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AI for Special Education: Revolutionizing Personalized Learning
Author: Dr. Evelyn Reed, PhD in Educational Psychology with a specialization in Assistive Technology and AI in Education. Dr. Reed has over 15 years of experience working with students with diverse learning needs and has published extensively on the applications of AI in special education.
Publisher: Future of Learning Press, a leading publisher specializing in educational technology and innovative teaching methodologies.
Editor: Mr. David Chen, M.Ed., experienced educational technology editor with a focus on accessibility and inclusive learning environments.
Keywords: AI for special education, artificial intelligence in special education, personalized learning, assistive technology, inclusive education, adaptive learning, AI-powered educational tools, special needs education, AI and autism, AI and dyslexia.
Abstract: This article explores the transformative potential of AI for special education, detailing various methodologies and approaches that leverage artificial intelligence to personalize learning, improve assessment, and enhance the overall educational experience for students with diverse learning needs. We will examine the ethical considerations and challenges associated with this rapidly evolving field while highlighting successful applications and future directions.
1. Introduction: The Promise of AI in Special Education
The field of special education faces ongoing challenges in providing personalized and effective instruction to students with diverse learning needs. Traditional "one-size-fits-all" approaches often fall short, leaving many students underserved. AI for special education offers a powerful solution by enabling the creation of adaptive and personalized learning experiences tailored to individual student strengths and weaknesses. Through sophisticated algorithms and machine learning, AI can analyze student data, identify learning gaps, and recommend appropriate interventions, ultimately leading to improved academic outcomes and increased student engagement.
2. Methodologies and Approaches in AI for Special Education
Several key methodologies underpin the application of AI for special education. These include:
Adaptive Learning Platforms: These platforms use AI to adjust the difficulty and content of lessons based on a student's performance in real-time. They can identify areas where a student struggles and provide targeted support, while challenging them in areas where they excel. Examples include platforms that dynamically adjust the complexity of reading passages or math problems.
Intelligent Tutoring Systems: These systems provide personalized feedback and guidance to students, acting as virtual tutors. They can adapt their teaching strategies based on a student's responses, providing hints, explanations, or additional practice as needed. These systems are particularly effective for students who require individualized attention and support.
Predictive Analytics for Early Intervention: AI algorithms can analyze student data – including academic performance, behavioral patterns, and demographic information – to predict students at risk of falling behind. This allows for early intervention strategies to be implemented, preventing learning difficulties from escalating.
Assistive Technology powered by AI: AI is enhancing assistive technologies, creating tools that are more intuitive, adaptable, and effective. Examples include AI-powered speech-to-text software, text-to-speech software with natural language processing, and image recognition tools for students with visual impairments. This is a crucial area of AI for special education, significantly improving accessibility.
Personalized Assessment Tools: AI can automate the process of assessment, providing teachers with more accurate and timely feedback on student progress. AI-powered tools can analyze student work, identify areas for improvement, and suggest personalized interventions. This frees up teachers' time to focus on direct instruction and individual student support.
Natural Language Processing (NLP) for Communication Support: NLP enables AI systems to understand and respond to human language, creating opportunities for communication support for students with autism spectrum disorder or other communication challenges. AI-powered chatbots can assist with social skills training, providing immediate feedback and guidance.
3. Specific Applications of AI in Special Education
AI for special education is finding practical applications in diverse areas:
Supporting Students with Autism Spectrum Disorder (ASD): AI-powered tools can assist with social skills training, communication, and emotional regulation. They can also provide personalized learning experiences tailored to the specific needs of each student.
Helping Students with Dyslexia: AI-powered reading tools can analyze a student's reading patterns and provide tailored support, including targeted phonics instruction and vocabulary building activities.
Assisting Students with ADHD: AI can help students with ADHD stay organized and focused through personalized reminders, task management tools, and adaptive learning experiences.
Supporting Students with Intellectual Disabilities: AI can provide simplified learning materials and adaptive assessments, ensuring that students are challenged at an appropriate level.
Facilitating Inclusive Classrooms: AI can help teachers differentiate instruction and provide personalized support to all students, regardless of their learning needs.
4. Ethical Considerations and Challenges
While the potential benefits of AI for special education are significant, it's crucial to address ethical considerations and challenges:
Data Privacy and Security: Protecting student data is paramount. AI systems must be designed with robust security measures to prevent unauthorized access and misuse of sensitive information.
Bias and Fairness: AI algorithms can inherit biases present in the data they are trained on. This can lead to unfair or discriminatory outcomes for certain groups of students. Careful attention must be paid to ensuring fairness and equity in the design and implementation of AI systems.
Teacher Training and Support: Teachers need adequate training and support to effectively use AI tools in their classrooms. This includes professional development opportunities and ongoing technical assistance.
Accessibility and Inclusivity: AI systems must be accessible to all students, regardless of their disabilities. This requires careful consideration of design principles and the use of assistive technologies.
Over-reliance on Technology: It's important to avoid over-reliance on AI systems. Human interaction and teacher judgment remain crucial for effective teaching and learning.
5. Future Directions in AI for Special Education
The future of AI for special education holds immense potential. Research and development are focused on:
More sophisticated AI algorithms: Advances in machine learning will lead to more personalized and effective learning experiences.
Integration with other educational technologies: AI will be increasingly integrated with other educational technologies, such as virtual reality and augmented reality, to create immersive and engaging learning environments.
Greater accessibility and affordability: AI-powered educational tools will become more accessible and affordable, making them available to a wider range of students and schools.
Improved data visualization and reporting: AI will provide teachers with more meaningful insights into student learning, enabling them to make data-driven decisions.
6. Conclusion
AI for special education is rapidly transforming the landscape of inclusive education. By leveraging the power of artificial intelligence, educators can create personalized learning experiences, enhance assessment, and improve the overall educational outcomes for students with diverse learning needs. However, it's critical to address ethical considerations and challenges, ensuring that AI is used responsibly and equitably to benefit all students. The future of AI for special education is bright, promising a more inclusive and effective educational system for all learners.
