Online Learning Systems: Methods and Applications with Large-Scale Data

ISBN-13: 9781032225081 / Angielski / Twarda / 2023 / 192 str.

Polkowski, Zdzislaw

Opis

This book discusses the newest approach to online learning systems in higher education. As e-learning platforms change their mechanisms for data processing and storage towards being more efficient and smarter, this book covers online learning systems and their application to large scaled data along with the technological aspects.

Spis treści

1. Classification of Slow and Fast Learners Using a Deep Learning Model.  2. Transformative e-Learning: An IT Perspective on Education During Covid-19.  3. Ecological Footprint Assessment of e-Learning in India.  4. The Environmental Impact of Online Education.  5. Transformation of Communication Rituals in Remote Learning.  6. Analysis of Large-Scale Data Linked to Online Platform Using Evolutionary Computing Mechanisms: A Case Study.  7. A Study on Online Learning Systems' Identification with Security Schemes and Applications.  8. A Study on the Impact of Mobility on the Performance of Routing Protocols in MANET-Based Online Learning Platforms.  9. Comparison between TRANSPOSE and MTF Algorithm with Closure Property.  10. An Advanced Transpose Algorithm Using the Hash Function with Partial Cost Model.  11. Study on Provisions for Continuity with Online Education.  12. Prediction of Selection of Communication Tools and Platforms to Support Education 4.0 in India.  13. A Detailed Review on 6G Technology: Online Learning System Applications, Challenges and Research Activities.