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E-Learning Methodologies: Fundamentals, Technologies And Applications
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eBay item number:184949595816
Item specifics
- Condition
- Book Title
- E-Learning Methodologies: Fundamentals, Technologies And App...
- Item Weight
- 0 lbs
- ISBN
- 9781839531200
- Subject Area
- Computers, Education
- Publication Name
- E-Learning Methodologies : Fundamentals, Technologies and Applications
- Publisher
- Institution of Engineering & Technology
- Item Length
- 9.2 in
- Subject
- Educational Software, General
- Publication Year
- 2021
- Series
- Computing and Networks Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Width
- 6.1 in
- Number of Pages
- 352 Pages
About this product
Product Identifiers
Publisher
Institution of Engineering & Technology
ISBN-10
1839531207
ISBN-13
9781839531200
eBay Product ID (ePID)
10050392016
Product Key Features
Number of Pages
352 Pages
Publication Name
E-Learning Methodologies : Fundamentals, Technologies and Applications
Language
English
Publication Year
2021
Subject
Educational Software, General
Type
Textbook
Subject Area
Computers, Education
Series
Computing and Networks Ser.
Format
Hardcover
Dimensions
Item Length
9.2 in
Item Width
6.1 in
Additional Product Features
Intended Audience
College Audience
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
371.334
Table Of Content
Part I: Introduction and pedagogies of e-learning systems with intelligent techniques Chapter 1: Introduction Chapter 2: Goal-oriented adaptive e-learning Chapter 3: Predicting students' behavioural engagement in microlearning using learning analytics model Chapter 4: Student performance prediction for adaptive e-learning systems Part II: Technologies in e-learning Chapter 5: AI in e-learning Chapter 6: Mobile learning as the future of e-learning Chapter 7: Smart e-learning transition using big data: perspectives and opportunities Chapter 8: E-learning using big data and cloud computing Chapter 9: E-learning through virtual laboratory environment: developing of IoT workshop course based on Node-RED Chapter 10: Mnemonics in e-learning using augmented reality Chapter 11: E-learning tools and smart campus: boon or bane during COVID-19 Part III: Case studies Chapter 12: Bioinformatics algorithms: course, teaching pedagogy and assessment Chapter 13: Active learning in E-learning: a case study to teach elliptic curve cryptosystem, its fast computational algorithms and authentication protocols for resource constraint RFID-sensor integrated mobile devices Chapter 14: Conclusion agogy and assessment Chapter 13: Active learning in E-learning: a case study to teach elliptic curve cryptosystem, its fast computational algorithms and authentication protocols for resource constraint RFID-sensor integrated mobile devices Chapter 14: Conclusion h virtual laboratory environment: developing of IoT workshop course based on Node-RED Chapter 10: Mnemonics in e-learning using augmented reality Chapter 11: E-learning tools and smart campus: boon or bane during COVID-19 Part III: Case studies Chapter 12: Bioinformatics algorithms: course, teaching pedagogy and assessment Chapter 13: Active learning in E-learning: a case study to teach elliptic curve cryptosystem, its fast computational algorithms and authentication protocols for resource constraint RFID-sensor integrated mobile devices Chapter 14: Conclusion agogy and assessment Chapter 13: Active learning in E-learning: a case study to teach elliptic curve cryptosystem, its fast computational algorithms and authentication protocols for resource constraint RFID-sensor integrated mobile devices Chapter 14: Conclusion osystem, its fast computational algorithms and authentication protocols for resource constraint RFID-sensor integrated mobile devices Chapter 14: Conclusion
Synopsis
This book covers state of the art topics including user modeling for e-learning systems and cloud, IOT, and mobile-based frameworks. It also considers security challenges and ethical conduct using Blockchain technology., E-learning has become an important part of our educational life with the development of e-learning systems and platforms and the need for online and remote learning. ICT and computational intelligence techniques are being used to design more intelligent and adaptive systems. However, the art of designing good real-time e-learning systems is difficult as different aspects of learning need to be considered including challenges such as learning rates, involvement, knowledge, qualifications, as well as networking and security issues. The earlier concepts of standalone integrated virtual e-learning systems have been greatly enhanced with emerging technologies such as cloud computing, mobile computing, big data, Internet of Things (IoT), AI and machine learning, and AR/VT technologies. With this book, the editors and authors wish to help researchers, scholars, professionals, lecturers, instructors, developers, and designers understand the fundamental concepts, challenges, methodologies and technologies for the design of performant and reliable intelligent and adaptive real time e-learning systems and platforms. This edited volume covers state of the art topics including user modeling for e-learning systems and cloud, IOT, and mobile-based frameworks. It also considers security challenges and ethical conduct using Blockchain technology. odologies and technologies for the design of performant and reliable intelligent and adaptive real time e-learning systems and platforms. This edited volume covers state of the art topics including user modeling for e-learning systems and cloud, IOT, and mobile-based frameworks. It also considers security challenges and ethical conduct using Blockchain technology.odologies and technologies for the design of performant and reliable intelligent and adaptive real time e-learning systems and platforms. This edited volume covers state of the art topics including user modeling for e-learning systems and cloud, IOT, and mobile-based frameworks. It also considers security challenges and ethical conduct using Blockchain technology.odologies and technologies for the design of performant and reliable intelligent and adaptive real time e-learning systems and platforms. This edited volume covers state of the art topics including user modeling for e-learning systems and cloud, IOT, and mobile-based frameworks. It also considers security challenges and ethical conduct using Blockchain technology., E-learning has become an important part of our educational life with the development of e-learning systems and platforms and the need for online and remote learning. ICT and computational intelligence techniques are being used to design more intelligent and adaptive systems. However, the art of designing good real-time e-learning systems is difficult as different aspects of learning need to be considered including challenges such as learning rates, involvement, knowledge, qualifications, as well as networking and security issues. The earlier concepts of standalone integrated virtual e-learning systems have been greatly enhanced with emerging technologies such as cloud computing, mobile computing, big data, Internet of Things (IoT), AI and machine learning, and AR/VT technologies. With this book, the editors and authors wish to help researchers, scholars, professionals, lecturers, instructors, developers, and designers understand the fundamental concepts, challenges, methodologies and technologies for the design of performant and reliable intelligent and adaptive real time e-learning systems and platforms. This edited volume covers state of the art topics including user modeling for e-learning systems and cloud, IOT, and mobile-based frameworks. It also considers security challenges and ethical conduct using Blockchain technology.
LC Classification Number
LB1028.5
Copyright Date
2021
ebay_catalog_id
4
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Seller assumes all responsibility for this listing.
eBay item number:184949595816
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