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Springer Learning Analytics: Fundamentals, Applications & Trends - Springer

Amazon

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Description

This comprehensive guide explores learning analytics from both conceptual and empirical perspectives, delivering core concepts, research findings, and practical outcomes in this rapidly evolving field. Spanning nine chapters, the book examines selected topics, recent advances, and innovative applications across the learning analytics landscape. It provides in-depth analysis of higher education, adaptive assessment, and teaching and learning methodologies, whilst addressing critical challenges in personalisation and large-scale data management. Ideal for researchers, educators, and professionals seeking to understand current trends and specialised applications shaping e-learning environments, this work offers a structured pathway through the current state of the art in learning analytics.

Key Features

This Springer publication covers nine chapters of learning analytics fundamentals and research outcomes designed for comprehensive understanding.

The book examines adaptive assessment and teaching and learning within higher education contexts with in-depth case studies.

It addresses personalisation approaches and large-scale data handling methods essential for modern e-learning applications.

Part of the Studies in Systems, Decision and Control series (volume 94), providing authoritative academic perspective on learning analytics.

The content integrates recent advances and innovative applications reflecting the current state of the art in the field.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
28 February 2017
Listed Since
22 December 2016

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