Böcker utgivna av IGI Global

In the vast expanse of education, a pervasive issue remains in the marginalization and lack of visibility of individuals with disabilities. Despite a strong desire for inclusivity, recent research suggests that fewer than 5% of children with disabilities in 51 countries across sub-Saharan Africa and South Asia are enrolled in primary school. This exclusion is not solely in enrollment numbers; even those who manage to attend face learning environments ill-equipped to adapt to their needs, leading to further isolation. Girls with disabilities, in particular, endure heightened vulnerability to abuse, reflecting a systemic failure to provide an environment that fosters equality, dignity, and respect for all. The Handbook of Research on Inclusive and Accessible Education emerges as an inspiration for change, providing a profound solution to the persistent issue of exclusion. The book encapsulates a collective effort to reimagine education. It advocates for a paradigm shift-moving away from the confinement of special schools and towards inclusive, mainstream settings. By addressing controversies, sharing successes, and outlining prospects, the book serves as a comprehensive guide for special school governing bodies, curriculum advisors, university lecturers, and all stakeholders committed to reshaping education.

In the complex field of academic scholarship, educators and scholars often encounter the challenge of designing effective learning scenarios that align with various educational objectives. The process involves meticulous planning, consideration of diverse pedagogical approaches, and adapting strategies to different circumstances and situations. The need for innovative solutions in pedagogy has never been more pressing, with topics ranging from instructional design to emerging techno pedagogical practices demanding attention. Academic scholars are yearning for a comprehensive guide that not only dissects the intricacies of these challenges but also offers transformative solutions to navigate the evolving landscape of education. Innovative Instructional Design Methods and Tools for Improved Teaching is a groundbreaking book meticulously crafted to address the pressing issues faced by academic scholars today. This book transcends the conventional boundaries of educational discourse, offering a roadmap for designing learning activities beyond routine exercises. It unveils a comprehensive approach, integrating pedagogical strategies and innovative teaching practices, providing educators with the tools they need to revolutionize their approach to instruction. This book is a solution to the challenges educators face in the contemporary academic landscape, providing a transformative guide for those seeking to excel in the dynamic field of pedagogy.

In the evolving environment of education, academic scholars face the daunting challenge of navigating a multitude of pedagogical approaches and technologies. The design of effective learning activities demands a nuanced understanding of didactic innovation, instructional design, and the integration of technology. As educators strive to meet the diverse needs of learners, the demand for innovative solutions to enhance teaching methodologies becomes more pressing than ever. Technological Tools for Innovative Teaching emerges as a comprehensive solution to the challenges educators encounter in the modern academic arena. The book unravels the intricacies of pedagogical scenarios, providing a step-by-step guide to designing learning activities that align with educational objectives. By addressing topics such as the pedagogy of error, flipped classroom strategies, and tech pedagogy, the book equips scholars with a diverse toolkit to revolutionize their teaching methods.

In the ever-evolving landscape of information technology within library and information science, scholars often find themselves navigating a complex web of diverse research areas. The broad spectrum of topics, ranging from digital libraries to artificial intelligence, poses a significant challenge for academic scholars seeking a comprehensive understanding of the field's intricacies. The absence of a consolidated resource tailored to the specific needs of graduate students, professors, and practitioners further exacerbates this issue. Multidisciplinary Approach to Information Technology in Library and Information Science addresses the pressing challenges faced by scholars in the realm of library and information science. This reference handbook serves as a beacon, illuminating the multifaceted interactions and impacts of technologies on information resources. This book delves into the ethical, legal, and social implications of information technology across diverse contexts - libraries, information centers, archives, museums, education, business, government, and healthcare.

Within the context of global health challenges posed by intractable neurodegenerative diseases like Alzheimer's and Parkinson's, the significance of early diagnosis is critical for effective intervention, and scientists continue to discover new methods of detection. However, actual diagnosis goes beyond detection to include a significant analysis of combined data for many cases, which presents a challenge of several complicated calculations. Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases stands as a groundbreaking work at the intersection of artificial intelligence and neuroscience. The book orchestrates a symphony of cutting-edge techniques and progressions in early detection by assembling eminent experts from the domains of deep learning and neurology. Through a harmonious blend of research areas and pragmatic applications, this monumental work charts the transformative course to revolutionize the landscape of early diagnosis and management of neurodegenerative disorders. Within the pages, readers will embark through the intricate landscape of neurodegenerative diseases, the fundamental underpinnings of deep learning, the nuances of neuroimaging data acquisition and preprocessing, the alchemy of feature extraction and representation learning, and the symphony of deep learning models tailored for neurodegenerative disease diagnosis. The book also delves into integrating multimodal data to augment diagnosis, the imperative of rigorously evaluating and validating deep learning models, and the ethical considerations and challenges entwined with deep learning for neurodegenerative diseases.

