An academic decision-support system based on academic performance evaluation for student and program assessment

Abstract

Statistics plays an important role in assessment and evaluation of performance in academic environments. Universities need to have extensive analysis capabilities of student achievement levels in order to make appropriate academic decisions, Conversely, academic decisions it-ill result in academic performance changes, which need to be assessed periodically and over spans of time. In this work, the different ways in which student performance data can be analyzed and presented for academic decision-making are investigated and a software package called the Performance-based Academic Decision-Support System (PADSS) is developed The performance parameters chosen can be viewed at the individual student, department, school and university levels.