DME is associated with a significant decrease in SFCT. SFCT is directly related to vision and foveal thickness, but it is inversely correlated to age. [Ophthalmic Surg Lasers Imaging Retina. 2017;48:970-977.].
This research aimed to design an intelligent S/W agent to represent the sign languages to educate the deaf student as special needs individuals according to the international criteria of tutoring computer software as an intelligent tutoring system. Semi-experimental method and a comparative study between two types of representing sign language (digital video or 3d animation) are shown to determine the most appropriate methods for raising the learning rate of the deaf students. The designed application limited to the unit taught is “The nutrition systems” from the Science curriculum, Second year, Al Amal Schools, at Egypt. The research results revealed that there are significant statistical differences between the averages of the degrees of the two experimental groups in achievement, attributed to the difference type of displaying the sign language (Digital Video or 3d animations) for behalf of the group used the digital video and the Intelligent S/W agent.
Current research aimed to construct an e-tutor according to Dynamic Math Intelligent Tutoring System (MD_ITS)to help mathematics teachers to develop their e-courses, and their Knowledge Base according to e-tutor algorithm and instructional design. A sample of teachers from Taha Hussein Language school, Yarmouk School, Mohammad Najibullah experimental language schools were chosen, The sample is divided into two equal groups: the first experimental group was taught Math Fractions units to fourth grade students of primary schools through the proposed e-tutor software designed in accordance with the intelligent tutoring system (MD_ITS), and the other experimental group was taught by the traditional software prepared by the Ministry of Education. Then the test measurements of Math teachers attitudes towards e-courses depended on ITS were applied. The proposed intelligent (MD_ITS) design, depended on some instructional models. Researcher adopted the model of the « Fogan Tai, 1994» including phases of: analysis phase, instructional design phase, Interaction design phase, production phase. Also addressed the study of the (Rezzaq, 2003) to design a system, based on smart dialogue, to improve the level of student performance as a tool to provide content.The suggested E-tutor MD-ITS depends on the four submodels:1. Expert Model, to extract knowledge and representation.2. Student Model, to determine the student>s knowledge
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