The need for comprehensive insights into mindfulness and well-being within the context of Indian psychology is a pressing issue. The immense stressors of modern life and the ever-expanding demands on academic scholars underscore the urgency of addressing mental and holistic health. Despite the ancient roots of mindfulness practices in Indian psychology, there remains a gap in understanding their contemporary applications and integration into diverse academic disciplines. Promoting Mindfulness and Well-Being with Indian Psychology is a groundbreaking book that offers a timely and much-needed solution to the challenges faced by academic scholars. Edited by leading experts in the field, each chapter serves as a beacon, illuminating the path to mindfulness and well-being within a scholarly context. From theoretical foundations to practical applications, the book provides a roadmap for scholars to enhance their academic pursuits but prioritize their mental, emotional, and physical health. This book is not just a resource; it is a transformative tool that empowers scholars to navigate the complexities of academia with mindfulness, fostering a culture of well-being that extends beyond research papers and lecture halls. For those seeking a holistic approach to academic success and personal fulfillment, this book is the compass that points the way.

Cognitive disorders are a growing concern, affecting individuals across the age spectrum and society. These disorders can profoundly disrupt daily life, and their timely diagnosis is crucial for effective intervention and care. As the prevalence of cognitive disorders continues to rise, the need for precise and early diagnosis has never been more pressing. Intelligent Solutions for Cognitive Disorders is a research-based book which delves into the intersection of medical science and technology, exploring the latest advancements in cognitive disorder diagnosis and treatment. This book assembles a multidisciplinary team of experts, including researchers, clinicians, and technologists, to address this challenge head-on. This book commences with an in-depth introduction to cognitive disorders, providing a solid foundation for readers of all backgrounds. It then navigates the role of intelligent systems in cognitive healthcare, unveiling the potential of artificial intelligence, machine learning, and deep learning techniques. The book highlights how these intelligent systems can enable the early and accurate detection of cognitive disorders, a pivotal factor in improving patients' quality of life. This book is an invaluable resource for technologists, researchers, linguists, data scientists, healthcare practitioners, medical professionals, and students seeking a comprehensive understanding of cognitive disorders and the role of intelligent technologies in their diagnosis and care.

The Healthcare sector is experiencing a mindset change with the advent of Healthcare 5.0, bringing forth improved patient care and system efficiency. However, this transformation poses significant challenges. The growing digitization of healthcare systems raises concerns about the security and privacy of patient data, making seamless data sharing and collaboration increasingly complex tasks. Additionally, as the volume of healthcare data expands exponentially, efficient handling and analysis become vital for optimizing healthcare delivery and patient outcomes. Addressing these multifaceted issues is crucial for healthcare professionals, IT experts, data scientists, and researchers seeking to fully harness the potential of Healthcare 5.0. Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security presents a comprehensive solution to the pressing challenges in the digitalized healthcare industry. This research book dives into the principles of Healthcare 5.0 and explores practical implementation through cloud computing, data analytics, and federated learning. Readers will gain profound insights into the role of cloud computing in managing vast amounts of healthcare data, such as electronic health records and real-time analytics. Cloud-based frameworks, architectures, and relevant use cases are explored to optimize healthcare delivery and improve patient outcomes.

Powerful generative Artificial Intelligence (AI) has defined and transformed our modern era, and the fundamental conceptualization of academia stands at a crossroads. Academic Integrity in the Age of Artificial Intelligence delves deep into the seismic shifts and intricate challenges brought forth by the proliferation of AI technologies, exploring the intricacies between innovation and integrity. The rise of generative AI, exemplified by ChatGPT, has set a cascade of change across diverse sectors, including higher education, medicine, and the arts. This book dissects the multifaceted impact of AI on the academic landscape. With AI's ability to craft text and imagery mirroring human creativity, the lines between authentic scholarship and synthetic deception blur. The book examines the delicate balance between productivity and ethics while weaving a comprehensive tapestry of insights from various stakeholders. From academics grappling with the definition of AI-assisted breaches of academic integrity to policymakers reshaping the future of higher education, this book engages a myriad of voices. It scrutinizes the nascent challenges in assessment design, the urgent need to update antiquated integrity policies, and the importance of research ethics in an AI-driven world. This book is ideal for educators, policymakers, students, and technologists through the complicated terrain of AI ethics.