FAQs
1. What are the main benefits of using AI in special education? AI offers personalized learning, improved assessment, early intervention capabilities, enhanced assistive technologies, and increased teacher efficiency.
2. Is AI replacing teachers in special education? No, AI acts as a tool to assist teachers, augmenting their capabilities, not replacing them. Human interaction remains crucial.
3. What are the ethical concerns surrounding AI in special education? Data privacy, algorithmic bias, and equitable access are key ethical considerations.
4. How can schools implement AI effectively in special education? Schools need to invest in professional development, select appropriate tools, and prioritize data security and ethical considerations.
5. What are some examples of AI-powered assistive technologies for special education? Speech-to-text, text-to-speech, image recognition software, and personalized learning platforms are examples.
6. How can AI help identify students at risk of falling behind? Predictive analytics using AI can analyze student data to flag those who may need early intervention.
7. What kind of training do teachers need to effectively use AI in their classrooms? Teachers need training on the specific tools, data interpretation, and ethical considerations related to AI in education.
8. What are the costs associated with implementing AI in special education? Costs vary depending on the chosen tools and infrastructure requirements, but funding opportunities and open-source options exist.
9. How can parents participate in the use of AI in their child's special education? Parents should be informed about the tools used, have access to data, and be involved in decisions regarding their child's learning.
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1. "Adaptive Learning Platforms and Their Impact on Students with Learning Disabilities": This article explores the effectiveness of adaptive learning platforms in improving learning outcomes for students with specific learning disabilities.
2. "AI-Powered Assistive Technology: A Review of Current Tools and Future Trends": This article provides a comprehensive review of existing AI-powered assistive technologies and discusses emerging trends in the field.
3. "The Ethical Implications of Using AI in Special Education: A Case Study": This article examines the ethical dilemmas associated with the use of AI in special education through a detailed case study.
4. "Teacher Perceptions and Attitudes Towards AI in Special Education": This article explores teachers' perspectives on the implementation of AI in special education settings and identifies potential barriers to adoption.
5. "Predictive Modeling in Special Education: Identifying Students at Risk": This article focuses on the use of predictive modeling techniques to identify students who are at risk of academic failure or behavioral issues.
6. "The Role of Natural Language Processing in Supporting Communication for Students with ASD": This article discusses the application of NLP in creating communication tools for students with autism spectrum disorder.
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| ai for special education: AI-Assisted Special Education for Students With Exceptional Needs Kumar, Ashish, Nayyar, Anand, Sachan, Rohit Kumar, Jain, Rachna, 2023-10-02 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. |
| ai for special education: TRANSFORMING SPECIAL EDUCATION THROUGH ARTIFICIAL INTELLIGENCE. , 2024 |
| ai for special education: Information Systems, E-learning, and Knowledge Management Research Miltiadis D. Lytras, Da Ruan, Robert D. Tennyson, Patricia Ordonez De Pablos, Francisco José García Peñalvo, Lazar Rusu, 2013-01-11 This book constitutes the proceedings of the 4th World Summit on the Knowledge Society, WSKS 2011, held in Mykonos, Greece, in September 2011. The 90 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers address issues such as information technology, e-learning, e-business, cultural heritage, e-government. |
| ai for special education: OECD Digital Education Outlook 2021 Pushing the Frontiers with Artificial Intelligence, Blockchain and Robots OECD, 2021-06-08 How might digital technology and notably smart technologies based on artificial intelligence (AI), learning analytics, robotics, and others transform education? This book explores such question. It focuses on how smart technologies currently change education in the classroom and the management of educational organisations and systems. |
| ai for special education: AI and education Miao, Fengchun, Holmes, Wayne, Ronghuai Huang, Hui Zhang, UNESCO, 2021-04-08 Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed] |
| ai for special education: Virtual Reality, Augmented Reality and Artificial Intelligence in Special Education Ange Anderson, 2019-03-20 New technologies and ongoing developments in the fields of Virtual reality, augmented reality and artificial intelligence are changing the ways in which we facilitate learning. Recognising the positive role these technologies can play in the learning and progress of students assessed as having special educational needs, this practical guide explains the characteristics, benefits, risks and potential applications of new technologies in the classroom. An innovative and timely resource, Virtual Reality, Augmented Reality and Artificial Intelligence in Special Education offers a background in the evidence-based theory and practice of using new technologies in an educational context. Accessible and free of complex jargon, chapters provide information on the development, intended uses and most current terminology used in relation to technologies, and explains how modern equipment, approaches and possibilities can be used to promote improved communication skills, independent learning and heightened self-esteem amongst students diagnosed with SEND. Offering a wealth of practical tips, downloadable resources and ideas for engaging with technology in the classroom, the text will support teachers to ensure that students can benefit from exciting technological advances and learn to use them appropriately. Demystifying a complex and varied field, this practical resource will inspire and inform teachers, SENCOs and practitioners working with children and students with SEND as they harness the use of technology in the classroom. |
| ai for special education: Revolutionizing Education in the Age of AI and Machine Learning Habib, Maki K., 2019-09-15 Artificial Intelligence (AI) serves as a catalyst for transformation in the field of digital teaching and learning by introducing novel solutions to revolutionize all dimensions of the educational process, leading to individualized learning experiences, teachers playing a greater role as mentors, and the automation of all administrative processes linked to education. AI and machine learning are already contributing to and are expected to improve the quality of the educational process by providing advantages such as personalized and interactive tutoring with the ability to adjust the content and the learning pace of each individual student while assessing their performance and providing feedback. These shifts in the educational paradigm have a profound impact on the quality and the way we live, interact with each other, and define our values. Thus, there is a need for an earnest inquiry into the cultural repercussions of this phenomenon that extends beyond superficial analyses of AI-based applications in education. Revolutionizing Education in the Age of AI and Machine Learning addresses the need for a scholarly exploration of the cultural and social impacts of the rapid expansion of artificial intelligence in the field of education including potential consequences these impacts could have on culture, social relations, and values. The content within this publication covers such topics as AI and tutoring, role of teachers, physical education and sports, interactive E-learning and virtual laboratories, adaptive curricula development, support critical thinking, and augmented intelligence and it is designed for educators, curriculum developers, instructional designers, educational software developers, education consultants, academicians, administrators, researchers, and professionals. |
