Abstract

The engagement of students in various learning activities can lead to productive learning. The university education system requires continuous evaluation of quality and suggestions for improvement at several points. All universities follow quality assessment procedures and incorporate them into their mainstream practices. However, many procedures are performed manually, which consumes a significant amount of time for both administration and faculty members. The challenge confronting all universities is to design a quality education framework that effectively minimizes the gap between educational outcomes and current market demand. In this study, we propose an academic quality assessment framework (AQAF) that automates all procedures from the beginning to the showcasing of results by carefully studying the workflows of academic and evaluation processes. Course Learning Outcomes (CLOs) will be mapped to Student Outcomes (SOs); subsequently, these SOs are measured using the scores given by several formative and summative assessment methods. The level of attainment of SOs is achieved in the form of performance indicators. This research aims to examine all academic quality workflows regarding documents and information at various levels, such as department, college, and university, and incorporate all these workflows in the academic quality assessment framework (AQAF). This system serves as both an analytical and quality workflow management tool, achieving approximately 40–60% reduction in processing time compared to manual methods. The system will support computer science (CS) and information technology (IT) program evaluations for the Accreditation Board for Engineering and Technology (ABET) and the National Commission for Academic Accreditation and Assessment (NCAAA) accreditations.

Key words: ABET; academic quality assessment; course learning outcomes; NCAAA; quality education; student outcomes.