الفهرس 
AcknowledgmentOnly 14 pages are availabe for public view
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Abstract
Educational Business Intelligence (EBI) is one of the most significant areas which use several techniques to improve and enhance the quality of education. It is used in a variety of tasks such as Student Identification System, Instant Quizzing Module (IQM), Students Notification Management ”SNM” and etc. Unfortunately, many techniques need to be improved in order to obtain accurate data. Effective use of Student Attendance Management (SAM) in higher educational institution represents a big challenge for faculty members that need fast and accurate approaches.The traditional manual approach is prone to spoofing and wasting a lot of staff/students time and poor accuracy especially in the case of large student numbers. Therefore, this thesis presents an effective solution for the real-time student management problem in large lecture halls. Fast response time and high accuracy imply using high-speed technologies and processes for student identification. Radio Frequency Identification (RFID) and novel face recognition and identification approaches have been implemented and tested in this thesis.A multimodal approach for student identification combined the power of both the traditional RFID approach and Multi-Scale Structural Similarity (MS-SSIM) index. Capturing the authentic face variability from a sequence of video frames has been considered for the recognition of faces and resulted in system robustness against the variability of facial features. Experimental results indicated an improvement in the performance of the proposed system compared to the state-of-the-art approaches at a rate between 2% to 5%. In addition, it decreased the time three times if compared with the state-of-the-art techniques, such as Extreme Learning Machine (ELM). Finally, it achieved an accuracy of 99%. This thesis also presents a wireless system for instant quizzing in the classroom and collecting students’ feedback on teachers performance. This system is integrated with a Student Attendance Management System (SAMS) to facilitate management of quizzing and quiz marking in addition to questionnaires about Quizzes. Such a system is very essential for following attendance and student learning progress in addition to formative assessment. The system uses three communication technologies: Wifi, Near Field Communication (NFC), and RFID. Such a low-cost system assures attendance follow up to assure abiding by the university bylaws, avoid spoofing and cheating, and enhance both teaching and learning. A Student Recommendation System (SRS) is also implemented to increase student retention and enhance students success rate.