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Transforming the Language Teaching Experience in the Age of AI , edited by Galip Kartal, is a vital resource that addresses the evolving challenges in language education due to technological advancements. This book offers a comprehensive analysis of AI's impact on language education, providing innovative research, practical insights, and interdisciplinary collaboration opportunities. From AI-driven language learning methods to ethical considerations, the book equips educators, policymakers, and researchers with valuable insights to shape effective educational strategies and policies, inspiring the adoption of innovative approaches that harness AI's potential to enhance language teaching. Through successful case studies and forward-thinking perspectives, Transforming the Language Teaching Experience in the Age of AI envisions a future where AI-driven methodologies redefine global language education. This publication not only facilitates a deeper understanding of AI's role in language education but also fosters a shared vision among educators and researchers, promoting a transformative and collaborative learning experience for students worldwide.

In today's modern world, it is critical for countries and businesses to implement sustainable practices in order to evolve and grow. The African economy is one such area that requires further study and consideration to ensure it can thrive in the coming years. Energy Transition in the African Economy Post 2050 emphasizes the need for Sub-Saharan African countries to lay an enduring foundation for sustainable development and considers different ways this can be done as well as the associated challenges. Covering topics such as policy, public financing, climate finance, and clean energy, this reference source is ideal for government officials, policymakers, business owners, managers, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

In the realm of psychological and brain sciences, there is a growing urgency to refine individual performance using personalized interventions that account for unique cognitive and biological attributes. Yet, the quest for such tailored approaches has proven challenging, as conventional methods often fall short. The limited integration of domain expertise and human judgment curtails the potential of artificial intelligence (AI) in effectively optimizing human performance, particularly in areas like customized training, health monitoring, and cognitive enhancement. Bridging the gap between AI capabilities and the specific requirements of individuals becomes crucial in meeting this rising demand. Advances in Artificial and Human Intelligence in the Modern Era present a transformative solution to tackle the prevailing challenges at the intersection of AI and human performance enhancement. This book delves deeply into the latest empirical research, literature reviews, and methodological advancements to introduce precision AI techniques for personalized interventions. By examining how the amalgamation of domain expertise and human insights can enhance AI performance, the book establishes a comprehensive framework for modeling individual distinctions and devising effective, tailored AI approaches. Tailored for academic scholars and researchers in psychological and brain sciences, computer science, and related fields, this book provides a comprehensive exploration of pioneering advancements in the convergence of artificial and human intelligence. Its diverse chapters encompass a wide array of topics, including the identification of mental health concerns, integration of human intelligence into AI tools, enhancement of reliability, and exploration of data standards. As it fuses expertise from these two disciplines, the book paves the way for a new era of personalized interventions with the potential to revolutionize human cognitive enhancement, training, and overall well-being.

In the competitive world of the tourism sector, effective human resources management has become a critical factor in determining the success and sustainability of organizations. Human Relations Management in Tourism delves into the key aspects of this essential discipline, exploring the intersection of marketing management, human resource management, and the latest trends in the tourism industry. As the world faces unprecedented challenges and other crises, the book highlights the enduring effects on individuals, businesses, communities, and destinations. Occupational stress, an ongoing concern in the hospitality industry, can lead to conflict among team members or between employees and their roles. By shedding light on this issue, the book seeks to offer valuable insights to undergraduate students, graduate students, professionals, practitioners, and researchers involved in the field of tourism management. As work practices and human resource guidelines undergo transformation in response to the pandemic context, the book provides a thoughtful reflection on the new trends and practices emerging in Human Resources and Marketing Management within the tourism industry. Some of the focal points include the exploration of Green Human Resources, The Human Resource Balanced Scorecard (HRBSC), corporate events, team-building trends, employee empowerment, job satisfaction, and best practices in human resource management specific to the tourism sector.

