Ai Assisted Special Education For Students With Exceptional Needs
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| Author | : Kumar, Ashish |
| Publisher | : IGI Global |
| Total Pages | : 351 |
| Release | : 2023-10-02 |
| Genre | : Education |
| ISBN | : |
AI-Assisted Special Education for Students With Exceptional Needs is a comprehensive and insightful exploration of the intersection between special education and artificial intelligence (AI). This book delves into the fundamental principles, historical background, and current challenges faced in providing effective education to students with special needs. It compares traditional education methods with special education practices and highlights the limitations of conventional classrooms in addressing the diverse learning difficulties of exceptional students. The book also explores the impact of AI-based special education on both educators and students, providing valuable insights and strategies for stakeholders to adopt and implement these technologies effectively. Legal aspects surrounding the right to education for disabled individuals are discussed, ensuring a comprehensive understanding of the legal framework supporting special education initiatives. Real-world case studies and success stories serve as inspiration, illustrating the transformative potential of AI in special education. Featuring contributions from academicians and professionals from esteemed organizations, this book provides hands-on chapters that cover topics such as research challenges, data analysis, machine learning, intelligent learning environments, IoT wearable devices, comprehensive systems with intelligent teacher assistance, parental and societal roles, and the prospects of AI-assisted special education. Whether educator, mentor, training professional, researcher, or student, AI-Assisted Special Education for Students With Exceptional Needs offers a wealth of knowledge and practical insights.
| Author | : Jones, Sarah |
| Publisher | : IGI Global |
| Total Pages | : 401 |
| Release | : 2023-12-21 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1668487624 |
With cultural and linguistic diversity, migration, and constant change as defining features of contemporary societies, it is increasingly necessary to enhance our capabilities within multilingual environments. Reconceptualizing Language Norms in Multilingual Contexts offers a groundbreaking exploration of language practices and norms in the diverse and dynamic world we inhabit today. It challenges the traditional understanding of language norms as stable and stationary. Instead, it embraces multiculturalism and multilingualism as the norm rather than the exception. Drawing upon a wide range of methodological approaches, this book brings together a collection of position papers, critical reflections, and explorations by emerging and established voices in the field. It delves into how language norms emerge, evolve, and shape communication in both collective and individual contexts of diversity. By reconceptualizing language norms, this book sheds light on real and relevant language practices in multilingual and multicultural spaces, offering insights from the people who inhabit and navigate these contexts. While the content of this book revolves around everyday communication, its academic approaches and comprehensive exploration make it a valuable resource for graduate students, educators, and researchers in the fields of multilingualism and applied linguistics. By bridging the gap between language norms and multilingualism, this book seeks to advance our understanding of language practices in the increasingly interconnected and diverse world.
| Author | : Walters, Annette G. |
| Publisher | : IGI Global |
| Total Pages | : 656 |
| Release | : 2024-10-25 |
| Genre | : Education |
| ISBN | : |
Special education encounters distinct challenges in delivering personalized and practical assistance to students with disabilities. Educators frequently require support to address the varied needs of these students, resulting in learning and development gaps. Moreover, early identification and catering to these needs can take time and effort, affecting students' long-term academic success. There is an urgent need for innovative solutions that can bridge these gaps and improve the educational experiences of students with disabilities. Transforming Special Education Through Artificial Intelligence offers a comprehensive exploration of how Artificial Intelligence (AI) can transform special education by providing personalized and individualized support for students with disabilities. Through case studies and real-life examples, we demonstrate how AI can analyze data to tailor learning experiences, and most importantly, identify learning difficulties early. This crucial aspect of AI can significantly enhance communication among stakeholders and reassure them about the potential of AI in improving educational outcomes for students with disabilities.
| Author | : Sailesh Iyer |
| Publisher | : Elsevier |
| Total Pages | : 702 |
| Release | : 2024-11-01 |
| Genre | : Social Science |
| ISBN | : 0443288852 |
Digital Twins for Smart Cities and Villages provides a holistic view of digital twin technology and how it can be deployed to develop smart cities and smart villages. Smart manufacturing, smart healthcare, smart education, smart agriculture, smart rural solutions, and related methodologies using digital twins are discussed, including challenges in deployment, their solutions and future roadmaps. This knowledge, enriched by a variety of case studies presented in the book, may empower readers with new capabilities for new research as well as new tasks and strategies for practical implementation and real-world problem solving.The book is thoughtfully structured, starting from the background of digital twin concepts and basic know-how to serve the needs of those new to the subject. It continues with implementation to facilitate and improve management in several urban contexts, infrastructures, and more. Global case study assessments further provide a deep characterization of the state-of-the-art in digital twin in urban and rural contexts. - Uniquely focuses on applications for smart cities and villages, including smart services for health, education, mobility, and agriculture - Provides use cases and practical deployment of research involved in the emerging uses of digital twins - Discusses all pertinent issues, challenges, and possible solutions instrumental in implementing digital twins smart solutions in this context - Edited and authored by a global team of experts in their given fields
| Author | : Doshi, Ruchi |
| Publisher | : IGI Global |
| Total Pages | : 563 |
| Release | : 2024-06-03 |
| Genre | : Education |
| ISBN | : |
A new challenge has become present in the field of generative artificial intelligence (AI). The fundamental nature of education, a vital element for advancing the United Nations' Sustainable Development Goals (SDGs), now grapples with the transformative impact of AI technologies. As we stand at this intersection of progress and pedagogy, critical questions surface about the future roles of educators and the integrity of assessment processes. AIs rapid progression prompts an exploration of the competencies our education systems must cultivate in a world where human and machine intelligence are becoming increasingly interconnected. Against this backdrop of transformative uncertainty, Integrating Generative AI in Education to Achieve Sustainable Development Goals addresses profound challenges and offers promising solutions at the crossroads of AI and education. This book assembles distinguished academics, researchers, and practitioners, forming a collective voice on the intersection of Generative AI and education. The three-part structure dissects the technical aspects of AI-powered innovations in educational design, explores multidisciplinary applications enhancing educational content, and highlights AI-driven solutions to address equality and inclusion concerns within educational systems. The book also underscores the importance of ethical considerations of generative AI to ensure a future where technology serves the broader goals of sustainability and equitable education.
