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Data Analytics in e-Learning: Approaches and Applications

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Data Analytics in e-Learning: Approaches and Applications/ edited by Marian Cristian Mihăescu.
other author:	Mihăescu, Marian Cristian.
Description:	VII, 165 p. 64 illus., 21 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Engineering—Data processing. -
Online resource:	https://doi.org/10.1007/978-3-030-96644-7
ISBN:	9783030966447

Data Analytics in e-Learning: Approaches and Applications
Data Analytics in e-Learning: Approaches and Applications[electronic resource] /edited by Marian Cristian Mihăescu. - 1st ed. 2022. - VII, 165 p. 64 illus., 21 illus. in color.online resource. - Intelligent Systems Reference Library,2201868-4408 ;. - Intelligent Systems Reference Library,67.

This book focuses on research and development aspects of building data analytics workflows that address various challenges of e-learning applications. This book represents a guideline for building a data analysis workflow from scratch. Each chapter presents a step of the entire workflow, starting from an available dataset and continuing with building interpretable models, enhancing models, and tackling aspects of evaluating engagement and usability. The related work shows that many papers have focused on machine learning usage and advancement within e-learning systems. However, limited discussions have been found on presenting a detailed complete roadmap from the raw dataset up to the engagement and usability issues. Practical examples and guidelines are provided for designing and implementing new algorithms that address specific problems or functionalities. This roadmap represents a potential resource for various advances of researchers and practitioners in educational data mining and learning analytics.

ISBN: 9783030966447

Standard No.: 10.1007/978-3-030-96644-7doiSubjects--Topical Terms:

1297966
Engineering—Data processing.

LC Class. No.: TA345-345.5

Dewey Class. No.: 620.00285

Data Analytics in e-Learning: Approaches and Applications
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