This edited volume recognises the need to cultivate a critical and acute understanding of AI technologies amongst primary and elementary school children, enabling them to meet the challenge of a human- and ethically oriented management of AI technologies. Focusing on school settings from both the national and international level to form comparative case studies, chapters present a robust conceptual and foundational framework within a global context as the idea of AI and our relationship to it advances apace. The book uses research garnered from interviews and observational data, qualitative and quantitative research, and theoretical findings gathered from single schools or institutions across the world. Providing an innovative perspective in promoting the importance of a critical, creative and ethical orientation based on aesthetic experiences, the book focuses on development in areas like visual arts, literature, environmental education, robotics, photography and screen education, movement and play. Ultimately, the book responds to an urgent and time-sensitive call to provide guidance on AI to primary education researchers and will be of interest to academics, scholars and researchers in the fields of primary and elementary education, technology in education, children's rights education, and moral and values education more broadly.

This novel volume delves into a specific and crucial aspect of early years pedagogy – the intersection between early childhood education and spirituality, offering tips on nurturing spirituality and a sense of connectedness with nature through outdoor learning. With experience both as a scholar and a teacher, the author delves into the ontological and epistemological issues related to outdoor learning and education while keeping accessibility and sustainability at the centre of the volume. Chapters take a comprehensive approach to the exploration of children's innate spirituality and their connection with nature in the context of early childhood education, fusing elements such as a critique of early years policy with philosophy of education and children’s mental health. Using a robust theoretical foundation incorporating philosophical figures such as Froebel, McMillan, Montessori, Dewey and Freire, as well as the inclusion of practical examples from educational settings designed for real-world scenarios, this book reinvigorates the conversation around the holistic development of children by emphasising the importance of nature and child-centred pedagogies. Ultimately exploring avenues that can foster a sense of well-being and social responsibility in children, the book will be of interest to researchers, educators and teacher trainers in the field of early childhood education, environmental education, philosophy of education and teacher education. Policy makers and school leaders may also benefit from this volume.

Companies in developing countries are adopting Artificial Intelligence applications to increase efficiency and open new markets for their products. This book explores the multifarious capabilities and applications of AI in the context of these emerging economies and its role as a driver for decision making in current management practices. Artificial Intelligence Enabled Management argues that the economic problems facing academics, professionals, managers, governments, businesses and those at the bottom of the economic pyramid have a technical solution that relates to AI. Businesses in developing countries are using cutting-edge AI-based solutions to improve autonomous delivery of goods and services, implement automation of production and develop mobile apps for services and access to credit. By integrating data from websites, social media and conventional channels, companies are developing data management platforms, good business plans and creative business models. By increasing productivity, automating business processes, financial solutions and government services, AI can drive economic growth in these emerging economies. Public and private sectors can work together to find innovative solutions that simultaneously alleviate poverty and inequality and increase economic mobility and prosperity. The thought-provoking contributions in this book also bring attention to new barriers that have emerged in the acceptance, use, integration and deployment of AI by businesses in developing countries and explore the often-overlooked drawbacks of AI adoption that can hinder or even cause value loss. The book is a must-read for policymakers, researchers, and anyone interested in understanding the critical role of AI in the emerging economy perspective.

Management and Information Technology in the Digital Era: Challenges and Perspectives explores the management and practical implications of digital information management to provide theoretical insight for managers and researchers to co-create their technology values and better understand its prospects and challenges.

The Ethics of Artificial Intelligence in Education identifies and confronts key ethical issues generated over years of AI research, development, and deployment in learning contexts. Adaptive, automated, and data-driven education systems are increasingly being implemented in universities, schools, and corporate training worldwide, but the ethical consequences of engaging with these technologies remain unexplored. Featuring expert perspectives from inside and outside the AIED scholarly community, this book provides AI researchers, learning scientists, educational technologists, and others with questions, frameworks, guidelines, policies, and regulations to ensure the positive impact of artificial intelligence in learning.

The purpose of this book is to provide a model that speaks specifically to adopting Information Technology Governance (ITG) and University Governance processes. Utilizing numerous studies, investigations and research on IT and University Governance and adapting previous and future proposed models for the current pandemic, the book speaks specifically to adopting effective ITG and University Governance processes. The book comprises a number of chapters contributed by leading international authors which analyze all aspects of IT and University Governance in relation to their impact on strategies in Finance, Sustainability, Academic, Research, Students and Faculty, Leadership, Campus, Employment and Recruitment, Quality Assurance, External and Industrial Relations, Internationalization, Transformation, and Board and Scholarship. Findings from the research conducted by these leading authors provide solutions for higher education institutions in planning and allocating IT resources, managing the ownership of IT and other business projects while developing strategic committees and providing appropriate governance within the context of institutional objectives.

This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi’an, China in October 2020. The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.

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 complexity of managing and modeling various systems, from social networks to educational institutions and technical systems, has reached unprecedented levels. Traditional approaches struggle to keep pace with the dynamic nature of these challenges, leaving scholars, educators, and professionals searching for innovative solutions. This growing problem calls for a comprehensive guide to harnessing the potential of digital technologies for effective modeling and management. Educational Perspectives on Digital Technologies in Modeling and Management is a groundbreaking book that addresses the pressing need for modern solutions to keep up with the evolving challenges of modeling systems. This research book emerges from the collaborative efforts of teaching staff from leading universities, and years of dedicated scientific research and experimentation. It focuses on modeling complex systems using digital technologies, presenting fresh insights and innovative methodologies for academics, scholars, and aspiring professionals who are delving into the world of digitalization of economic processes and their management. The text caters to the specific needs of educators, IT professionals, and business analysts. Covering a wide array of topics, from information security to speaker verification and turbulent gas flow, this book serves as a valuable resource for a diverse audience seeking to excel in their respective fields.