| Author | : Prof. (Dr.) Mita Banerjee |
| Publisher | : RED UNICORN PUBLISHING |
| Total Pages | : 337 |
| Release | : 2024-08-25 |
| Genre | : Antiques & Collectibles |
| ISBN | : 9358094575 |
| Author | : Misra, Sanjay |
| Publisher | : IGI Global |
| Total Pages | : 350 |
| Release | : 2024-05-16 |
| Genre | : Computers |
| ISBN | : |
The foundation of any successful enterprise lies in a well-crafted IT strategy. In today's volatile economic climate, it is necessary to harmonize the exigencies of daily operations with the demands of future growth and development. As information technology continues to permeate every facet of our lives and industries, the nexus between entrepreneurship and innovation remains pivotal. Advanced Intelligence Systems and Innovation in Entrepreneurship delves deep into the intricate web that binds information technology (IT) strategy, advanced intelligence systems, and the dynamic landscape of entrepreneurship. Within these pages, experts dissect the anatomy of IT strategies, deciphering their critical role in achieving IT and business objectives. This book discusses intelligence systems, the very embodiment of artificial intelligence's transformative potential. These systems possess the capacity to perform tasks once reserved for human intelligence, making decisions, solving complex problems, and learning from data. Yet, the book does not shy away from addressing the thorny issues of employment, privacy, and security that accompany such profound technological shifts. This book underscores how futuristic technologies empower entrepreneurs to innovate sustainably, fostering business growth while safeguarding our environment. Entrepreneurs, in their quest for new and inventive products and services, wield information technology as a transformative tool. The need for organizational restructuring, aligned with the demands of these technologies, becomes evident, with case studies showcasing the impact of IT on entrepreneurial activities.This book is deal for scholars, researchers, students, industry professionals, entrepreneurs, intrapreneurs, educators, technologists, policymakers, and innovators.
| Author | : Bahaa Awwad |
| Publisher | : Springer Nature |
| Total Pages | : 917 |
| Release | : |
| Genre | : |
| ISBN | : 3031543793 |
| Author | : Abdulhamit Subasi |
| Publisher | : Elsevier |
| Total Pages | : 426 |
| Release | : 2024-09-18 |
| Genre | : Science |
| ISBN | : 0443291519 |
Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction presents an overview of an emerging field that is concerned with exploiting multiple modalities of communication in both Artificial Intelligence and Human-Machine Interaction. The book not only provides cross disciplinary research in the fields of multimodal signal acquisition and sensing, analysis, IoTs (Internet of Things), Artificial Intelligence, and system architectures, it also evaluates the role of Artificial Intelligence I in relation to the realization of contemporary Human Machine Interaction (HMI) systems.Readers are introduced to the multimodal signals and their role in the identification of the intended subjects, mental state and the realization of HMI systems are explored, and the applications of signal processing and machine/ensemble/deep learning for HMIs are assessed. A description of proposed methodologies is provided, and related works are also presented. This is a valuable resource for researchers, health professionals, postgraduate students, post doc researchers and faculty members in the fields of HMIs, Brain-Computer Interface (BCI), Prosthesis, Computer vision, and Mental state estimation, and all those who wish to broaden their knowledge in the allied field. - Covers advances in the multimodal signal processing and artificial intelligence assistive HMIs - Presents theories, algorithms, realizations, applications, approaches, and challenges that will have their impact and contribution in the design and development of modern and effective HMI (Human Machine Interaction) system - Presents different aspects of the multimodal signals, from the sensing to analysis using hardware/software, and making use of machine/ensemble/deep learning in the intended problem-solving
| Author | : Jeremy Knox |
| Publisher | : Springer |
| Total Pages | : 209 |
| Release | : 2019-06-13 |
| Genre | : Education |
| ISBN | : 9811381615 |
This book brings together the fields of artificial intelligence (often known as A.I.) and inclusive education in order to speculate on the future of teaching and learning in increasingly diverse social, cultural, emotional, and linguistic educational contexts. This book addresses a pressing need to understand how future educational practices can promote equity and equality, while at the same time adopting A.I. systems that are oriented towards automation, standardisation and efficiency. The contributions in this edited volume appeal to scholars and students with an interest in forming a critical understanding of the development of A.I. for education, as well as an interest in how the processes of inclusive education might be shaped by future technologies. Grounded in theoretical engagement, establishing key challenges for future practice, and outlining the latest research, this book offers a comprehensive overview of the complex issues arising from the convergence of A.I. technologies and the necessity of developing inclusive teaching and learning. To date, there has been little in the way of direct association between research and practice in these domains: A.I. has been a predominantly technical field of research and development, and while intelligent computer systems and ‘smart’ software are being increasingly applied in many areas of industry, economics, social life, and education itself, a specific engagement with the agenda of inclusion appears lacking. Although such technology offers exciting possibilities for education, including software that is designed to ‘personalise’ learning or adapt to learner behaviours, these developments are accompanied by growing concerns about the in-built biases involved in machine learning techniques driven by ‘big data’.
