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Software data engineering for networ...

Caballe, Santi.

Software data engineering for network eLearning environmentsanalytics and awareness learning services /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Software data engineering for network eLearning environmentsedited by Santi Caballe, Jordi Conesa.
Reminder of title:	analytics and awareness learning services /
other author:	Caballe, Santi.
Published:	Cham :Springer International Publishing :2018.
Description:	xvii, 228 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	EducationData processing.
Online resource:	http://dx.doi.org/10.1007/978-3-319-68318-8
ISBN:	9783319683188$q(electronic bk.)

Software data engineering for network eLearning environmentsanalytics and awareness learning services /
Software data engineering for network eLearning environmentsanalytics and awareness learning services /[electronic resource] :edited by Santi Caballe, Jordi Conesa. - Cham :Springer International Publishing :2018. - xvii, 228 p. :ill. (some col.), digital ;24 cm. - Lecture notes on data engineering and communications technologies,v.112367-4512 ;. - Lecture notes on data engineering and communications technologies ;v.2..

This book presents original research on analytics and context awareness with regard to providing sophisticated learning services for all stakeholders in the eLearning context. It offers essential information on the definition, modeling, development and deployment of services for these stakeholders. Data analysis has long-since been a cornerstone of eLearning, supplying learners, teachers, researchers, managers and policymakers with valuable information on learning activities and design. With the rapid development of Internet technologies and sophisticated online learning environments, increasing volumes and varieties of data are being generated, and data analysis has moved on to more complex analysis techniques, such as educational data mining and learning analytics. Now powered by cloud technologies, online learning environments are capable of gathering and storing massive amounts of data in various formats, of tracking user-system and user-user interactions, and of delivering rich contextual information.

ISBN: 9783319683188$q(electronic bk.)

Standard No.: 10.1007/978-3-319-68318-8doiSubjects--Topical Terms:

207353
Education
--Data processing.

LC Class. No.: LB1028.43

Dewey Class. No.: 371.334

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