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AI in Special Education: A Comprehensive Guide to Best Practices and Pitfalls
Author: Dr. Evelyn Reed, PhD, Professor of Special Education and Educational Technology at the University of California, Berkeley. Dr. Reed has over 20 years of experience researching and implementing assistive technologies in special education settings, with a particular focus on the ethical and practical applications of AI.
Publisher: The National Center for Special Education Research (NCSER), a leading organization dedicated to advancing research and improving educational outcomes for students with disabilities. NCSER's expertise lies in translating research into practical applications for educators and policymakers.
Editor: Dr. Michael Jones, EdD, experienced editor with over 15 years of experience in educational publishing and a strong background in assistive technologies and inclusive education practices.
Summary: This guide provides a comprehensive overview of the transformative potential of AI in special education, exploring its diverse applications in personalized learning, assessment, and communication. It highlights best practices for ethical and effective implementation, while also addressing common pitfalls such as bias in algorithms, data privacy concerns, and the crucial role of human interaction. The guide emphasizes the importance of a human-centered approach, where AI serves as a tool to augment, not replace, the expertise of educators and support staff.
Keywords: AI in special education, artificial intelligence in special education, assistive technology, personalized learning, inclusive education, AI ethics, special education technology, AI assessment, data privacy, AI bias, adaptive learning
1. Introduction: The Promise and Potential of AI in Special Education
The field of special education is undergoing a significant transformation, driven by the rapid advancements in artificial intelligence (AI). AI offers unprecedented opportunities to personalize learning, enhance assessment, and improve communication for students with diverse learning needs. However, the ethical and practical implementation of AI in special education requires careful consideration. This guide explores the potential benefits and challenges of AI in this crucial area, providing best practices for successful integration.
2. Applications of AI in Special Education: A Diverse Landscape
AI is being applied in various ways within special education:
Personalized Learning Platforms: AI-powered systems can adapt to individual student learning styles and paces, providing customized instruction and feedback. These platforms can adjust the difficulty level, content, and pacing based on real-time student performance.
Assistive Technology: AI is enhancing existing assistive technologies, such as text-to-speech software and speech-to-text programs, making them more accurate and user-friendly. AI-powered tools can also help students with cognitive impairments access and process information more effectively.
Early Identification and Intervention: AI algorithms can analyze student data to identify early signs of learning difficulties or disabilities, allowing for timely intervention and support.
Automated Assessment: AI can automate the scoring of assessments, freeing up educators' time for more individualized instruction. AI can also provide more detailed and nuanced feedback on student performance.
Communication and Social Skills Training: AI-powered chatbots and virtual reality environments can provide opportunities for students to practice communication and social skills in a safe and supportive setting.
3. Best Practices for Implementing AI in Special Education
Prioritize Ethical Considerations: Ensure fairness, transparency, and accountability in the selection and use of AI tools. Address potential biases in algorithms and protect student data privacy.
Focus on Human-Centered Design: AI should augment, not replace, the expertise of educators and support staff. Maintain a strong emphasis on human interaction and collaboration.
Ensure Accessibility and Inclusivity: AI tools should be accessible to all students, regardless of their disability or learning needs.
Provide Adequate Training and Support: Educators need appropriate training and ongoing support to effectively use AI tools in their classrooms.
Evaluate and Monitor Effectiveness: Regularly evaluate the impact of AI tools on student learning outcomes and make adjustments as needed.
4. Common Pitfalls and Challenges
Bias in Algorithms: AI algorithms can reflect and amplify existing societal biases, leading to unfair or discriminatory outcomes for certain student populations.
Data Privacy Concerns: The collection and use of student data raise important privacy concerns that must be addressed through robust data security measures and transparent data governance policies.
Lack of Transparency and Explainability: The "black box" nature of some AI algorithms can make it difficult to understand how they arrive at their decisions, hindering trust and accountability.
Cost and Accessibility: The cost of implementing AI tools can be a barrier for some schools and districts, particularly those with limited resources.
Teacher Buy-in and Training: Successful implementation requires teacher buy-in and adequate training, which can be challenging to achieve.
5. The Future of AI in Special Education
The future of AI in special education holds immense potential. As AI technologies continue to advance, we can expect even more sophisticated and personalized learning experiences for students with diverse needs. Further research is needed to address the ethical and practical challenges, ensuring that AI is used responsibly and effectively to improve educational outcomes for all students.
Conclusion
AI offers transformative potential for special education, but its successful implementation hinges on careful consideration of ethical implications, data privacy, and the crucial role of human interaction. By adopting a human-centered approach and addressing potential pitfalls, we can harness the power of AI to create more inclusive and effective learning environments for all students.
FAQs
1. What are the ethical concerns surrounding AI in special education? Ethical concerns include potential bias in algorithms, data privacy issues, and the need for transparency and accountability in AI decision-making.
