E-learning Methodologies - Fundamentals, technologies and applications

This book 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.

List of contents

• 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


• 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: Book or Bane during COVID-19


• 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

Summary

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.

Product details

• Assisted by: Mukta Goyal (Editor), Mukta (Assistant Professor Goyal (Editor), Rajalakshmi Krishnamurthi (Editor), Rajalakshmi (Assistant Professor Krishnamurthi (Editor), Divakar Yadav (Editor), Divakar (Associate Professor Yadav (Editor)
• Publisher: Institution of Engineering and Technology
• Languages: English
• Product format: Hardback
• Released: 30.04.2021
• EAN: 9781839531200
• ISBN: 978-1-83953-120-0
• No. of pages: 352
• Series: Computing and Networks
• Subjects: Education and learning > Learning aids/university-entrance diploma theory; Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering