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.
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.
* 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
* 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
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