オンライン学習システム Online Learning Systems : Methods and Applications with Large-Scale Data

オンライン学習システム<br>Online Learning Systems : Methods and Applications with Large-Scale Data

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オンライン学習システム
Online Learning Systems : Methods and Applications with Large-Scale Data

Polkowski, Zdzislaw (EDT)/ Borah, Samarjeet (EDT)/ Mishra, Sambit Kumar (EDT)

ウェブストア価格 ¥28,976（本体¥26,342）
CRC Press（2023/02発売）
外貨定価 US$ 140.00
ポイント 263pt

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製本 Hardcover:ハードカバー版／ページ数 178 p.
言語 ENG
商品コード 9781032225081
DDC分類 378.17344678

Full Description

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.

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.