Data analytics in e-learning : approaches and applications / Marian Cristian Mihăescu, editor.

Unlimited

Authorized users

Can lend chapters, not whole ebooks

Data analytics in e-learning : approaches and applications / Marian Cristian Mihăescu, editor.

9783030966447 (electronic bk.)
3030966445 (electronic bk.)
9783030966430
3030966437

Cham : Springer, [2022]

©2022

English

1 online resource (vii, 165 pages : illustrations (some color)).

10.1007/978-3-030-96644-7 doi

LB1028.43 .D38 2022eb

371.33/4

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.

References.
Includes bibliographical references.

Access limited to authorized users.

text file PDF

Online resource; title from PDF title page (SpringerLink, viewed April 1, 2022).

Intelligent systems reference library ; v. 220.

Print version: 9783030966430

Online Resources > Ebooks
All Resources