Cloud Computing for Smart Education and Collaborative Learning

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.

Author Biography

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, 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.