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Herausgeber: 
  • Lakhmi C. Jain
  • Maria Virvou
  • George A. Tsihrintzis
  • Efthimios Alepis
  • Machine Learning Paradigms: Advances in Learning Analytics 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  März 2019  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Artificial Intelligence / B / Cognition & cognitive psychology / Computational Intelligence / Data Mining / Data Mining and Knowledge Discovery / Education / engineering
    ISBN:  9783030137427 
    EAN-Code: 
    9783030137427 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #158 - Intelligent Systems Reference Library  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  530 gr 
    Seiten:  223 
    Illustration:  XVI, 223 p. 60 illus., 29 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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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