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Intelligent Technology and Design for Special Education and Rehabilitation

Editorial Board
Lead Guest Editors:
  • Xianwei Jiang (Nanjing Normal University of Special Education)
  • Yudong Zhang (Nanjing Normal University, China)
Aims & Scope
The new economy of information technology is shaping the way we are living. The development and advancement of intelligent technology has improved the well-being of human life, learning and work. Compared to healthy people, for people with special educational and rehabilitation needs, such technology can contribute to an improved quality of life and, thus, providing this diverse target group with more inclusive and accessible opportunities in their everyday life. For instance, sign language recognition system (SLRS) can smooth the gaps between deaf and healthy people, Blind Maps Guide can help blind travel without barriers, intelligent early diagnosis can detect and aid in the diagnosis of autism. Moreover, applying deep learning, Virtual Reality/ Augmented Reality, BigData Mining etc. are also significant for people in disease or rehabilitation. Again, more new intelligent technologies and new methods are waiting to be demonstrated and designed. These technological advancements can be adopted not only for the scenarios mentioned above but also in specific contexts of remote/virtual learning. As one of the important branches, E-Learning is defined as a method of content dissemination and rapid learning through the application of information technology and Internet technology. It is not limited to long-distance education. Online teaching can also play an important role in the traditional campus teaching environment. These areas are also waiting for the intelligent technologies and designs.This special issue aims to report the latest advances in every aspect of design and simulation in field of special education and rehabilitation, including intelligent techniques, methods, design and applications. Contributions containing new insights and findings in these fields are welcome. Particular attention will be given to the following thematic areas; submissions pertaining to a broader thematic range are encouraged, too.
  • Sign language recognition system (SLRS)
  • Travel barrier-free guide design for blind in educational environments
  • Braille conversion using deep learning in special education
  • Face micro-expression recognition in e-learning applications and frameworks
  • Intelligent User Interface in e-learning scenarios
  • Image Analysis based on Computer Vision in rehabilitation
  • Transfer learning
  • Virtual Reality/ Augmented Reality and Human-Computer Interaction in e-learning scenarios
  • Intelligent rehabilitation for Visual, Hearing and Physical Impairments
  • Application of intelligent health management in e-learning course
  • Integrated optimization algorithm in design for rehabilitation
Keywords
Manuscript submission deadline:
2020-10-17
Notification of acceptance:
2020-11-17
Submission of final revised paper:
2020-12-19
Publication of special issue (tentative):
2021-01-22

Publication:
e-Learning