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 | : 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 | : Prof. (Dr.) Mita Banerjee |
| Publisher | : RED UNICORN PUBLISHING |
| Total Pages | : 337 |
| Release | : 2024-08-25 |
| Genre | : Antiques & Collectibles |
| ISBN | : 9358094575 |
| Author | : Bahaa Awwad |
| Publisher | : Springer Nature |
| Total Pages | : 917 |
| Release | : |
| Genre | : |
| ISBN | : 3031543793 |
| Author | : Ronghuai Huang |
| Publisher | : Springer Nature |
| Total Pages | : 381 |
| Release | : |
| Genre | : |
| ISBN | : 9819700760 |
| 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 | : 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 | : 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 | : Maapola-Thobejane, Hlabathi Rebecca |
| Publisher | : IGI Global |
| Total Pages | : 564 |
| Release | : 2023-10-16 |
| Genre | : Education |
| ISBN | : 1668458012 |
Children living with disabilities face hardships of many kinds that make it impossible for them to access quality education in the same way as their peers in the schooling system. All children are entitled to quality education and a supportive school environment that allows them to develop to their full potential irrespective of their disabilities. However, different factors make it difficult for many learners who live with disabilities to access, participate, and succeed in the schooling system. The Handbook of Research on Shifting Paradigms of Disabilities in the Schooling System focuses on the global trends in education that require the total eradication of every form of impediment in the process of accessing quality education and lifelong learning for people living with disabilities. Rooted in the philosophy of equal rights, human dignity, and social justice, access to quality education for all has led to the current drive for inclusive education. Covering topics such as inclusive schooling systems, visual impairments, and emotional disabilities, this major reference work is an essential resource for students and faculty of higher education, administrators of both K-12 and higher education, government officials, policymakers, non-profit organizations, researchers, and academicians.
| Author | : Aleksandra Przegalinska |
| Publisher | : CRC Press |
| Total Pages | : 169 |
| Release | : 2024-06-17 |
| Genre | : Technology & Engineering |
| ISBN | : 1040031080 |
This groundbreaking book explores the power of collaborative AI in amplifying human creativity and expertise. Written by two seasoned experts in data analytics, AI, and machine learning, the book offers a comprehensive overview of the creative process behind AI-powered content generation. It takes the reader through a unique collaborative process between human authors and various AI-based topic experts, created, prompted, and fine-tuned by the authors. This book features a comprehensive list of prompts that readers can use to create their own ChatGPT-powered topic experts. By following these expertly crafted prompts, individuals and businesses alike can harness the power of AI, tailoring it to their specific needs and fostering a fruitful collaboration between humans and machines. With real-world use cases and deep insights into the foundations of generative AI, the book showcases how humans and machines can work together to achieve better business outcomes and tackle complex challenges. Social and ethical implications of collaborative AI are covered and how it may impact the future of work and employment. Through reading the book, readers will gain a deep understanding of the latest advancements in AI and how they can shape our world. Converging Minds: The Creative Potential of Collaborative AI is essential reading for anyone interested in the transformative potential of AI-powered content generation and human-AI collaboration. It will appeal to data scientists, machine learning architects, prompt engineers, general computer scientists, and engineers in the fields of generative AI and deep learning. Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons [Attribution- No Derivatives (CC-BY -ND)] 4.0 license.