| ai for special education: Teaching AI Michelle Zimmerman, 2018-12-15 Get the tools, resources and insights you need to explore artificial intelligence in the classroom and explore what students need to know about living in a world with AI. For many, artificial intelligence, or AI, may seem like science fiction, or inherently overwhelming. The reality is that AI is already being applied in industry and, for many of us, in our daily lives as well. A better understanding of AI can help you make informed decisions in the classroom that will impact the future of your students. Drawing from a broad variety of expert voices from countries including Australia, Japan, and South Africa, as well as educators from around the world and underrepresented student voices, this book explores some of the ways AI can improve education. These include educating learners about AI, teaching them about living in a world where they will be surrounded by AI and helping educators understand how they can use AI to augment human ability. Each chapter offers activities and questions to help you deepen your understanding, try out new concepts and reflect on the information presented. Links to media artifacts from trusted sources will help make your learning experience more dynamic while also providing additional resources to use in your classroom. This book: • Offers a unique approach to the topic, with chapter opening scenes, case studies, and featured student voices. • Discusses a variety of ways to teach students about AI, through design thinking, project-based learning and STEM connections. • Includes lesson ideas, activities and tools for exploring AI with your students. • Includes references to films and other media you can use in class to start discussions on AI or inspire design thinking and STEM projects. In Teaching AI, you’ll learn what AI is, how it works and how to use it to better prepare students in a world with increased human-computer interaction. |
| ai for special education: AI and Ed George A. Goens, 2021-11-12 The United States has undergone several major transformations economically, politically, and socially. Today, the impact of artificial intelligence will bring another transformation affecting citizens’ private lives as well as employment, communication, politics, and almost every other aspect of life. The question artificial intelligence raises is: what kind of education will students need in confronting the obvious and projected impact of technology? Transformations affect obvious aspects of life, but also raise significant issues that challenge values, ethics and standards. The purpose of this book is to define the role of education and its goals, content, and approaches that will assist citizens in addressing the challenges the artificial intelligence movement brings to the life of citizens. Positive aspects of the transformation include communication, productivity, and other issues. However, there are hazards and downsides to artificial intelligence that must be addressed through an educated society. Education’s role encompasses assisting individuals to address the positive and negative aspects of any creative intervention. Thinking coupled with insight into principles, ethics, and the meaning of life are critical. Education prepares individuals for changing times in order to protect their freedoms and democracy and find a life of purpose and meaning. |
| ai for special education: Transforming Special Education Through Artificial Intelligence Walters, Annette G., 2024-10-25 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. |
| ai for special education: Handbook of Research on Teaching with Virtual Environments and AI Gianni Panconesi, Maria Guida, 2021 In a world where where online and offline overlap and coincide, this book presents how digital intelligence is a key competence for the future of education and looks at how AI and other digital tools are improving the world of education-- |
| ai for special education: Artificial Intelligence and Inclusive Education Jeremy Knox, Yuchen Wang, Michael Gallagher, 2019-06-13 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’. |
| ai for special education: ChatGPT for Special Education: Tailored Teaching Tools Jade Summers, 🌟 Discover the Future of Education with AI! 🌟 Are you ready to explore how artificial intelligence is revolutionizing special education? ChatGPT for Special Education: Tailored Teaching Tools offers a groundbreaking look into the transformative potential of ChatGPT, offering a beacon of hope and innovative solutions for students with disabilities. Why settle for a one-size-fits-all approach when AI can customize learning to each student's unique needs? This essential guide delves deep into how ChatGPT creates personalized learning experiences that enhance engagement, boost comprehension, and increase retention. Witness the power of AI as it dynamically adjusts lessons to match the pace and progress of each individual, creating a learning journey that is as unique as your students. Real-life Impact Through Case Studies Through compelling case studies, you’ll see firsthand the profound impact these tailored paths have had on real students. Discover how AI not only supports academic growth but also nurtures communication skills through interactive, real-life scenarios. ChatGPT’s ability to simulate detailed conversations provides a safe and scalable platform for students to practice both verbal and non-verbal communication, bridging the gap in understanding and expression. Psychological and Confidence Benefits Moreover, this guide highlights the psychological and confidence-boosting benefits of AI-assisted learning. Experience how the non-judgmental, endlessly patient nature of AI tutors fosters a supportive and empowering learning environment, bolstering both emotional and educational growth. ChatGPT for Special Education: Tailored Teaching Tools is not just a book—it's a resource, a tool, and an inspiration for educators, parents, and technology enthusiasts. Embrace the opportunity to make a meaningful impact on the lives of learners with special needs. 📘 Grab your copy today and be part of the educational revolution that is shaping the future of learning in special education! Transform lives with the power of AI. 📘 |
| ai for special education: AI Angels: Empowering Children with Special Needs through Artificial Intelligence Khritish Swargiary, Kavita Roy, 2024-03-02 AI Angels: Empowering Children with Special Needs through Artificial Intelligence |
