"The book presents next-generation education technology and the pedagogy of the Education Cloud. It covers technological developments, case studies, innovative research approaches and solutions for advanced learning paradigms using IoT, cloud computing, and machine learning to handle various challenges of the smart education system. It discussed cloud architecture, management, and framework for education from virtual classrooms and labs. It shows how cloud computing framework can be integrated with fog computing, edge computing, deep learning and IOT. Illustrates from fundamental theories to practical and sophisticated applications of Cloud Technology for the Education domain Explores e-learning applications through location-independent cloud services toreduce cost Covers result-oriented, real-time solutions for smart accessible education and its real-time application support Discusses accessible cloud services for people with special needs Presents flexible and scalable cost-effective E-Learning Architecture and Scenario for Education Technology It serves as a valuable resource for academicians, researchers and professionals interested in smart Education and Cloud Technology"--
The book presents next-generation education technology and the pedagogy of the Education Cloud. It covers technological developments, case studies, innovative research approaches, and solutions for advanced learning paradigms using Internet of Things (IoT), cloud computing, and machine learning to handle various challenges of the smart education system. It discusses cloud architecture, management, and frame- work for education from virtual classrooms and labs. It shows how cloud computing framework can be integrated with fog computing, edge computing, deep learning, and IoT.
Illustrates from fundamental theories to practical and sophisticated applications of cloud technology for the education domain
Explores e-learning applications through location-independent cloud services to reduce cost
Covers result-oriented, real-time solutions for smart, accessible education and its real-time
application support
Discusses accessible cloud services for people with special needs
Presents flexible and scalable cost-effective e-learning architecture and scenario for education technology
It serves as a valuable resource for academicians, researchers, and professionals interested in smart education and cloud technology.
The book presents next-generation education technology and the pedagogy of the Education Cloud. It covers technological developments, case studies, innovative research approaches and solutions for advanced learning paradigms using IoT, cloud computing, and machine learning to handle various challenges of the smart education system.
SECTION 1: Educational Clouds: A Prologue
1. Smart Learning
Environments: Enhancing E-Learning with Cloud-Based Infrastructures
2.
Cloud-Based Learning: Reconceptualizing Educational Excellences
3. The
Educational Cloud: A Landscape of Promise and Peril
4. Envisioning Tomorrow:
Educational Clouds in Future Education
5. Unveiling E-Learning's Potential: A
Cloud-Based Multidimensional Approach
6. Scale of Advancements in Smart
Education and E-Study Using Cloud Authoring Tools
7. Enhancing Virtual
Learning with Cloud Computing Paradigm SECTION 2 Pedagogical Changes and
Multi-faceted Aspects of Clouds in E-learning
8. Transformative Pedagogy:
Collaborative Learning with Cloud Architecture and Virtual Programming Labs
9. Challenges and Solutions in Industrial IoT Education after Navigating the
Cloud
10. Cloud-Powered Distance Learning: Breaking Geographical Barriers in
Education
11. The Comprehensive Study for Enhancing Security in Cloud-based
Learning Environments through Blockchain
12. Unveiling Synergy: Explainable
AIs Role in Enhancing Cloud-Based Collaborative Learning in the Cloud Era
SECTION 3 Challenges and Solutions in Educational Clouds
13. Optimizing
Learning Environments: A Critical Review of Unified Cloud-Based
Platforms for Educational Resource Management
14. Navigating the Legal and
Ethical Aspects of Cloud-Based Education
15. Navigating Remote Learning:
Cloud-Powered Tools Transforming Education
16. Leveraging Multicloud
Technology for Seamless Education In Rural Areas
17. Framework for Bridging
the Skill Gap between Higher Education Institutions and Industry: A Machine
Learning Approach SECTION 4 Panoramic Applications of Educational Clouds
18.
E-learning Recommender System for Deaf and Hard of Hearing Learners
19.
Unlocking the Potential of Educational Cloud Platforms for Differently Abled
People
20. E-Interpretation System: Smart Document Learning System using
Educational Clouds
21. Revolutionizing Education: The Multifaceted Role of
Cloud in Modern e-Learning Environment
22. Cloud based Secured Examination
System for Collaborative Learning
23. Role of Educational Clouds in
Transformation of Higher Education
24. Leveraging Educational Clouds for
Empowering Rural Education
25. Building an Interactive Programming Learning
Platform with MEAN Stack: Integrating Chatter Bots and Best Programming
Practices
26. From Screens to Classrooms: A Comprehensive Study of
E-Learning, M-Learning, and Face-to-Face Learning
Urmila Shrawankar received PhD degree in Computer Sci & Engg from SGB Amravati University and M.Tech. Degree in Computer Sci & Engg from RTM Nagpur University. Currently Dr. Urmila is working as a Professor and Director, School of Computer Science and Engineering, Ramdeobaba University Nagpur (MS), India. Her areas of interest include High performance Computing, Advanced Operating Systems, Distributed and Parallel Computing, Cloud Computing, Real Time Computing, Algorithms, Assistive Technology etc. She is a recipient of 5 research grants. She has 6 granted, 12 published patents and 18 Copyrights registered. She is author of 2 books, 3 books editor, 25 book chapters and around 200 research papers in International Journals and Conferences of high repute. She has served as a part of the editorial boards, advisory boards and reviewer boards for many journals. She has participated in many international conferences worldwide as a Core Organizing Committee member, Technical Program Committee member, Special Session Chair and Session Chair. Dr Urmila is member of IEEE (SM), ACM(SM), CSI (LM), ISTE (LM), IE (LM), IAENG, etc.
Prerna Mishra received PhD degree in Computer Sci & Engg from IIIT Raipur and M.Tech. Degree in Computer Sci & Engg from RTM Nagpur University. At present, Dr. Prerna is working as an Assistant Professor, Department of Computer Science and Engineering, IIIT Nagpur, India. Her Area of interest includes Image interpretation, Document Processing and Analysis; Computer Vision; Human-Computer Interaction, Activity Recognition and Description; Image Reconstruction, Assistive Technology etc. She has edited 1 book, published more than 15 research papers in International Journals and Conferences of high repute, 3 book chapters and 2 published patents. She is serving as reviewer for many refereed Journals and reputed Conferences. She is member of IEEE, CSI (LM), ISTE (LM), IE (LM), IAENG, etc.
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