The marketing world is transforming in this era of unprecedented technological advancement, changing consumer tastes, and evolving social norms. As information flows freely and brand loyalty becomes a coveted prize, understanding what motivates consumers to choose one brand over another is paramount. Navigating the Shifting Landscape of Consumer Behavior is an authoritative exploration of the dynamic interplay between consumers, brands, and the evolving digital environment. This book dives into the contemporary consumer behavior. The narrative reveals the phenomenon of brand activism as a significant force reshaping the marketing battlefield. No longer content to remain apolitical, brands are increasingly taking stances on pressing social and environmental issues. The book critically examines the dynamics of successful brand activism and explores customer reactions to companies championing social causes. The book incorporates real-world examples and practical tactics, making it an invaluable resource for marketing scholars, researchers, professionals, educators, and graduate students.

The rapid advancements in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and Generative AI, pose a challenge for academic scholars. Staying current with the latest techniques and applications in these fields is difficult due to their dynamic nature, while the lack of comprehensive resources hinders scholars' ability to effectively utilize these technologies. Advanced Applications of Generative AI and Natural Language Processing Models offers an effective solution to address these challenges. This comprehensive book delves into cutting-edge developments in NLP and Generative AI. It provides insights into the functioning of these technologies, their benefits, and associated challenges. Targeting students, researchers, and professionals in AI, NLP, and computer science, this book serves as a vital reference for deepening knowledge of advanced NLP techniques and staying updated on the latest advancements in generative AI. By providing real-world examples and practical applications, scholars can apply their learnings to solve complex problems across various domains. Embracing Advanced Applications of Generative AI and Natural Language Processing Models equips academic scholars with the necessary knowledge and insights to explore innovative applications and unleash the full potential of generative AI and NLP models for effective problem-solving.

Chatbots powered by artificial intelligence (AI) have captivated the academic world as tools for human-like interaction across various settings. Within the realm of education, AI-powered chatbots, such as ChatGPT, hold the potential to revolutionize teaching, learning, and research processes. By simulating human conversation through vast data and machine learning algorithms, generative AI has unveiled new opportunities for personalized and adaptive learning experiences. Facilitating Global Collaboration and Knowledge Sharing in Higher Education With Generative AI delves into the promising prospects and challenges of applying generative AI in education while employing a critical interdisciplinary perspective. The book offers comprehensive insights into the transformative effects of generative AI on teaching, learning, and research. However, the application of generative AI in education also brings ethical, pedagogical, and technical challenges to the forefront. Concerns over privacy, data protection, and the impact of automation on human interaction and creativity demand thorough examination and practical solutions. Intended for educators, researchers, and administrators in higher education institutions, as well as policymakers and industry professionals at the intersection of AI and higher education. The book encompasses a wide range of themes, including the impact of AI-generated content on student engagement and performance in online learning environments, ethical implications of automating education through AI-powered chatbots, personalization of learning experiences for diverse student populations, and the challenges of integrating generative AI into traditional classroom settings.

New technology, globalized markets, and changing employment needs contribute to the fast transformation of the educational landscape, which presents new opportunities and challenges for students. How can educators strategically adapt and enhance learning ecosystems to effectively prepare students for the challenges and opportunities of the rapidly evolving educational landscape and the future workforce? Preparing Students for the Future Educational Paradigm delves into the intricate web of learning ecosystems, exploring their pivotal role in shaping the education of tomorrow. The contemporary educational landscape demands a paradigm shift, and this book addresses the key challenges and opportunities inherent in learning ecosystems. It dissects these interconnected networks of individuals, groups, and resources designed to foster learning, laying bare the essential elements defining efficiency, equity, and inclusivity. This book identifies the pressing issues facing learning ecosystems and provides innovative ideas and practical strategies for rejuvenating these ecosystems. Educators will find in-depth insights into the application of learning ecosystems to enhance student learning, coupled with tangible suggestions for improvement. Policymakers will discover how to champion learning ecosystems through practical political actions and legislation. Beyond these professionals, the book captures the attention of parents, community members, businesses, and scholars, making it an indispensable read for anyone invested in the future of education.

