This paper proposes an effective decision support system
based on an absorbing Markov model, 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 different 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 student’s
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. The
proposed model is validated using cross-validation methodology, and
the achieved results were acceptable
Decision Support System of Employee Performance Evaluation