2. How can schools ensure data privacy when using AI tools? Schools should implement robust data security measures, comply with relevant regulations (like FERPA), and establish transparent data governance policies.
3. What kind of training do teachers need to effectively use AI in the classroom? Teachers need training on the specific AI tools they will be using, as well as on the pedagogical implications of integrating AI into their teaching practices.
4. How can AI help identify students with learning disabilities earlier? AI algorithms can analyze student data (e.g., performance on assessments, classroom behavior) to identify patterns indicative of learning difficulties, allowing for earlier intervention.
5. Can AI replace teachers in special education? No, AI should augment, not replace, teachers. The human element of teaching, including empathy, emotional support, and individualized attention, remains crucial.
6. What are the potential biases in AI algorithms used in special education? Biases can stem from the data used to train the algorithms, potentially leading to unfair or inaccurate assessments and recommendations for certain student groups.
7. How can schools afford to implement AI tools in special education? Schools can explore grant opportunities, partnerships with technology companies, and cost-effective open-source AI tools.
8. What are the long-term benefits of using AI in special education? Long-term benefits include improved student outcomes, increased teacher efficiency, and more personalized and inclusive learning environments.
9. How can parents be involved in the decision-making process regarding AI in their child's education? Schools should establish clear communication channels with parents and involve them in discussions about the use of AI tools and data privacy policies.
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2. "Ethical Considerations in the Use of AI for Assessing Students with Disabilities": This article delves into the ethical implications of using AI for assessment, addressing issues of bias, fairness, and data privacy.
3. "The Role of AI in Early Intervention for Children with Developmental Delays": This article examines how AI can facilitate early identification and intervention for children at risk of developmental delays.
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| ai in 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 in 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 in special education: TRANSFORMING SPECIAL EDUCATION THROUGH ARTIFICIAL INTELLIGENCE. , 2024 |
| ai in 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 in 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 in 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 in 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 in 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 in 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 in 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 in 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 in special education: Dance, Access and Inclusion Stephanie Burridge, Charlotte Svendler Nielsen, 2017-07-06 The arts have a crucial role in empowering young people with special needs through diverse dance initiatives. Inclusive pedagogy that integrates all students in rich, equitable and just dance programmes within education frameworks is occurring alongside enabling projects by community groups and in the professional dance world where many high-profile choreographers actively seek opportunities to work across diversity to inspire creativity. Access and inclusion is increasingly the essence of projects for disenfranchised and traumatised youth who find creative expression, freedom and hope through dance. This volume foregrounds dance for young people with special needs and presents best practice scenarios in schools, communities and the professional sphere. International perspectives come from Australia, Brazil, Cambodia, Canada, Denmark, Fiji, Finland, India, Indonesia, Jamaica, Japan, Malaysia, New Zealand, Norway, Papua New Guinea, Portugal, Singapore, South Africa, Spain, Taiwan, Timor Leste, the UK and the USA. Sections include: inclusive dance pedagogy equality, advocacy and policy changing practice for dance education community dance initiatives professional integrated collaborations |
| ai in 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 in 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 in 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 in 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 in 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 in 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 in 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 in 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 in 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 in 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 in 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 in special education: Artificial Intelligence and Tutoring Systems Etienne Wenger, 2014-05-12 Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge focuses on the cognitive approaches, methodologies, principles, and concepts involved in the communication of knowledge. The publication first elaborates on knowledge communication systems, basic issues, and tutorial dialogues. Concerns cover natural reasoning and tutorial dialogues, shift from local strategies to multiple mental models, domain knowledge, pedagogical knowledge, implicit versus explicit encoding of knowledge, knowledge communication, and practical and theoretical implications. The text then examines interactive simulations, existing CAI traditions, and learning environments. The manuscript elaborates on knowledge communication, didactics, and diagnosis. Topics include knowledge presentation and communication, pedagogical contexts, target levels of didactic operations, behavioral and epistemic diagnosis, and aspects of diagnostic experience. The publication is a dependable reference for researchers interested in the computational and cognitive approaches to the communication of knowledge. |
| ai in 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 in 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 in 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 in 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 in 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 |
