Ai Assisted Special Education For Students With Exceptional Needs

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.

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.

Maximizing student outcomes in education presents a significant challenge, as traditional assessment methods often fall short in providing actionable insights for improvement. Perspectives on Learning Analytics for Maximizing Student Outcomes addresses this challenge by offering a comprehensive solution. Edited by esteemed scholars Gürhan Durak and Serkan Çankaya, this book provides innovative knowledge and practical experiences on emerging technologies and processes in learning analytics. It covers topics such as data collection, visualization, predictive analytics, and ethical considerations, serving as a guide for academic scholars, technology enthusiasts, and educational institutions. This book empowers professionals and researchers to leverage learning analytics effectively, enabling data-informed decision-making, improved teaching practices, and tailored educational programs. By presenting best practices and future directions, it equips readers with the necessary tools to optimize learning environments and drive student success. With a focus on the transformative potential of learning analytics, this book propels education toward a more efficient and effective system that prioritizes student outcomes.

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.

In the world of assessment, traditional methods often fall short, providing limited insight into individuals' skills and abilities while being susceptible to response biases. Recognizing these shortcomings, researchers have delved into the realm of stealth assessments, a novel approach that embeds traditional measurement techniques within a game-based environment. By seamlessly integrating assessment into gameplay, stealth assessments offer a contextually rich and unobtrusive method of data collection, allowing for a comprehensive understanding of the constructs being assessed. Games as Stealth Assessments unveils the promising field of stealth assessment, exploring its design considerations, research methods, and practical applications. Drawing upon a foundation of psychometrically-sound assessment practices, this book delves into the intersection of thoughtful game design and empirical support for the use of stealth assessments. It justifies the adoption of stealth assessments in academic disciplines such as mathematics, science, and literacy, as well as in the assessment of psychological constructs like aggression, social skills, and self-regulation.

Writing is a critical skill for academic and professional success, yet it is often neglected in schools. According to achievement data, only a quarter of students in the United States are proficient writers, indicating a significant need for improvement in writing instruction. One contributing factor to this problem is the lack of school and district leadership in writing instruction. School improvement efforts are often concentrated on reading and math, leaving writing instruction overlooked. Additionally, issues related to writer identities, self-efficacy in writing, and educator training can also impact the effectiveness of instructional leadership in this critical subject. Instructional Leadership Efforts and Evidence-Based Practices to Improve Writing Instruction, edited by Jennifer VanSlander of Columbus State University, provides within this peer-reviewed book an exploration of evidence-based practices aimed at developing instructional leaders and enhancing student achievement in writing. It covers a broad range of topics related to writing instruction, including learning theories, conceptual models, and the latest empirical research associated with the supervision, organization, implementation, and monitoring of writing programs and instructional approaches. With its emphasis on writer identities, self-efficacy, equitable and inclusive practices, curriculum planning and implementation, assessment, instructional frameworks, and managing instructional change, this book provides educators with a comprehensive guide to improving writing instruction. It is an essential resource for educators who seek to increase the effectiveness of instructional leadership and writing instruction at the classroom, school, or district level.