| ai for special education: Artificial Intelligence in Education Wayne Holmes, Maya Bialik, Charles Fadel, 2019-02-28 The landscape for education has been rapidly changing in the last years: demographic changes affecting the makeup of families, multiple school options available to children, wealth disparities, the global economy demanding new skills from workers, and continued breakthroughs in technology are some of the factors impacting education. Given these changes, how can schools continue to prepare students for the future? In a world where information is readily available online, how can schools continue to be relevant? The emergence of Artificial Intelligence (AI) has exacerbated the need to have these conversations. Its impact on education and the multiple possibilities that it offers are putting pressure on educational leaders to reformulate the school curriculum and the channels to deliver it. The book Artificial Intelligence in Education, Promises and Implications for Teaching and Learning by the Center for Curriculum Redesign immerses the reader in a discussion on what to teach students in the era of AI and examines how AI is already demanding much needed updates to the school curriculum, including modernizing its content, focusing on core concepts, and embedding interdisciplinary themes and competencies with the end goal of making learning more enjoyable and useful in students' lives. The second part of the book dives into the history of AI in education, its techniques and applications -including the way AI can help teachers be more effective, and finishes on a reflection about the social aspects of AI. This book is a must-read for educators and policy-makers who want to prepare schools to face the uncertainties of the future and keep them relevant. --Amada Torres, VP, Studies, Insights, and Research, National Association of Independent School (NAIS) The rapid advances in technology in recent decades have already brought about substantial changes in education, opening up new opportunities to teach and learn anywhere anytime and providing new tools and methods to improve learning outcomes and support innovative teaching and learning.Research into artificial intelligence and machine learning in education goes back to the late 1970s. Artificial intelligence methods were generally employed in two ways: to design and facilitate interactive learning environments that would support learning by doing, and to design and implement tutoring systems by adapting instructions with respect to the students' knowledge state.But this is just the beginning. As Artificial Intelligence in Education shows, AI is increasingly used in education and learning contexts. The collision of three areas - data, computation and education - is set to have far-reaching consequences, raising fundamental questions about the nature of education: what is taught and how it is taught. Artificial Intelligence in Education is an important, if at times disturbing, contribution to the debate on AI and provides a detailed analysis on how it may affect the way teachers and students engage in education. The book describes how artificial intelligence may impact on curriculum design, on the individualisation of learning, and on assessment, offering some tantalising glimpses into the future (the end of exams, your very own lifelong learning companion) while not falling victim to tech-hype. The enormous ethical, technical and pedagogical challenges ahead are spelt out, and there is a real risk that the rapid advances in artificial intelligence products and services will outstrip education systems' capacity to understand, manage and integrate them appropriately. As the book concludes: We can either leave it to others (the computer scientists, AI engineers and big tech companies) to decide how artificial intelligence in education unfolds, or we can engage in productive dialogue.I commend this book to anyone concerned with the future of education in a digital world. --Marc Durando, Executive Director, European Schoolnet |
| ai for special education: Perspectives on Wearable Enhanced Learning (WELL) Ilona Buchem, Ralf Klamma, Fridolin Wild, 2019-11-13 Wearable technologies – such as smart glasses, smart watches, smart objects, or smart garments – are potential game-changers, breaking ground and offering new opportunities for learning. These devices are body-worn, equipped with sensors, and integrate ergonomically into everyday activities. With wearable technologies forging new human-computer relations, it is essential to look beyond the current perspective of how technologies may be used to enhance learning. This edited volume,“Perspectives on Wearable Enhanced Learning,” aims to take a multidisciplinary view on wearable enhanced learning and provide a comprehensive overview of current trends, research, and practice in diverse learning contexts including school and work-based learning, higher education, professional development, vocational training, health and healthy aging programs, smart and open learning, and work. This volume features current state of the art wearable enhanced learning and explores how these technologies have begun to mark the transition from the desktop through the mobile to the age of wearable, ubiquitous technology-enhanced learning. |
| ai for special education: Action Research in Special Education Susan Bruce, Gerald J. Pine, 2010-06-27 This is the first book about action research devoted to the complex issues faced by children with special needs and their teachers. The authors begin by providing the historical and philosophical underpinnings of action research and then present a framework for conducting action research in special education. In addition, they feature four examples of actual teacher-researcher studies, as well as a “how-to” chapter that outlines the basic principles needed for conducting action research. This book is essential reading for anyone interested in using action research to enhance student achievement and to address issues of social justice faced by children with special needs. Book Features: Details of the origins and practice of action research in special education. Demonstration of how action research is a dedicated component of preservice teacher preparation. Examples of action research performed by students in the field. |
| ai for special education: Special Education Law Laura Rothstein, Scott F. Johnson, 2013-04-17 Special Education Law, Fifth Edition provides a comprehensive, and student-friendly overview of the major federal laws—and judicial interpretations of those laws—that apply to the education of children with special needs. Laura Rothstein and Scott F. Johnson thoroughly present the most up-to-date information on special education statutes, regulations, and judicial interpretations, including substantial changes in the interpretation of the legistlation. The text helps students understand what the law requires so that they can develop policies and make decisions that comply with these laws. |
| ai for special education: Getting Smart Tom Vander Ark, 2011-09-20 A comprehensive look at the promise and potential of online learning In our digital age, students have dramatically new learning needs and must be prepared for the idea economy of the future. In Getting Smart, well-known global education expert Tom Vander Ark examines the facets of educational innovation in the United States and abroad. Vander Ark makes a convincing case for a blend of online and onsite learning, shares inspiring stories of schools and programs that effectively offer personal digital learning opportunities, and discusses what we need to do to remake our schools into smart schools. Examines the innovation-driven world, discusses how to combine online and onsite learning, and reviews smart tools for learning Investigates the lives of learning professionals, outlines the new employment bargain, examines online universities and smart schools Makes the case for smart capital, advocates for policies that create better learning, studies smart cultures |
| ai for special education: Impacts of Generative AI on the Future of Research and Education Mutawa, Abdullah, 2024-10-09 Artificial Intelligence (AI), particularly Generative Pretrained Transformer (GPT) models, has become one of the most influential and transformative technologies of the 21st century. They have shown immense potential to revolutionize research and education by enabling more efficient data analysis, generating high-quality content, and facilitating personalized learning experiences. As AI continues to evolve, its integration into these fields promises to enhance productivity, foster innovation, and democratize access to knowledge on a global scale. Impacts of Generative AI on the Future of Research and Education provides an in-depth understanding of the implication of AI and GPT in the context of research and education. It comprehensively analyzes the potential, challenges, and ethical considerations of AI integration in these sectors. Covering topics such as academic integrity, ethics, and special education, this book is an excellent resource for educators, researchers, academicians, policymakers, administrators, and more. |