The global skills gap and labor market disruptions pose a significant challenge for organizations worldwide. Higher education struggles to bridge the mismatch between skills taught in academia and those demanded by employers, hindering organizations in an era of heightened competition. Advancing Student Employability Through Higher Education offers a comprehensive solution to address this issue. Edited by Bryan Christiansen and Angela Even, this publication brings together innovative research and insights from employers and employees, serving as a valuable resource for academic scholars seeking the latest research on employer requirements in an era of increasing global hyper-competition. Covering topics like industry-academia collaboration, educational innovation, learning analytics, and educational artificial intelligence (AI), the book provides practical strategies and innovative approaches to bridge the gap between academic instruction and real-world organizational needs. It equips students with the skills and qualifications necessary to thrive in today's global economy through case studies, online learning effectiveness, and training evaluation. By leveraging the expertise of renowned scholars and industry practitioners, the book enhances understanding of the intricate dynamics of the workforce. It empowers scholars, graduate students, and higher education professionals to navigate the evolving needs of organizations, fostering success for individuals and organizational growth in an increasingly competitive landscape.

In today's highly competitive and rapidly evolving global landscape, the quest for efficiency has become a crucial factor in determining the success of organizations across various industries. Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency is a comprehensive guide that delves into the powerful mathematical tool of DEA, is designed to assess the relative efficiency of decision-making units (DMUs), and provides valuable insights for performance improvement. This book presents a systematic overview of DEA models and techniques, from fundamental concepts to advanced methods, showcasing their practical applications through real-world examples and case studies. Catering to a broad audience, this book is designed for students, researchers, consultants, decision-makers, and enthusiasts in the field of efficiency analysis and performance measurement. Consultants and practitioners will gain practical insights for applying DEA in various contexts, and decision-makers will be equipped to make informed decisions for maximizing efficiency. Additionally, individuals with a general interest in data analysis and performance measurement will find this book accessible and informative. This book covers a wide range of topics, including mathematical foundations of DEA, DEA models and variations, DEA efficiency and productivity measures, DEA applications in various industries such as healthcare, finance, supply chain management, environmental management, education management, and public sector management.

In the rapidly evolving digital era, businesses undergo profound transformations requiring strategic adaptation and optimization. Digital Business and Optimizing Operating Strategies delves into the intricate interplay between digital technology and business strategies, exploring various facets such as management, marketing, finance, human resources, and more within the digital market structure. This comprehensive book critically examines enterprises' skills, productivity, and adaptability in response to technological advancements and customer expectations. Covering a wide range of sub-topics, this book addresses the management of social media applications, the technological capabilities of human resources, digital sustainability, and the integration of artificial intelligence technology. By highlighting opportunities and challenges, the book serves as a valuable resource for researchers and practitioners across diverse disciplines, offering novel perspectives and cutting-edge practices in the digital business landscape. This book is designed to resonate with a diverse audience, and will appeal to researchers, marketing managers, metaverse enthusiasts, website designers and developers, e-commerce practitioners, social media users, consumer behavior and marketing researchers, and brand experts. It is an essential resource for both undergraduate and graduate students while also serving as a valuable reference for professionals in the field.

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.

The convergence of corporate social responsibility (CSR), corporate strategy, and public policy has emerged as a critical domain in contemporary business. The fundamental premise of corporate social responsibility is the obligation a company bears to simultaneously address and tend to the multifaceted needs of its clients, workforce, shareholders, communities, and the environment. The key to unlocking the dual potential of generating both positive social impact and corporate value is found in this delicate balance. Examining a wide array of empirical evidence, Strategies and Approaches of Corporate Social Responsibility Toward Multinational Enterprises establishes the tangible linkages between social responsibility initiatives and competitive advantages, offering invaluable insights for organizations aspiring to attract top-tier talent and bolster brand reputation. Delving into the nuances of corporate strategy, it elucidates the distinction between business strategy and corporate strategy, underscoring the significant influence of CEO decisions on stakeholders directly or indirectly associated with the organization. Designed to resonate with diverse audiences, including corporate sectors, private organizations, banks, universities' faculty and students, industrialists, and researchers, this book offers a roadmap for embracing and implementing novel approaches to CSR for multinational enterprises. Employing strategic business models that prioritize sustainability and responsive strategies, it heralds a new era of corporate excellence and organizational growth.

