Cloud Mobile Learning for Hearing Impaired Candidates

Lubna Maher Abbadi, Karim Q. Hussein

This paper presents a modern aspect of computer science application deals with Mobile Cloud Computing (MCC) and e-Learning as well as computer application for Hearing Impaired Candidates (HI).  The major aim is to design and implement an authoring system which can generate tutorial lessons oriented to HI candidates however those lessons would be displayed on Mobile while all process of generating, saving and retrieving them in the cloud.  Mechanism of generating lessons is simply the teacher submits his instructional material in text to the system. In the cloud two tasks to beacted, reconstruct the submission into typical tutorial lesson, then translating each word in corresponding video cut. Therefore HI students can read contents of the lesson in sign language. There are security issue has been considered to protect data base. Results of testing the system were positive and the system can successfully generate tutorial lessons for HI students via MCC.