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Machine Learning Paradigms : Advances in Learning Analytics / / edited by Maria Virvou, Efthimios Alepis, George A. Tsihrintzis, Lakhmi C. Jain



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Titolo: Machine Learning Paradigms : Advances in Learning Analytics / / edited by Maria Virvou, Efthimios Alepis, George A. Tsihrintzis, Lakhmi C. Jain Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (230 pages)
Disciplina: 371.334
Soggetto topico: Computational intelligence
Artificial intelligence
Learning
Instruction
Data mining
Computational Intelligence
Artificial Intelligence
Learning & Instruction
Data Mining and Knowledge Discovery
Persona (resp. second.): VirvouMaria
AlepisEfthimios
TsihrintzisGeorge A
JainLakhmi C
Sommario/riassunto: 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.
Titolo autorizzato: Machine Learning Paradigms  Visualizza cluster
ISBN: 3-030-13743-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910484339003321
Lo trovi qui: Univ. Federico II
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Serie: Intelligent Systems Reference Library, . 1868-4394 ; ; 158