| Abstract | This paper outlines the results of a study aimed to propose a new managerial instrument for performance enhancement of internal quality assurance systems and employ Data Envelopment Analysis (DEA) to estimate efficiency scores for technical departments within Mansoura University (MU). The input measures are constructed from Student Support, Teaching and Learning Methods, Facilities required for teaching and learning, Curriculum, Administration& Staff Development. While the output measures are based on Intended Learning Outcomes (ILOs), Quality of Learning Opportunities, and Students Achievement. Using frontier analysis we are able to separate technical departments that might qualify, as performing well from those where some improvement might be possible. A new managerial instrument treats quality enhancement as the relative comparison of a number of comparable departmental decision– making units (DMU's). The evidence suggests DEA technique can help on obtaining national optimal levels of quality dimensions that are directly linked to critical performance outcomes for technical departments. This could imply a better allocation by the university of the usually scarce public financial resources available to higher education institutions (HEI's) and enhancement of internal quality assurance systems. |