Modern organizations confront an array of existential challenges encompassing environmental volatility, resource scarcity, workforce recruitment woes, employee burnout, and technological disruption. These uncertainties, coupled with the call for sustainability as exemplified by the Sustainable Development Goals (SDGs), necessitate adept management and visionary leadership. Nevertheless, deciphering these intricacies proves formidable, exacerbated by societal shifts and rapid behavioral transformations. The demand for proficient management and comprehensive leadership has never been more pressing as we stand on the cusp of a transformative era. Contemporary Management and Global Leadership for Sustainability , emerges as a remedy for present challenges. This book delves into the core of modern management science and global leadership, offering a roadmap to navigate multifaceted issues across various sectors. Beyond theoretical insights, it bridges the gap between theory and application, equipping a diverse audience with actionable approaches for sustainable triumph. Tailored for academics, professionals in public and private spheres, and students, the book serves as a reservoir of knowledge. Touching industries from hospitality to education and exploring the fusion of religious philosophy with sustainable leadership, provides invaluable guidance. As organizations worldwide seek direction amid contemporary challenges, this book shines as a beacon, guiding the way toward resilience, innovation, and enduring triumph.

In a world driven by technology and data, classical computing faces limitations in tackling complex challenges like climate modeling and financial risk assessment. These barriers impede our aspirations to revolutionize industries and solve intricate real-world problems. To bridge this gap, we must embrace quantum computing. Edited by Alex Khang PH, Principles and Applications of Quantum Computing is a transformative solution to this challenge. It delves into the interdisciplinary realms of computer science, physics, and mathematics, unveiling the incredible potential of quantum computing, which outperforms supercomputers by 158 million times. This technology, rooted in quantum mechanics, offers solutions to global problems and opens new frontiers in AI, cybersecurity, finance, drug development, and more. By engaging with this book, you become a pioneer in the quantum revolution, contributing to reshaping the limits of what's achievable in our digital age.

In the dynamic landscape of bioinformatics and blockchain technology, a profound challenge is evident: ensuring secure exchange and analysis of complex biological data while maintaining data integrity and ownership. Traditional methods fall short in seamlessly transferring genomic data, spurring the fusion of blockchain innovation and optimization algorithms as a groundbreaking solution. Biology-Inspired Optimization Techniques in Blockchain Systems directly addresses the data integrity and ownership dilemma in bioinformatics and blockchain. Despite the intricacies of genomic data, blockchain's potential solution faces obstacles like data volume and slow transactions. These challenges are adeptly overcome through optimization algorithms. The book, authored by experts in bioinformatics, blockchain, and optimization, offers a comprehensive guide, showcasing how blockchain architecture and biological data intricacies can harmonize. It provides a blueprint for using blockchain to store genomic variants and aligned reads. This work empowers developers, data scientists, and researchers to overcome technological barriers, redefining the landscape of bioinformatics and beyond.

"This book will show the current state of the art of business initiatives in the field of digital detox and will throw light on the limitless scope of innovative opportunities in the field of digital detoxification"--

"This book aims to explore the transformative power of emerging technologies and their impact on education in the digital age"--

The burden of global electronic waste, or e-waste, grows heavier by the day, demanding we take a closer look at the obscure hazards lurking within electronic devices. E-Waste takes a calamitous toll on ecosystems and human well-being, necessitating immediate action. Sustainable Solutions for E-Waste and Development is an academic reference source that takes an incisive journey through the nexus of sustainable development and the surging menace of e-waste. In an age where our lives are orchestrated by gadgets, this book uncovers the profound repercussions that these marvels bear upon our environment, societies, and economies. As the dawn of an imperative revolution beckons, this book casts a discerning eye on unconventional strategies, propelling readers into the realm of pioneering e-waste management, recycling ventures, and circular economy paradigms. It offers a panoramic view of policy blueprints and technological frontiers that could herald a future harmonizing technological progress with environmental sustainability. The book's compendium of recent research revelations, exemplars, and best practices foster an ecosystem of collaborative inquiry. Written and edited with the cognizance of the topic's wide audience, the book bridges academic rigor with accessible exposition. From scholars engrossed in environmental science, technology, and sustainable development to policymakers crafting the global legislative tapestry, this publication's relevance transcends boundaries.

Technological Advancements in Data Processing for Next Generation Intelligent Systems presents an in-depth exploration of cutting-edge data processing technologies that drive the development of next-generation intelligent systems in the context of the digital transformation era. This comprehensive book delves into the role data plays as a critical asset for organizations across diverse industries, and how recent technological breakthroughs have unlocked unprecedented potential for handling vast data volumes and real-time analysis. The book begins by providing a thorough overview of novel technologies such as artificial intelligence (AI) or machine learning (ML), edge computing, federated learning, quantum computing, and more. These revolutionary technologies, when integrated with big data frameworks, in-memory computing, and AI/ML algorithms, have transformed data processing capabilities, enabling the creation of intelligent systems that fuel innovation, optimize operations, and deliver personalized experiences. The ultimate aim of this integration is to empower devices with the ability to make autonomous intelligent decisions, maximizing computing power. This book serves as a valuable resource for research scholars, academicians, and industry professionals working towards the future advancement of optimized intelligent systems and intelligent data processing approaches. The chapters encompass a wide range of topics, including architecture and frameworks for intelligent systems, applications in diverse domains, cloud-based solutions, quantum processing, federated learning, in-memory data processing, real-time stream processing, trustworthy AI for Internet of Things (IoT) sensory data, and more.