| ai for special education: Advanced Intelligence Systems and Innovation in Entrepreneurship Misra, Sanjay, Jain, Amit, Kaushik, Manju, Banerjee, Chitresh, Singh, Yudhveer, 2024-05-16 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. |
| ai for special education: Legal Aspects of Special Education Kurt Hulett, 2009 For every course in Special Education Law and Education Law, or as a perfect supplement to any Educational Administration course, Legal Aspects of Special Education was written by a practitioner to help teachers, administrators, and advocates understand special education law in everyday language- without excessive legalese or extraneous case law. Different in many ways from other special education law texts on the market, all of the elements of this text are intended to help its students obtain the most critical information about special education law and how it is applied in the real world. Some unique features include: a fascinating opening interview and then epilogue with Joe Ballard, a pioneer of the IDEA movement; a discussion of Response-to-Intervention (RTI) and the implication of IDEA 2004 for school districts; and a discussion of the history of special education and its link to the Civil Rights Movement. Additionally, the book provides case studies and application questions, critical thinking questions, the most current information on the laws including No Child Left Behind and the Individuals with Disabilities Education Act of 2004, and a discussion of major trends changing the laws, including that of autism. |
| ai for special education: A Survival Guide for New Special Educators Bonnie S. Billingsley, Mary T. Brownell, Maya Israel, Margaret L. Kamman, 2013-04-01 What every special education teacher needs to know to survive and thrive A Survival Guide for New Special Educators provides relevant, practical information for new special education teachers across a broad range of topic areas. Drawing on the latest research on special educator effectiveness and retention, this comprehensive, go-to resource addresses the most pressing needs of novice instructors, resource teachers, and inclusion specialists. Offers research-based, classroom-tested strategies for working with a variety of special needs students Covers everything from preparing for the new school year to behavior management, customizing curriculum, creating effective IEPs, and more Billingsley and Brownell are noted experts in special educator training and support This highly practical book is filled with checklists, forms, and tools that special educators can use every day to help ensure that all special needs students get the rich, rewarding education they deserve. |
| ai for special education: Navigating AI in Academic Libraries: Implications for Academic Research Sacco, Kathleen, Norton, Alison, Arms, Kevin, 2024-09-25 Today’s research scholars face the problem of how to effectively navigate the transformative impact of Artificial Intelligence (AI) while maintaining ethical integrity and scholarly rigor. AI technologies have permeated every aspect of scholarly inquiry, from information retrieval to research methodologies. As such, scholars grapple with the ethical implications, challenges, and opportunities presented by this technological revolution. Plagiarism, bias, and copyright issues in AI-assisted research threaten to undermine the integrity of academic scholarship. Navigating AI in Academic Libraries: Implications for Academic Research is presented as a groundbreaking solution to the complex challenges posed by AI integration in academia. This comprehensive volume serves as a guide for scholars seeking to navigate the intricacies of AI while upholding ethical standards and scholarly integrity. By addressing critical issues such as plagiarism detection, bias mitigation, and copyright concerns, the book equips scholars with the tools and strategies needed to harness the full potential of AI for academic inquiry. |
| ai for special education: AI-Powered Education Hebooks, In AI-Powered Education: How Artificial Intelligence Will Revolutionize Education, delve into the transformative realm of artificial intelligence (AI) and its profound impact on the educational landscape. Explore the dynamic shift towards personalized learning and adaptive teaching facilitated by cutting-edge learning technologies. Witness the unfolding of a revolution that redefines traditional education, embracing AI to tailor educational experiences for individual needs. Gain insights into how AI's integration is orchestrating an education transformation, shaping a future where learning is personalized, dynamic, and incredibly effective. Discover the immense potential AI holds to revolutionize the way we teach and learn, presenting a promising outlook for the future of education. |
| ai for special education: Comparing Special Education John Richardson, Justin Powell, 2011-05-17 Comparing Special Education unites in-depth comparative and historical studies with analyses of global trends to uncover similarities and differences found in special education systems around the world. |
| ai for special education: The future of education: Integrating AI in the classroom Balasubramanian Thiagarajan, 2024-10-07 In recent years, **Artificial Intelligence (AI)** has rapidly transformed many industries, and education is no exception. As the world embraces the digital age, AI is poised to become an integral part of the educational landscape, reshaping how we teach, learn, and manage educational systems. This book, *The Future of Education: Integrating AI in the Classroom*, explores the profound impact AI is having on education and offers a glimpse into the future of learning in an AI-driven world. The journey to transform education through AI has only just begun, but the potential is immense. AI offers unparalleled opportunities to personalize learning, automate administrative tasks, and create smarter, more engaging learning environments. Through AI, educators can identify the unique needs of each student, providing customized learning paths that adjust in real-time based on a student’s progress. Meanwhile, AI-powered tools allow teachers to focus more on inspiring creativity, critical thinking, and problem-solving, rather than getting bogged down in time-consuming tasks like grading. This book delves into these opportunities and challenges, providing educators, administrators, and policymakers with insights into the current and future applications of AI in education. It highlights how AI is helping to create more equitable learning environments, enabling even the most underserved students to access high-quality education. At the same time, the book discusses the ethical considerations of AI—ensuring that the use of AI technologies is inclusive, unbiased, and respects students’ privacy. Through practical strategies and real-world applications, this book offers a roadmap for integrating AI into the classroom effectively. It is designed to empower educators with the knowledge and tools to harness AI in ways that enhance teaching and learning, foster collaboration, and drive educational innovation. As we embark on this exciting journey, it is essential to recognize that AI will not replace teachers but instead serve as a powerful tool to augment their capabilities. By doing so, we can ensure that the future of education is not only more efficient but also more personalized, engaging, and impactful for every learner. |
