Data Analytics in E-learning: Approaches and Applications: 220 - Rilegato

Rilegato

ISBN 10: 3030966437 ISBN 13: 9783030966430

Casa editrice: Springer-Nature New York Inc, 2022

Riassunto

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 datamining and learning analytics.

Su questo libro

Informazioni sull'autore

Marian Cristian Mihaescu is Associate Professor at the Department of Computer Science and Information Technologies, Faculty of Automatics, Computers and Electronics, University of Craiova, Romania. He has published over 70 articles refereed journals, conference proceedings, and chapters. He is Co-founder of Tesys e-Learning system currently running at the University of Craiova, while more than 15 articles are related to its research issues. He has taught the course “Educational Data Mining” at Tallinn University at doctorate level and was Visiting Researcher at “Knowledge Discovery and Intelligent Systems” research group at the University of Cordoba during his postdoctoral program with the title “Software system for enhancing the quality of educational services offered by e-learning platforms” during 2010–2012.

Dalla quarta di copertina

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 datamining and learning analytics.

Dettagli dell'edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 3030966437
• ISBN 13: 9783030966430
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 176
• Redattore: Mihaescu Marian Cristian
• Contatto del produttore: GPSR Kontakt; ProductSafety@springernature.com; ; Tiergartenstr. 17; Heidelberg; 69121; Germania