Early childhood education is the decisive period of a student's life experience where the foundations for lifelong learning are laid. A dynamic interplay of individual and collective experiences unfolds within its organized environment, fostering holistic growth, development, and the safeguarding of young minds. The significance of these formative years cannot be overstated; they are a cornerstone of education, shaping more than half of an individual's future learning trajectory. In a world driven by international imperatives and national priorities, the establishment of robust early education policies has emerged as a pressing need within the broader Early Childhood Development program. Modern Early Childhood Teacher Education: Theories and Practice delves into the multifaceted tapestry of early school education, dissecting its historical underpinnings while navigating the complexities of contemporary educational paradigms. The book unfurls a comprehensive exploration of diverse global early schooling systems, dissecting their historical trajectories and contemporary challenges. It assumes the role of a scholarly guide, not only for practicing early education teachers but also for aspiring educators preparing to embark on their journey into the realm of pre-school and primary education. Additionally, it stands as a forum for the global exchange of pedagogical insights, fostering a community of academics, researchers, and practitioners committed to advancing the field of early education. The pages of this book resonate with the echoes of critical topics such as contemporary challenges in early schooling systems, innovative teaching resources tailored for young learners, the intricate nuances of digital education in the formative years, and the pivotal role of early education as a catalyst for broader educational and cultural policies.

The scientific application of plasma across a variety of fields continues to expand with new research at a remarkable rate. The convergence between plasma science and domains such as energy materials, semiconductor systems, textiles, medicine, agriculture, and space exploration is merely scratching the surface of the known possibilities of this technology. Scientists require a sound understanding of the current state of these possibilities in order to push the technology further into the unknown potential of plasma science. The chapters of the book Emerging Applications of Plasma Science in Allied Technologies coalesce to form a holistic panorama of innovations, encompassing everything from sustainable energy solutions to antimicrobial applications. This book stands as a definitive guide to the forefront of innovation and offers a comprehensive dive into the profound impacts of plasma science across diverse fields, presenting a synthesis of cutting-edge research and development. It opens with a meticulous overview of the foundational principles underpinning plasma science, serving as a springboard for the exploration of its myriad applications. From fundamental physics and mechanisms to innovative designs and allied technologies, the pages illuminate the multifaceted dimensions of plasma-based advancements. Plasma technology catalyzes advancements in modern medicine and healthcare. The intricate interplay between plasma-based treatments and living tissues is dissected, revealing a landscape where innovation bridges the gap between science fiction and reality. This book unpacks the critical role of plasma science in the eco-friendly conversion of carbon dioxide, thereby offering a beacon of hope in the struggle against climate change. This book is a trailblazing resource for academics, researchers, and postgraduate students, offering a comprehensive foundation in this groundbreaking field. Industry professionals, from biomedical engineers to agricultural innovators, will find a treasure trove of insights to fuel their work. This book beckons policymakers and visionaries to comprehend the potential of plasma science in steering humanity toward sustainable, cleaner, and healthier futures.

