions implement and interpret learning analytics systems.

Addresses contemporary challenges in connecting abstract theoretical concepts with actionable insights in modern education.

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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