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Machine Learning Paradigms : Advances in Learning Analytics - Maria Virvou

Machine Learning Paradigms

Advances in Learning Analytics

By: Maria Virvou (Editor), Efthimios Alepis (Editor), George A. Tsihrintzis (Editor), Lakhmi C. Jain (Editor)

eText | 16 March 2019

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This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators' and learners' data with the goal of improving education and learning systems. In this context, internationally respected researchers present various aspects of learning analytics and selected application areas, including:

• Using learning analytics to measure student engagement, to quantify the learning experience and to facilitate self-regulation;

• Using learning analytics to predict student performance;

• Using learning analytics to create learning materials and educational courses; and

• Using learning analytics as a tool to support learners and educators in synchronous and asynchronous eLearning.

The book offers a valuable asset for professors, researchers, scientists, engineers and students of all disciplines. Extensive bibliographies at the end of each chapter guide readers to probe further into their application areas of interest.

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You Can Find This eBook In

Non-FictionEngineering & TechnologyTechnology in GeneralEngineering in GeneralEducationEducational PsychologyComputing & I.T.DatabasesData MiningTeaching Skills & TechniquesMathematicsProbability & Statistics
Computer ScienceArtificial IntelligenceExpert Systems & Knowledge-Based Systems

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