In an age defined by the transformative ascent of cloud computing and the Internet of Things (IoT), our technological landscape has undergone a revolutionary evolution, enhancing convenience and connectivity in unprecedented ways. This convergence, while redefining how we interact with data and devices, has also brought to the forefront a pressing concern - the susceptibility of these systems to security breaches. As cloud services integrate further into our daily lives and the IoT saturates every aspect of our routines, the looming potential for cyberattacks and data breaches necessitates immediate and robust solutions to fortify the protection of sensitive information, ensuring the privacy and integrity of individuals, organizations, and critical infrastructure. Emerging Technologies for Securing the Cloud and IoT emerges as a comprehensive and timely solution to address the multifaceted security challenges posed by these groundbreaking technologies. Edited by Amina Ahmed Nacer from the University of Lorraine, France, and Mohammed Riyadh Abdmeziem from Ecole Nationale Supérieur d'Informatique, Algeria, this book serves as an invaluable guide for both academic scholars and industry experts. Its content delves deeply into the intricate web of security concerns, elucidating the potential ramifications of unaddressed vulnerabilities within cloud and IoT systems. With a pragmatic focus on real-world applications, the book beckons authors to explore themes like security frameworks, integration of AI and machine learning, data safeguarding, threat modeling, and more. Authored by esteemed researchers, practitioners, and luminaries, each chapter bridges the divide between theory and implementation, aiming to be an authoritative reference empowering readers to adeptly navigate the complexities of securing cloud-based IoT systems. A crucial resource for scholars, students, professionals, and policymakers striving to comprehend, confront, and surmount contemporary and future security challenges, this book stands as the quintessential guide for ushering in an era of secure technological advancement.

In the realm of higher education, the journey to academic success is often accompanied by an array of challenges, particularly in the form of stress and its profound impact on mental health. The multifaceted nature of these challenges, stemming from a variety of factors, has sparked significant interest among scholars and educators alike. Student Stress in Higher Education delves into the intricate interplay between stressors, coping mechanisms, and the psychological well-being of students within higher education institutions. This book addresses a conspicuous gap in existing literature, meticulously examining the dimensions of stress uniquely experienced in higher education settings. The chapters contained within illuminate various facets of this complex issue. From the barriers obstructing effective stress management to the gender disparities in mental health experiences, each chapter dissects a critical aspect of the overarching theme. The insights garnered from these chapters hold potential to reshape institutional approaches to mental health awareness and support. This book serves as a beacon of knowledge for a diverse readership. Scholars seeking to explore the nuanced landscape of student well-being will find this volume to be an indispensable resource. Administrators and counselors entrusted with the welfare of students will discover pragmatic approaches to aid students in acclimating to the challenges of higher education. From gender-specific stress manifestations to the intricacies of institutional mental health provision, this book delivers a holistic perspective.

Those who venture into the realm of ecosystem advantage will discover a complex web of relationships, interfaces, and processes designed to efficiently deliver customer value. One important factor in the process of building an enterprise that is often overlooked is that a business's success is inevitably entwined with the performance of its surrounding ecosystem. Spanning a tapestry of firms, institutions, and individuals, this ecosystem forms the linchpin of success. However, the journey to prosperity demands more than the mere existence of a thriving ecosystem; it necessitates adept management and cultivation of relationships within it. Ecosystem Dynamics and Strategies for Startups Scalability uncovers the nuances of connecting complementary participants, navigating uncertainty among diverse partners, and securing a substantial share of the created value. As a testament to its academic rigor, the book discerns that fostering an ecosystem often hinges upon a "lead firm" orchestrating key value-contributing elements, or that the government enacting conducive policies. The book also extends far into diverse facets of resource management, ecosystem construction, and startup scalability, all rooted in comprehensive theoretical analysis. Bridging theory and practice, it furnishes case studies and best practices to accentuate these concepts. As economies worldwide reset post-pandemic, the book assumes greater relevance, illuminating the path for startups to thrive in emerging markets. Scholars, postgraduates, practitioners, and policymakers alike stand to gain a wealth of knowledge, from the evolution of resource management and ecosystems to their pivotal roles in startup success.

"This book explores the opportunities and challenges of using generative AI for teaching, learning, and research across different educational contexts and disciplines as well as highlights innovative approaches and best practices for integrating generative AI into various aspects of education, including curriculum design, assessment, and professional development"--

"The book aims to provide information on how instructors foster diversity, equity, inclusion, and accessibility principles and practices to improve engagement and success for all student populations learning in online classrooms"--

Teaching and Learning for a Sustainable Future: Innovative Strategies and Best Practices delves into the critical global challenges of sustainability and the indispensable role of education in forging a sustainable future for generations to come. This interdisciplinary and multi-sectoral endeavor embraces themes ranging from climate change and biodiversity loss to social justice, poverty reduction, and sustainable development. By integrating environmental, social, and economic dimensions, the book offers a holistic approach to teaching and learning for sustainability, presenting innovative strategies and best practices that can be adapted across diverse disciplines, levels of education, and contexts. Drawing upon a rich tapestry of pedagogical approaches, the book illuminates experiential learning, inquiry-based learning, problem-based learning, and project-based learning as powerful tools for addressing sustainability challenges and opportunities. Additionally, it showcases cutting-edge teaching tools and technologies, including online platforms, social media, virtual and augmented reality, and gamification, revolutionizing the dissemination of sustainability education. The book serves as a platform for educators, academics, researchers, policy makers, and students to share experiences, insights, and best practices, propelling the evolution of sustainability education.

