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.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
Academic
Illustrationen
1 s/w Photographie bzw. Rasterbild, 76 s/w Zeichnungen, 27 s/w Tabellen, 77 s/w Abbildungen
27 Tables, black and white; 76 Line drawings, black and white; 1 Halftones, black and white; 77 Illustrations, black and white
Maße
Höhe: 240 mm
Breite: 161 mm
Dicke: 25 mm
Gewicht
ISBN-13
978-1-032-74115-4 (9781032741154)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
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.
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 AI's 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
