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, there is a need to move these systems toward being more efficient and smarter. This book covers online learning systems and their application to large-scale data along with the technological aspects of these processes and problem-solving methods.

Online Learning Systems: Methods and Applications with Large-Scale Data discusses the efficiency measurement and environmental impact of online education. The book offers a parametric evaluation and categorization of online learning systems and provides an exploration of big data ecosystems in cloud computing. Descriptive analytical methods that assist in finding solutions for big data challenges are also covered within the book.

The book is written for academicians, which includes teachers, students, and higher education policymakers who believe in transforming the education industry, as well as research scholars and those working in education technology and artificial intelligence. Industry professionals involved in education management and those working in e-Learning companies will also find this book useful.

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Yes, you can access Online Learning Systems by Zdzislaw Polkowski, Samarjeet Borah, Sambit Kumar Mishra, Darshana Desai, Zdzislaw Polkowski,Samarjeet Borah,Sambit Kumar Mishra,Darshana Desai in PDF and/or ePUB format, as well as other popular books in Business & Software Development. We have over one million books available in our catalogue for you to explore.

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Index

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

About this book

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