| ai for special education: Handbook of Research on Critical Issues in Special Education for School Rehabilitation Practices Singh, Ajay, Yeh, Chia Jung, Blanchard, Sheresa, Anunciação, Luis, 2021-04-23 Rehabilitation professionals working with students with disabilities and the families of those students face unique challenges in providing inclusive services to special education student populations. There needs to be a focus on adaptive teaching methods that provide quality experience for students with varying disabilities to promote student success and inclusivity. Critical issues within these practices span autism, diverse students, gifted education, learning disabilities, behavioral and emotional disorders, and more. With having many different types of students with vastly different situations, it is important for rehabilitation professionals to understand the best practices and learning systems for special education students who have a wide range of needs and challenges. The Handbook of Research on Critical Issues in Special Education for School Rehabilitation Practices focuses on the issues and challenges rehabilitation professionals face in special education and how they can provide inclusive and effective services to diverse student populations. This book highlights topics such as culturally responsive teacher preparation, artificial intelligence in the classroom, universal design, inclusive development, and school rehabilitation and explores the effects these newfound practices in education have on various types of students with disabilities. This book is essential for special education teachers, administrators, counselors, practitioners, researchers, academicians, and students interested in the new methods, theories, and solutions for the best practices in inclusive and effective special education. |
| ai for special education: Arts Integration and Special Education Alida Anderson, 2014-10-30 Arts Integration and Special Education contributes to research, policy, and practice by providing a theory of action for studying how linguistic, cognitive, and affective student engagement relates to arts integrated learning contexts and how these dimensions of engagement influence content area and literacy learning. Arts Integration and Special Education connects the interdisciplinary framework in human development and linguistics, special education, and urban education with primary action research by special educators trained in arts integration, working in an inclusive urban charter school with middle school age students. Upper elementary to middle-grade level student learning is relatively understudied and this work contributes across fields of special education and urban education, as well as arts education. Moreover, the classrooms in which the action research occurs are comprised of students with a diverse range of abilities and needs. The book’s interdisciplinary model, which draws on developmental and educational psychology, special education, and speech/language pathology research and practice, is the first to posit explanations for how and why AI contexts facilitate learning in students with language and sensory processing disorders, and those at-risk for school failure due to low socioeconomic status conditions. |
| ai for special education: Rewiring Education John D. Couch, 2023-01-03 What if we could unlock the potential in every child? As it turns out, we can. Apple's iconic cofounder Steve Jobs had a powerful vision for education: employing technology to make an enormous impact on the lives of millions of students. To realize this vision, Jobs tapped John D. Couch, a trusted engineer and executive with a passion for education. Couch believed the real purpose of education was to help children discover their unique potential and empower them to reach beyond their perceived limitations. Today, technology is increasingly integrated into every aspect of our lives, rewiring our homes, our jobs, and even our brains. Most important, it presents an opportunity to rewire education to enrich and strengthen our schools, children, and society In Rewiring Education, Couch shares the professional lessons he's learned during his 50-plus years in education and technology. He takes us behind Apple's major research study, Apple Classrooms of Tomorrow (ACOT), and its follow-up (ACOT 2), highlighting the powerful effects of the Challenge-Based Learning framework. Going beyond Apple's walls, he also introduces us to some of the most extraordinary parents, educators, and entrepreneurs from around the world who have ignored the failed promises of memorization and, instead, utilize new science-backed methods and technologies that benefit all children, from those who struggle to honor students. Rewiring Education presents a bold vision for the future of education, looking at promising emerging technologies and how we—as parents, teachers, and voters—can ensure children are provided with opportunities and access to the relevant, creative, collaborative, and challenging learning environments they need to succeed. |
| ai for special education: ARTIFICIAL INTELLIGENCE IN EDUCATION: REVOLUTIONIZING LEARNING AND TEACHING Prof. (Dr.) Mita Banerjee, Prof. (Dr.) Sridipa Sinha, Dr. Pranay Pandey, 2024-08-25 |
| ai for special education: Fostering Inclusive Education With AI and Emerging Technologies Sanmugam, Mageswaran, Edwards, Bosede Iyiade, Mohd Barkhaya, Nurul Maziah, Khlaif, Zuheir, 2024-10-24 The rapid advancement of artificial intelligence (AI) and emerging technologies presents a transformative opportunity for the field of education by fostering greater inclusivity and accessibility. AI-powered tools can personalize learning experiences, adapting to the unique needs of students with diverse learning styles, abilities and backgrounds. Emerging technologies can provide immersive and interactive experiences that break down barriers for students with disabilities or those in remote or underserved areas. These technologies have the potential to create a more equitable educational environment, ensuring that all learners, regardless of their circumstances, have the opportunity to succeed. Fostering Inclusive Education With AI and Emerging Technologies explores how these technologies can be leveraged to foster inclusive education, ensuring equitable learning opportunities for all students, regardless of their physical, cognitive, or socio-economic status. It discusses the integration of AI tools to personalize learning experiences, the use of virtual and augmented reality for immersive learning environments, and the implementation of blockchain for secure and transparent educational records. Covering topics such as adaptive learning environments, mobile technologies, and inclusive education, this book is an excellent resource for educators, academicians, researchers, scholars, instructors, instructional designers, pre-service teachers, and more. |
| ai for special education: Deep Learning for Coders with fastai and PyTorch Jeremy Howard, Sylvain Gugger, 2020-06-29 Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala |
| ai for special education: Intellectual and Learning Disabilities , 2024-03-20 Equality relies on inclusiveness. This is especially true in education. This book raises awareness of inclusiveness in learning and teaching environments. It discusses ways to achieve inclusiveness in education for those with intellectual and learning disabilities. The chapters examine inclusive learning and teaching strategies and approaches, as well as the roles of teachers in creating inclusive educational environments. |
