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

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.

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About the Author

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

Product ID: K1032225084
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AED74497

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Type: Hardcover
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Imported From: United Kingdom

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Unless otherwise stated, all prices displayed on the product page include applicable taxes and import duties.

BOLO operates in accordance with the laws and regulations of United Arab Emirates. Any items found to be restricted or prohibited for sale within the UAE will be cancelled prior to shipment. We take proactive measures to ensure that only products permitted for sale in United Arab Emirates are listed on our website.

All items are shipped by air, and any products classified as “Dangerous Goods (DG)” under IATA regulations will be removed from the order and cancelled.

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

Product ID: K1032225084
Condition: New
Online Learning Systems: Methods and Applications with Large-Scale Data-0
Type: Hardcover

AED74497

Price includes VAT & Import Duties
Availability: In Stock

Quantity:

|

Order today to get by 7-14 business days

This item qualifies for free delivery

Returns & Warranty policies

Imported From: United Kingdom

At BOLO, we work hard to ensure the products you receive are new, genuine, and sourced from reputable suppliers.

BOLO is not an authorized or official retailer for most brands, nor are we affiliated with manufacturers unless specifically stated on a product page. Instead, we source verified sellers, authorized distributors or directly from the manufacturer.

Each product undergoes thorough inspection and verification at our consolidation and fulfilment centers to ensure it meets our strict authenticity and quality standards before being shipped and delivered to you.

If you ever have concerns regarding the authenticity of a product purchased from us, please contact Bolo Support. We will review your inquiry promptly and, if necessary, provide documentation verifying authenticity or offer a suitable resolution.

Your trust is our top priority, and we are committed to maintaining transparency and integrity in every transaction.

All product information, images, descriptions, and reviews originate from the manufacturer or from trusted sellers overseas. BOLO is not affiliated with, endorsed by, or an authorized retailer for most brands listed on our website unless stated otherwise.

While we strive to display accurate information, variations in packaging, labeling, instructions, or formulation may occasionally occur due to regional differences or supplier updates. For detailed or manufacturer-specific information, please contact the brand directly or reach out to BOLO Support for assistance.

Unless otherwise stated, all prices displayed on the product page include applicable taxes and import duties.

BOLO operates in accordance with the laws and regulations of United Arab Emirates. Any items found to be restricted or prohibited for sale within the UAE will be cancelled prior to shipment. We take proactive measures to ensure that only products permitted for sale in United Arab Emirates are listed on our website.

All items are shipped by air, and any products classified as “Dangerous Goods (DG)” under IATA regulations will be removed from the order and cancelled.

All orders are processed manually, and we make every effort to process them promptly once confirmed. Products cancelled due to the above reasons will be permanently removed from listings across the website.

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.

Read more

About the Author

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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