Decision Support System Based on Markov Model for Performance Evaluation of Students Flow in FCIT-KAU
Abdul Hamid M. Ragab, Ahmed M. Khedra · 2012
This paper proposes an effective decision support system based on an absorbing Markov, which is used for helping decision makers in Faculty of Computing and Information Technology (FCIT) at King Abdul Aziz University (KAU) in controlling student’s flow transition enrollment. Several important controlling criteria that govern student’s flow performance during semesters are evaluated. These include estimating students flow between deferent study levels, the average life time a student spends at each level, the semesters required for graduation, and students graduating probability. A complete performance evaluation comparison between boys and girls at IT College is investigated. Results show that girls achieved better performance than boys. The system has several advantages, such as, helping to find any bottle necks to be solved during students transition study from one semester to another, and helping to know students needed facilities to planning for future required resources, hence achieving good quality and efficient university education.