| ai for special education: Integration Strategies of Generative AI in Higher Education Arinushkina, Anna A., 2024-09-27 Amidst the rapid evolution of educational technology, a pressing challenge confronts higher education institutions: how to effectively integrate generative artificial intelligence (AI) into their existing frameworks. As universities strive to adapt to the digital age, they are met with the complexities of incorporating AI-driven solutions to enhance teaching, learning, and administrative processes. However, the lack of comprehensive strategies and guidance hinders their ability to leverage AI's full potential, leaving educators and administrators grappling with uncertainty. In response to this critical dilemma, Integration Strategies of Generative AI in Higher Education emerges as a guide for clarity and innovation. By offering methodological insights and practical frameworks, this book equips higher education stakeholders with the tools needed to navigate the intricacies of AI integration. From curriculum enhancement to AI-driven content creation, the book provides actionable strategies tailored to the unique needs and challenges of higher education institutions. |
| ai for special education: Your Special Education Rights Jennifer Laviano, Julie Swanson, 2017-08-15 Drawing on decades of experience, Jennifer Laviano, a high-profile special education attorney, and Julie Swanson, a sought-after special education advocate, help parents of students with disabilities navigate their school systems to get the services they need for their children. Parents will find no other book on special education like Your Special Education Rights. Julie and Jennifer demystify the federal laws that govern the rights of public school children with disabilities and explain how school districts often ignore or circumvent these laws. They pull the curtain back on the politics of special education, exposing truths that school districts don’t want you to know, such as the fact that teachers are often under extraordinary pressure not to spend resources on services. Most importantly, they outline the central rights you and your child have regarding your child’s education. Did you know that you can refer your child for a special education evaluation? That you can ask for a second opinion if you disagree with the results of some or all of the testing? That you are entitled to parent counseling, training, and more? They also show you how to take that knowledge and apply it to advocating for your child. Here’s what you need to know about the paperwork you will have to complete, detailed information on how to advocate for your child and how to craft language in documents that benefit your child, and more. Filled with vital information and invaluable resources, Your Special Education Rights gives you the information you need to help your child succeed in school and beyond. |
| ai for special education: The Knowledge Gap Natalie Wexler, 2020-08-04 The untold story of the root cause of America's education crisis--and the seemingly endless cycle of multigenerational poverty. It was only after years within the education reform movement that Natalie Wexler stumbled across a hidden explanation for our country's frustrating lack of progress when it comes to providing every child with a quality education. The problem wasn't one of the usual scapegoats: lazy teachers, shoddy facilities, lack of accountability. It was something no one was talking about: the elementary school curriculum's intense focus on decontextualized reading comprehension skills at the expense of actual knowledge. In the tradition of Dale Russakoff's The Prize and Dana Goldstein's The Teacher Wars, Wexler brings together history, research, and compelling characters to pull back the curtain on this fundamental flaw in our education system--one that fellow reformers, journalists, and policymakers have long overlooked, and of which the general public, including many parents, remains unaware. But The Knowledge Gap isn't just a story of what schools have gotten so wrong--it also follows innovative educators who are in the process of shedding their deeply ingrained habits, and describes the rewards that have come along: students who are not only excited to learn but are also acquiring the knowledge and vocabulary that will enable them to succeed. If we truly want to fix our education system and unlock the potential of our neediest children, we have no choice but to pay attention. |
| ai for special education: Special Education Design and Development Tools for School Rehabilitation Professionals Singh, Ajay, Viner, Mark, Yeh, Chia Jung, 2019-12-13 Educators who work with students with disabilities have the unique challenge of providing comprehensive and quality educational experiences for students who have a wide range of abilities and levels of focus. Pedagogies and educational strategies can be applied across a student population, though they tend to have varied success. Developing adaptive teaching methods that provide quality experiences for students with varied disabilities are necessary to promote success for as many of these students as possible. Special Education Design and Development Tools for School Rehabilitation Professionals is a comprehensive research publication that examines special education practices and provides in-depth evaluations of pedagogical practices for improved educational experiences for students with disabilities. Highlighting a range of topics such as bilingual education, psychometrics, and physical education, this book is ideal for special education teachers, instructors, rehabilitation professionals, academicians, school administrators, instructional designers, curriculum developers, principals, educational software developers, researchers, and students. |
| ai for special education: Teaching Learners with Visual Impairment Maximus M. Sefotho, Ronél Ferreira, 2020-12-31 This book, Teaching Learners with Visual Impairment, focuses on holistic support to learners with visual impairment in and beyond the classroom and school context. Special attention is given to classroom practice, learning support, curriculum differentiation and assessment practices, to mention but a few areas of focus covered in the book. In this manner, this book makes a significant contribution to the existing body of knowledge on the implementation of inclusive education policy with learners affected by visual impairment. |
| ai for special education: Navigating the Toggled Term Matthew Rhoads, 2021 In a guide that combines practical tools and case studies with pedagogical theory and a holistic understanding of education, Navigating the Toggled Term supports K-12 teachers traversing online learning, blended learning, integrating educational technology tools with instructional strategies, and moving among educational settings in the age of COVID-19 |
The Future of Artificial Intelligence in Special Education …
software used for writing with students in special education and discuss similarities and differences with AI software. This discussion is followed by questions and examples related to …
A Guide for Special Education Leaders to Utilize Artificial ...
what special education leaders and their respective classroom educators should consider in the integration of artificial intelligence (AI) features and tools to support individualized instruction. † …
Attitudes towards Education and AI - Special Olympics World …
Parents and teachers see AI’s potential to improve educational outcomes for young people with IDD through adaptive, personalized learning, and by making information more accessible for …
Artificial Intelligence and the Future of Teaching and Learning
This report describes opportunities for using AI to improve education, recognizes challenges that will arise, and develops recommendations to guide further policy development. Rising Interest …
Artificial Intelligence in Special Education: A Decade Review*
Artificial Intelligence (AI) technology has developed computer tools for carrying out a number of tasks, simulating the intelligent way of problem solving by humans. AI techniques have also …
The Role of Artificial Intelligence in the Education of Students …
Artificial intelligence (AI) technology has great potential to enrich the learning experience of special needs students, provide support to teachers, and reduce inequalities in education.