As the world continues to grapple with issues of diversity, equity, and inclusion (DEI), organizations face numerous challenges in determining the most effective digital marketing strategies to promote DEI and contribute to achieving sustainable development goals (SDGs). These challenges can include determining the main objectives, deciding on the ideal means to communicate with the target market, and measuring the impact of the strategies implemented. Effective Digital Marketing for Improving Society Behavior Toward DEI and SDGs provides a comprehensive solution to these challenges. Edited by Inês Pereira, Paulo Alexandre, and José Duarte Santos, this book offers readers a wide range of knowledge areas, including corporate social responsibility, marginalized communities, and sustainability index, providing the necessary skills to understand and apply different digital marketing and communication strategies. Aimed at a diverse audience, including management and marketing academics, digital marketing managers and consultants, social marketers, NPOs managers, and brand communication managers, this book serves as an essential guide for anyone seeking to develop effective digital marketing and communication strategies that promote DEI and contribute to achieving SDGs. By providing practical guidance on non-profit marketing, storytelling for DEI, and sustainability, the book helps organizations measure their impact, contributing to improved society behavior towards DEI and SDGs.

As the world continues to grapple with issues of diversity, equity, and inclusion (DEI), organizations face numerous challenges in determining the most effective digital marketing strategies to promote DEI and contribute to achieving sustainable development goals (SDGs). These challenges can include determining the main objectives, deciding on the ideal means to communicate with the target market, and measuring the impact of the strategies implemented. Effective Digital Marketing for Improving Society Behavior Toward DEI and SDGs provides a comprehensive solution to these challenges. Edited by Inês Pereira, Paulo Alexandre, and José Duarte Santos, this book offers readers a wide range of knowledge areas, including corporate social responsibility, marginalized communities, and sustainability index, providing the necessary skills to understand and apply different digital marketing and communication strategies. Aimed at a diverse audience, including management and marketing academics, digital marketing managers and consultants, social marketers, NPOs managers, and brand communication managers, this book serves as an essential guide for anyone seeking to develop effective digital marketing and communication strategies that promote DEI and contribute to achieving SDGs. By providing practical guidance on non-profit marketing, storytelling for DEI, and sustainability, the book helps organizations measure their impact, contributing to improved society behavior towards DEI and SDGs.

In recent years, industries have shifted into the digital domain, as businesses and organizations have used various forms of technology to aid information storage and efficient production methods. Because of these advances, the risk of cybercrime and data security breaches has skyrocketed. Fortunately, cyber security and data privacy research are thriving; however, industry experts must keep themselves updated in this field. Exploring Cyber Criminals and Data Privacy Measures collects cutting-edge research on information security, cybercriminals, and data privacy. It proposes unique strategies for safeguarding and preserving digital information using realistic examples and case studies. Covering key topics such as crime detection, surveillance technologies, and organizational privacy, this major reference work is ideal for cybersecurity professionals, researchers, developers, practitioners, programmers, computer scientists, academicians, security analysts, educators, and students.

Convergence of Cloud Computing, AI, and Agricultural Science explores the transformative potential of integrating cutting-edge technologies into the field of agriculture. With the rapid advancements in cloud computing, Artificial Intelligence (AI), and the Internet of Things (IoT), this research presents a comprehensive framework for monitoring agriculture farms remotely using a smart cloud-based system. The book delves into the application of AI-based machine learning models, such as the Support Vector Machine (SVM), to accurately classify and process the collected data. This advanced research reference book also explores how digital information can provide farmers with information about international markets, enabling them to make informed decisions regarding their crops. With its academic tone and in-depth exploration of cloud computing in smart agriculture, this book serves as an essential resource for researchers, academics, and professionals in the fields of agriculture, computer science, and environmental science. By examining the convergence of cloud computing, AI, and agricultural science, it provides a roadmap for harnessing technology to revolutionize farming practices and ensure sustainable agri-food systems in the digital era.