Big Data Management- Educational Data Science: Essentials, Approaches, and Tendencies Proactive Education based on Empirical Big Data Evidence

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This book describes theoretical elements, practical approaches, and specialized tools that systematically organize, characterize, and analyze big data gathered from educational affairs and settings. Moreover, the book shows several inference criteria to leverage and produce descriptive, explanatory, and predictive closures to study and understand education phenomena at in classroom and online environments. This is why…

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SKU: ACUZVOP0286825014433
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Description

This book describes theoretical elements, practical approaches, and specialized tools that systematically organize, characterize, and analyze big data gathered from educational affairs and settings. Moreover, the book shows several inference criteria to leverage and produce descriptive, explanatory, and predictive closures to study and understand education phenomena at in classroom and online environments.

This is why diverse researchers and scholars contribute with valuable chapters to ground with well-–sounded theoretical and methodological constructs in the novel field of Educational Data Science (EDS), which examines academic big data repositories, as well as to introduces systematic reviews, reveals valuable insights, and promotes its application to extend its practice.

EDS as a transdisciplinary field relies on statistics, probability, machine learning, data mining, and analytics, in addition to biological, psychological, and neurological knowledge aboutlearning science. With this in mind, the book is devoted to those that are in charge of educational management, educators, pedagogues, academics, computer technologists, researchers, and postgraduate students, who pursue to acquire a conceptual, formal, and practical landscape of how to deploy EDS to build proactive, real- time, and reactive applications that personalize education, enhance teaching, and improve learning!

Chapter “Sync Ratio and Cluster Heat Map for Visualizing Student Engagement” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

LangueenVersionBrochéDate de sortie initiale01 mai 2024Nombre de pages291IllustrationsAvec illustrations

Personnes impliquées

Auteur principal

Alejandro Peña-Ayala

Rédacteur en chef

Alejandro Pena-Ayala

Editeur principal

Springer Verlag, Singapore

Informations sur le fabricant

Nom du fabricantSpringer Nature Customer Service Center GmbHAdresse du fabricant– 69115 – – DEAdresse électronique du fabricant[email protected]Informations sur le fabricantLes informations du fabricant ne sont actuellement pas disponibles

Autres spécifications

Hauteur de l’emballage17 mmLargeur d’emballage155 mmLargeur du produit155 mmLivre d‘étudeNonLongueur d’emballage235 mmLongueur du produit235 mmPoids de l’emballage476 gÉdition2023

EAN

EAN9789819900282

Sécurité des produits

Opérateur économique responsable dans l’UE

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Ordinateurs et Informatique

Technologies informatiques

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Intelligence artificielle

Exploration de données

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Anglais

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Paperback

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