Academic scholars and professionals in engineering strive to enhance the performance, efficiency, and security of complex systems, but accessing comprehensive resources for these challenges can be daunting. Enhancing Performance, Efficiency, and Security Through Complex Systems Control offers an ideal solution. Edited by esteemed academics Idriss Chana, Aziz Bouazi, and Hussain Ben-Azza, this book presents a curated collection of scientific articles encompassing multidisciplinary themes like computer science, artificial intelligence, electrical engineering, and control systems. By consolidating cutting-edge research and methodologies, this book empowers scholars and professionals to improve the design, modeling, and control of complex systems. It provides practical solutions, showcases new ideas, and explores innovative technologies to enhance performance, efficiency, and safety. With a meticulous selection process involving internationally recognized scientific committees, this book ensures the highest quality standards, making it a reliable reference for researchers, PhD students, and academics. Delve into the wide range of topics covered, from artificial intelligence to smart systems, and unlock the potential of complex systems control to advance your research endeavors.

The persistent presence of cognitive biases has influenced rational decisions and strategic management since the 1970s. These prejudiced errors in judgment, often systematic and predictable, breach the foundational assumptions of economic theory, leading to dire consequences such as social inequality, financial collapse, and governmental inefficiency. Even the brightest minds are not immune, making it crucial to address these biases head-on. Overcoming Cognitive Biases in Strategic Management and Decision Making unravels the complex tapestry of biases that infiltrate decision-making processes at all levels. From social injustice biases and reasoning errors to action-inaction and social biases, the book confronts the myriad of ways that biases manifest in critical moments. These pose a significant threat to sound decision-making in various fields, impacting professionals ranging from judges and doctors to public officials. The repercussions of unchecked biases are far-reaching, leading to flawed outcomes that echo through society. The urgent need for a strategic response to mitigate these biases and enhance decision-making processes forms the crux of the problem this book seeks to address.

Cutting-Edge Applications of Nanomaterials in Biomedical Sciences is a comprehensive exploration of the revolutionary impact of nanotechnology on the field of medicine. This book delves into the remarkable potential of nanomaterials in advancing medical diagnostics and therapeutics, particularly in drug delivery. It serves as an indispensable guide, presenting the latest developments in nanomedicine, precision medicine, and nanoengineering while addressing the challenges and opportunities that arise. The book covers a wide range of topics, from nanomaterials for cancer therapy to their applications in imaging and diagnostics. It discusses the transformative role of nanomaterials in targeted delivery and controlled release, as well as their potential in regenerative medicine and infectious disease diagnosis and treatment. By presenting cutting-edge research and developments in the field, this book aims to bridge the gap between bench and bedside, providing a vital resource for researchers, clinicians, and students in the biomedical sciences. Moreover, it highlights the commercialization potential of nanomedicine, fostering collaboration between academia and industry. Policymakers and regulators will also find this book invaluable for understanding the ethical and safety implications of incorporating nanomaterials into medical practices.

Research that is based on appropriate theoretical or conceptual frameworks ensures valid and credible research objectives and the production of relevant results that complement existing literature on a research problem. Innovative and relevant knowledge is produced using appropriate theories and concepts. Despite the importance of theoretical and conceptual frameworks to research, many researchers have difficulties applying them appropriately in their research. Researchers in information systems have limited exposure to theories of societal and human development that should guide them in applying their knowledge of information systems to address real-world problems. Theoretical and Conceptual Frameworks in ICT Research presents a collection of practical case applications of theoretical and conceptual frameworks in information systems research. It guides researchers of information systems to explore and use appropriate theoretical frameworks. This book further tests different theories and frameworks and recommends their effectiveness and improvement and identifies context-specific theoretical and conceptual frameworks. Covering topics such as decision electronic health record implementation, institution management, and technology adoption, this premier reference source is an essential resource for policymakers, educators and advanced-level students of higher education, information systems professionals, librarians, researchers, and academicians.