Shulph Ink
Data Analytics in e-Learning: Approaches and Applications
Data Analytics in e-Learning: Approaches and Applications
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- More about Data Analytics in e-Learning: Approaches and Applications
This book provides a roadmap for building data analytics workflows in e-learning applications, covering steps from raw datasets to interpretable models, enhancement, and evaluation of engagement and usability. It offers practical examples and guidelines for designing and implementing new algorithms, making it a valuable resource for researchers and practitioners in educational datamining and learning analytics.
Format: Paperback / softback
Length: 165 pages
Publication date: 24 March 2023
Publisher: Springer Nature Switzerland AG
This comprehensive book delves into the intricate realm of research and development in constructing data analytics workflows tailored to address the diverse challenges faced by e-learning applications. It serves as a valuable guide for building a data analysis workflow from the ground up, encompassing each step of the process, from accessing and preprocessing available datasets to developing interpretable models, refining models, and addressing key aspects of evaluating engagement and usability.
Through a thorough examination of related work, the book highlights the significant emphasis on machine learning usage and advancements within e-learning systems. However, it identifies a gap in comprehensive discussions that provide a detailed roadmap from raw datasets to addressing engagement and usability issues. To bridge this gap, practical examples and guidelines are presented, offering insights into designing and implementing novel algorithms that specifically address specific problems or functionalities within the realm of educational data mining and learning analytics.
This roadmap serves as a valuable resource for researchers and practitioners alike, providing a roadmap for advancing the field and unlocking new opportunities for innovation and improvement in the world of e-learning. By leveraging the insights and techniques outlined in this book, stakeholders can enhance the effectiveness and efficiency of their data analysis processes, ultimately driving positive outcomes in the education sector.
Weight: 279g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030966461
Edition number: 1st ed. 2022
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