Overview

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.

Full Product Details

Author:   Zdzislaw Polkowski (Karkonosze State Univ of Appl. Sci., Jelenia Góra) ,  Samarjeet Borah (Sikkim Manipal Inst. of Tech., India) ,  Sambit Kumar Mishra (Gandhi Inst. for Edu. and Tech., India) ,  Darshana Desai (Indira College of Engineering & Management)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.403kg
ISBN:  

9781032225081

ISBN 10:   1032225084
Pages:   178
Publication Date:   10 February 2023
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

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.

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Author Information

Dr. Zdzislaw Polkowski is presently an Adjunct Professor in the Department of Business Intelligence and Management at the Wroclaw University of Economics and Business, Poland. He holds a Ph.D. degree in Computer Science and Management from the Wroclaw University of Technology, a Post Graduate degree in Microcomputer Systems in Management from the University of Economics in Wroclaw, and a Post Graduate degree in IT in Education from the Economics University in Katowice. He obtained his Engineering degree in Industrial Computer Systems from the Technical University of Zielona, Gora. Dr. Polkowski has published more than 55 papers in various journals, 15 conference proceedings, including more than 8 papers in journals indexed in the Web of Science. He has served as a member of the Technical Program Committee at many international conferences in Poland, India, China, Iran, Romania, and Bulgaria. Dr. Samarjeet Borah is currently working as a Professor in the Department of Computer Applications, SMIT, Sikkim Manipal University (SMU), India. Dr. Borah handles various academics, research, and administrative activities such as curriculum development, Board of Studies, Doctoral Research Committee, and IT Infrastructure Management at the Sikkim Manipal University. Dr. Borah is involved with various funded projects from AICTE (Govt. of India), and DST-CSRI (Govt. of India) in the capacity of Principal Investigator/Co-principal Investigator. He has organized various national and international conferences and is involved with various books and journals with various publishers in the capacity of Editor/Guest Editor/Reviewer. Dr. Borah is editor-in-chief of the book/proceedings series – Research Notes on Computing and Communication Sciences, Apple Academic Press, USA. Dr. Sambit Kumar Mishra has more than 22 years of teaching experience in different AICTE approved institutions in India. He obtained his Bachelor Degree in Engineering in Computer Engineering from the Amravati University, Maharashtra, India in 1991, his M.Tech. in Computer Science from the Indian School of Mines, Dhanbad (now IIT, Dhanbad), India in 1998, and his Ph.D. in Computer Science and Engineering from the Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, India in 2015. He has more than 29 publications in different peer-reviewed international journals and is an editorial board member of different peer-reviewed indexed journals. Presently Dr. Mishra is associated with the Gandhi Institute for Education and Technology, Baniatangi, Bhubaneswar, Odisha, India. Dr. Darshana Desai is an Associate Professor and Dept. Head of the MCA Department at the Indira College of Engineering and Management, which is an affiliated institute of the Savitribai Phule Pune University, India. She received her Ph.D. degree from the Gujarat Technological University in August 2017 in the area of IT Management with the subject of Website Personalization. She has a total of 17+ years of experience in academia and industry and has published more than 21 research papers and book chapters with internationally recognized publishers indexed in Scopus, Pro-Quest, etc., and peer-reviewed Journals. Dr. Desai is interested in interdisciplinary research in the areas of Website Personalization, Machine Learning, Artificial Intelligence, Cognitive Science, Data Science, and its applications.

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