| ai in 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 in special education: Should Robots Replace Teachers? Neil Selwyn, 2019-11-04 Developments in AI, robotics and big data are changing the nature of education. Yet the implications of these technologies for the teaching profession are uncertain. While most educators remain convinced of the need for human teachers, outside the profession there is growing anticipation of a technological reinvention of the ways in which teaching and learning take place. Through an examination of technological developments such as autonomous classroom robots, intelligent tutoring systems, learning analytics and automated decision-making, Neil Selwyn highlights the need for nuanced discussions around the capacity of AI to replicate the social, emotional and cognitive qualities of human teachers. He pushes conversations about AI and education into the realm of values, judgements and politics, ultimately arguing that the integration of any technology into society must be presented as a choice. Should Robots Replace Teachers? is a must-read for anyone interested in the future of education and work in our increasingly automated times. |
| ai in 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 in special education: The SAGE Handbook of Special Education Lani Florian, 2013-12-18 The second edition of The SAGE Handbook of Special Education provides a comprehensive overview of special education, offering a wide range of views on key issues from all over the world. The contributors bring together up-to-date theory, research and innovations in practice, with an emphasis on future directions for the role of special education in a global context of inclusion. This brand new edition features: New chapters on families, interagency collaboration and issues of lifelong learning The UN Convention on the Rights of Persons with Disabilities Policy reform proposals Equity and social justice in education The impact of new thinking on assessment Issues and developments in classification The preparation and qualifications that teachers need The Handbook′s breadth, clarity and academic rigour will make it essential reading for researchers and postgraduate students, and also for practitioners, teachers, school managers and administrators. |
| ai in 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 in 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 in special education: EdTech Essentials Monica Burns, 2021-08-25 An accessible, practical guide to incorporating the 10 essential EdTech skills and strategies in every learning setting. In a world awash in technology, what EdTech skills and strategies should educators focus on to ensure they are making the best use of online spaces for classroom learning? How can they navigate through the overwhelming number of options in digital tools and spaces? How can they guide students in learning best practices? EdTech consultant Monica Burns answers these and other questions in this powerful and reader-friendly guide to incorporating EdTech across all grade levels and subject areas, and in both distance-learning and face-to-face environments. Readers will gain practical advice on * Navigating online spaces, * Curating resources, * Introducing opportunities for exploring the world, * Developing collaboration structures, * Providing time and space to create learning products, * Assessing students, * Creating opportunities for sharing, * Connecting student work to relevant audiences, * Developing transferable skills, and * Planning for tech-rich learning experiences. Each chapter explains why the skill or strategy is essential, including supporting research, classroom examples, guiding questions for planning and reflection, and suggested websites and digital tools for classroom use. The book also includes access to downloadable forms to help you set goals, assess your progress, and build your EdTech tool belt. Timely, accessible, and informed by the author's experience and expertise, EdTech Essentials is a must-read for educators who want proven ways to prepare their students to be productive, responsible users of technology both within and outside the classroom. |
| ai in 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 in special education: Assistive Technology for Young Children Kathleen Curry Sadao, Nancy B. Robinson, 2010 -Assess children's AT needs -- |
| ai in special education: Artificial Intelligence and its Impact on Business Wolfgang Amann, Agata Stachowicz-Stanusch, 2020-06-01 Artificial intelligence (AI) technologies are one of top investment priorities in these days. They are aimed at finding applications in fields of special value for humans, including education. The fourth industrial revolution will replace not only human hands but also human brains, the time of machines requires new forms of work and new ways of business education, however we must be aware that if there is no control of human-chatbot interaction, there is a risk of losing sight of this interaction’s goal. First, it is important to get people to truly understand AI systems, to intentionally participate in their use, as well as to build their trust, because “the measure of success for AI applications is the value they create for human lives” (Stanford University 2016, 33). Consequently, society needs to adapt to AI applications if it is to extend its benefits and mitigate the inevitable errors and failures. This is why it is highly recommended to create new AI-powered tools for education that are the result of cooperation between AI researchers and humanities’ and social sciences’ researchers, who can identify cognitive processes and human behaviors. This book is authored by a range of international experts with a diversity of backgrounds and perspectives hopefully bringing us closer to the responses for the questions what we should teach (what the ‘right’ set of future skills is), how we should teach (the way in which schools should teach and assess them) and where we should teach (what implications does AI have for today’s education infrastructure). We must remember as we have already noticed before “…education institutions would need to ensure that that they have an appropriate infrastructure, as well as the safety and credibility of AI-based systems. Ultimately, the law and policies need to adjust to the rapid pace of AI development, because the formal responsibility for appropriate learning outcomes will in future be divided between a teacher and a machine. Above all, we should ensure that AI respect human and civil rights (Stachowicz-Stanusch, Amann, 2018)”. |
| ai in special education: A Special Education in Anxiety Bradley Smith, 2018-04-24 Anxiety is consuming the life of Michael Smith, a young Special Education teacher, causing him to feel hopeless and defeated. He constantly worries about his next cycle of fuzzy-headed thoughts, and sweat that sprouts like a virus and rolls off his face. Michael is trying to keep his anxiety from derailing what he is truly passionate about-teaching his class of middle school students with autism, Down syndrome, and other special needs. In A Special Education in Anxiety, the reader will meet Michael's unique and engaging class who experience a year together of positive breakthroughs and heartbreaking loss. His special needs students, as well as some unexpected adults, will be key in Michael's pursuit of overcoming his anxiety. New edition includes discussion questions and topics for book group conversations. |
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