Data Analytics in e-Learning: Approaches and Applications (9783030966430)

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.

Product details

• Format Hardback | 165 pages
• Dimensions 155 x 235 x 11.18mm | 436g
• Publication date 23 Mar 2022
• Publisher Springer Nature Switzerland AG
• Publication City/Country Cham, Switzerland
• Language English
• Edition Statement 1st ed. 2022
• Illustrations note 21 Illustrations, color; 43 Illustrations, black and white; VII, 165 p. 64 illus., 21 illus. in color.
• ISBN10 3030966437
• ISBN13 9783030966430

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