Technologies Artificial Intelligence And The Future Of Learning Post Covid 19

This book aims to assess the experience of education during COVID-19 pandemic and explore the future of application of technologies and artificial intelligence in education. Education delivery requires the support of new technologies such as artificial intelligence (AI), the Internet of Things (IoT), big data, and machine learning to fight and aspire to new diseases. The academic community and those interested in education agree that education after the corona pandemic will not be the same as before. The book also questions the role of accreditation bodies (e.g., AACSB, etc.) to ensure the effectiveness and efficiency of technology tools in achieving distinguished education in times of crisis.

The COVID-19 pandemic has shed light on how much humans rely, more than ever before in our history, on technology. While technology in its simplest definition is the use of a tool for a practical purpose, in the last three decades, educators can confidently say it has revolutionized how information is communicated and accessed. Most importantly, educators who had to recently shift their classes online understood the important role of technology to stay connected and instruct students remotely. There are many different facets of technology in today's classrooms and ideas on where educators are headed in preparing their students for a technology-rich world. With new technologies being constantly developed and new scenarios rising to the surface in the educational environment, the future of technology in the classroom is widespread, consistently growing, and always advancing with more technological reliance. Emerging Realities and the Future of Technology in the Classroom provides an understanding on how technology is integrated into today's classroom and how institutions can be further informed of the importance of technology in today's world. This book examines a variety of pertinent topics that look at the present and future potential roles of technology in the classroom. While highlighting topics such as STEM in online education, leadership and technology, new instructional models in online learning, and gaming in education, this book is essential for teachers across all disciplines and in higher education and K-12, school administrators, principals, instructional designers, librarians, media specialists, educational software developers, educational technologists, IT specialists, practitioners, researchers, academicians, and students interested in the current status of technology in the classroom and its potential role in education for the years ahead.

This open access book presents the proceedings of the first post COVID-19 conference on Education at the University of Sharjah, United Arab Emirates, on March 14-16, 2022. The book offers state-of-the-art approaches and methodologies in education post-COVID-19. It showcases emerging technology utilization in improving the quality of education, teaching and learning. It discusses the transformation of the curriculum, such as course design and delivery, assessment, and instructional methodologies that focus on employment readiness for the ever-evolving job market. Contributions include a wide range of topics such as online education, curriculum development, artificial intelligence, academic accreditation for hybrid & online learning. Given its scope, the book is essential reading for scholars, students, policy-makers, and education practitioners interested in a better understanding of technological innovations.

This book tackles the recent research directions in using the newly emerged technologies during the era of COVID-19 pandemic. It mainly focuses on using emerging technologies and their impact on health care, education, and society. It also provides insights into the current challenges and constraints in using technologies during the era of COVID-19 pandemic and exposes new opportunities for future research in the domain.

This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.

This book is dedicated to addressing the major challenges in fighting COVID-19 using artificial intelligence (AI) and machine learning (ML) – from cost and complexity to availability and accuracy. The aim of this book is to focus on both the design and implementation of AI-based approaches in proposed COVID-19 solutions that are enabled and supported by sensor networks, cloud computing, and 5G and beyond. This book presents research that contributes to the application of ML techniques to the problem of computer communication-assisted diagnosis of COVID-19 and similar diseases. The authors present the latest theoretical developments, real-world applications, and future perspectives on this topic. This book brings together a broad multidisciplinary community, aiming to integrate ideas, theories, models, and techniques from across different disciplines on intelligent solutions/systems, and to inform how cognitive systems in Next Generation Networks (NGN) should be designed, developed, and evaluated while exchanging and processing critical health information. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies.

ISC 2022 is dedicated to the Niti Aayog policies to promote sustainability through exchange of ideas emerging out of the academia. The ISC is an annual conference that is held in virtual mode until COVID restrictions on travel exist. The vision of the conference is to capacitate Academia with the necessary ideas that provide insights of the grassroot level development to various stakeholders of the Niti-Aayog policies. Towards this goal, the conference creates a conjunction of various stakeholders of Niti-Aayog policies that include- academic institutions, government bodies, policy makers and industry. The ISC organizers make concerted efforts to promote academic research that would technological, scientific, management & business practices, and insights into policy merits & disruptions. The framework of exchange of ideas is geared towards adoption of deep technologies, fundamental sciences & engineering, energy research, energy policies, advances in medicine & related case studies. This framework enables the round table discussions between the academia, industry and policy makers through its range of plenary and keynote speakers.

With a need to find alternatives to the traditional face-to-face teaching and learning during the pandemic, this topical volume discusses the best use of technologies in higher education, addressing the growing role of AI in the digital transformation of higher education systems. With chapters from eminent professors, researchers, and others involved in higher education from a selection of different countries, the volume looks at blockchain and IoT technologies to create smart universities now and for the future.