AI-Assisted Special Education for Students With Exceptional Needs

AI-Assisted Special Education for Students With Exceptional Needs

Ashish Kumar, Anand Nayyar, Rohit Kumar Sachan, Rachna Jain
Indexed In: SCOPUS
Release Date: October, 2023|Copyright: © 2023 |Pages: 335
DOI: 10.4018/979-8-3693-0378-8
ISBN13: 9798369303788|EISBN13: 9798369303801
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Description & Coverage
Description:

Special education is an innovative practice to teach students with special needs, which incorporates alternate provisions, individual differences, and exceptional requirements to address the needs of people with disabilities. The reality is that typical classrooms are not sufficient to address the needs of students suffering from learning disabilities. 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), and it delves into the fundamental principles, historical background, and current challenges faced in providing effective education to students with special needs. Through comparisons of traditional education methods with special education practices, and an examination of the limitations of conventional classrooms in addressing the diverse learning difficulties of exceptional students, this book brings new solutions to the problem of how to best facilitate learning for these students.

Recognizing the transformative potential of technology, the book emphasizes the role of AI, virtual reality (VR), and augmented reality (AR) in enhancing the learning experiences of disabled students. By leveraging these innovative resources and services, educators and students can benefit from interactive applications, adaptive personalized experiences, and smart classrooms equipped with the latest technologies. AI-assisted tools are explored in depth, showcasing their ability to support and improve the learning abilities of individuals with mental, physical, emotional, behavioral, or intellectual disorders.

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 also 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. From historical perspectives to future reflections, this book serves as a guide for reshaping inclusive education and ensuring that specialized students receive the support and resources they need to thrive in their educational journeys. This book is an invaluable resource for anyone invested in advancing special education through the power of AI.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Adapted Equipped Classrooms
  • Advanced Learning Experience
  • Alternate Provisions
  • Artificial Intelligence (AI)
  • Augmented Reality (AR)
  • Disability
  • Disorders (Mental, Physical, Emotional, Behavioral, Intellectual)
  • Exceptional Requirements
  • Individual Differences
  • Innovative Resources and Services
  • Learning Difficulties
  • Special Education
  • Students with Exceptional Needs
  • Systematic Teaching
  • Virtual Reality (VR)
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Editor/Author Biographies

Ashish Kumar, Ph.D., is working as an associate professor with Bennett University, Greater Noida, U.P., India till date. He has worked with Bharati Vidyapeeth’s College of Engineering (Affiliated to GGS Indraprastha University) from Aug 2009 to Jul 2022. He has completed his Ph.D. in Computer Science and Engineering from Delhi Technological University (formerly DCE), New Delhi, India in 2020. He received the Best Researcher award from the Delhi Technological University for his contribution to the computer vision domain. He has completed M. Tech with distinction in Computer Science and Engineering from GGS Indraprastha University, New Delhi. He has published more than 25 research papers in various reputed national and international journals and conferences. He has published 15+ book chapters in various Scopus-indexed books. He has authored/edited several books in AI, computer vision, and healthcare domains with reputed publishers. He is an active member of various international societies and clubs. He is a reviewer with many reputed journals and in the technical program committee of various national/ international conferences. Dr. Kumar also served as a session chair at many international and national conferences. His current research interests include object tracking, image processing, artificial intelligence, and medical imaging analysis.

Anand Nayyar received a Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks, Swarm Intelligence and Network Simulation. He is currently working in School of Computer Science-Duy Tan University, Da Nang, Vietnam as Professor, Scientist, Vice-Chairman (Research) and Director- IoT and Intelligent Systems Lab. A Certified Professional with 125+ Professional certifications from CISCO, Microsoft, Amazon, EC-Council, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Published more than 175+ Research Papers in various High-Quality ISI-SCI/SCIE/SSCI Impact Factor- Q1, Q2, Q3, Q4 Journals cum Scopus/ESCI indexed Journals, 70+ Papers in International Conferences indexed with Springer, IEEE and ACM Digital Library, 40+ Book Chapters in various SCOPUS/WEB OF SCIENCE Indexed Books with Springer, CRC Press, Wiley, IET, Elsevier with Citations: 10500+, H-Index: 55 and I-Index: 195. Member of more than 60+ Associations as Senior and Life Member like: IEEE (Senior Member) and ACM (Senior Member). He has authored/co-authored cum Edited 50+ Books of Computer Science.
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