Samir, A., Tolba, M. (2015). A Proposed E-Learning System for Arabic Sign Language. The Egyptian Journal of Language Engineering, 2(2), 32-41. doi: 10.21608/ejle.2015.60194
Ahmed Samir; Mohamed Tolba. "A Proposed E-Learning System for Arabic Sign Language". The Egyptian Journal of Language Engineering, 2, 2, 2015, 32-41. doi: 10.21608/ejle.2015.60194
Samir, A., Tolba, M. (2015). 'A Proposed E-Learning System for Arabic Sign Language', The Egyptian Journal of Language Engineering, 2(2), pp. 32-41. doi: 10.21608/ejle.2015.60194
Samir, A., Tolba, M. A Proposed E-Learning System for Arabic Sign Language. The Egyptian Journal of Language Engineering, 2015; 2(2): 32-41. doi: 10.21608/ejle.2015.60194
A Proposed E-Learning System for Arabic Sign Language
1Faculty of Computer and Information Science, Ain Shams University, Cairo, Egypt
2Faculty of Computers& Information Technology, Ain Shams University, Cairo, Egypt
Abstract
There is no doubt that the Middle East region suffers from many educational problems especially within the field of people with disabilities. Hearing Impaired (HI) people (especially children) have the right to a quality education, with the same content and to the same academic standards as hearing people. HI education is the education of students with various hearing levels in a way that addresses the students´ individual differences and needs. Unfortunately, the courses in different education levels are not available to HI students in a form they can understand and there are also too few qualified teachers that teach in HI Language Schools. The proposed solution is to provide an eLearning solution that leverages the current IT infrastructures and presents enhanced pedagogical aspects of the e-Course for Arabic Sign Language (ArSL). The proposed system modules will be hosted on a public cloud for security and resource management purposes and will be the base for constructing an e-Learning center for hearing impaired individual education. 3 modules have been built; sign to text, text to sign and student scoring. The system is initially built for 50 signs and two students were exposed to the system. Translation accuracy reached 88%. The student can use either a digital camera or leap motion for signing.
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