Ai Special Education [PDF] - api.spsnyc.org
special needs It compares traditional education methods with special education practices and highlights the limitations of conventional classrooms in addressing the diverse learning …
Early Adopters: Navigating AI Integration in Special Education …
Exploring the role of artificial intelligence (AI) in education is important as it challenges traditional teaching practices and shapes how educators may approach them in the future. In this article, …
AI Demystified: What Special Education Practitioners Need to …
What are some tools that use AI that I might want to use? What are some resources for the ethics and legality of AI? Why We Need to Talk about AI and Education... Future? What is AI? Some …
Artificial Intelligence and Innovative Applications in Special …
that AI applications will be useful for the diagnosis and evaluation of individuals with special needs, the design of instructions by taking individual differences and learning speeds into …
Artificial Intelligence for Enhancing Special Education for K-12: …
This study highlights AI’s transformative potential in special educa- tion, advocating for inclusive and personalized learning environments with ethical Al solutions to address unique challenges …
Research on the Application of Artificial Intelligence in Special …
This paper discusses the need for a digital standard of AI application in special education to define the disability severity, provide reference for the classification of disability, and to refine …
AI and VR Enabled Modern LMS for Students with Special Needs
AI-based learning management systems (LMS) have spearheaded personalized learning, nurturing distance learning and replacing traditional classroom learning for special-needs …
Navigating the role of artificial intelligence in special …
Jun 8, 2023 · AI may ofer quick access to a trove of resources and insights for educators. However, this paper questions the assumption that AI inherently enhances special education …
Special Education Administrators Use of Artificial Intelligence …
Artificial Intelligence (AI) integration presents both hurdles and benefits in special education adminis-trative efficiency and educational effectiveness, with promising future potential. The …
AI-Assisted Special Education for Students With
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.
Professors call for further study of potential uses of AI in …
Most importantly, AI should be considered as a tool that can potentially benefit students with disabilities, according to James Basham, KU professor of special education, and co-authors.
Artificial Intelligence in Education: AIEd for Personalised …
Abstract: Artificial intelligence is the driving force of change focusing on the needs and demands of the student. The research explores Artificial Intelligence in Education (AIEd) for building …
Impact of Artificial Intelligence in Special Need Education to …
This paper tries to investigate the impact of AI on special need students and the assistance these tools can extend to teachers in evaluating and imparting education as per the
Artificial Intelligence-Driven Transformation in Special …
Progress in technology, more so in Artificial Intelligence, is changing special education through bettering individual learning, participation, and accessibility. It involves AI technologies in …
The Future of Artificial Intelligence in Special Education …
software used for writing with students in special education and discuss similarities and differences with AI software. This discussion is followed by questions and examples related to …
A Guide for Special Education Leaders to Utilize Artificial ...
what special education leaders and their respective classroom educators should consider in the integration of artificial intelligence (AI) features and tools to support individualized instruction. † …
Attitudes towards Education and AI - Special Olympics World …
Parents and teachers see AI’s potential to improve educational outcomes for young people with IDD through adaptive, personalized learning, and by making information more accessible for …
Artificial Intelligence and the Future of Teaching and Learning
This report describes opportunities for using AI to improve education, recognizes challenges that will arise, and develops recommendations to guide further policy development. Rising Interest …
Artificial Intelligence in Special Education: A Decade Review*
Artificial Intelligence (AI) technology has developed computer tools for carrying out a number of tasks, simulating the intelligent way of problem solving by humans. AI techniques have also …
The Role of Artificial Intelligence in the Education of Students …
Artificial intelligence (AI) technology has great potential to enrich the learning experience of special needs students, provide support to teachers, and reduce inequalities in education.
Ai Special Education [PDF] - api.spsnyc.org
special needs It compares traditional education methods with special education practices and highlights the limitations of conventional classrooms in addressing the diverse learning …
Early Adopters: Navigating AI Integration in Special …
Exploring the role of artificial intelligence (AI) in education is important as it challenges traditional teaching practices and shapes how educators may approach them in the future. In this article, …
AI Demystified: What Special Education Practitioners Need …
What are some tools that use AI that I might want to use? What are some resources for the ethics and legality of AI? Why We Need to Talk about AI and Education... Future? What is AI? Some …
Artificial Intelligence and Innovative Applications in Special …
that AI applications will be useful for the diagnosis and evaluation of individuals with special needs, the design of instructions by taking individual differences and learning speeds into …
Artificial Intelligence for Enhancing Special Education for K …
This study highlights AI’s transformative potential in special educa- tion, advocating for inclusive and personalized learning environments with ethical Al solutions to address unique challenges …
Research on the Application of Artificial Intelligence in …
This paper discusses the need for a digital standard of AI application in special education to define the disability severity, provide reference for the classification of disability, and to refine …
AI and VR Enabled Modern LMS for Students with Special …
AI-based learning management systems (LMS) have spearheaded personalized learning, nurturing distance learning and replacing traditional classroom learning for special-needs …
Navigating the role of artificial intelligence in special …
Jun 8, 2023 · AI may ofer quick access to a trove of resources and insights for educators. However, this paper questions the assumption that AI inherently enhances special education …
Special Education Administrators Use of Artificial Intelligence …
Artificial Intelligence (AI) integration presents both hurdles and benefits in special education adminis-trative efficiency and educational effectiveness, with promising future potential. The …
AI-Assisted Special Education for Students With
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.
Professors call for further study of potential uses of AI in …
Most importantly, AI should be considered as a tool that can potentially benefit students with disabilities, according to James Basham, KU professor of special education, and co-authors.
Artificial Intelligence in Education: AIEd for Personalised …
Abstract: Artificial intelligence is the driving force of change focusing on the needs and demands of the student. The research explores Artificial Intelligence in Education (AIEd) for building …
Impact of Artificial Intelligence in Special Need Education to …
This paper tries to investigate the impact of AI on special need students and the assistance these tools can extend to teachers in evaluating and imparting education as per the
Artificial Intelligence-Driven Transformation in Special …
Progress in technology, more so in Artificial Intelligence, is changing special education through bettering individual learning, participation, and accessibility. It involves AI technologies in …
