Higher education plays an important role in providing students with knowledge and skills to enter the labor market. The quality of higher education, the satisfaction of the quality of higher education has been concerned by many individuals and organizations. The study aims to explore the factors affecting student satisfaction with the quality of higher education services in Vietnam. Research data was collected from survey results by questionnaires from 396 students of An Giang University, Vietnam National University Ho Chi Minh City, Vietnam. SPSS 20, AMOS 24 software is used for analysis and evaluation of scales through Cronbach's Alpha reliability coefficient; exploratory factor analysis EFA; CFA confirmatory factor; SEM linear regression analysis to test the hypotheses. The results of the SEM model study show that there are six factors affecting student satisfaction with the quality of higher education services in Vietnam, including teaching staff; facilities and teaching facilities; ability to serve; educational activities; student support activities; education programs. From the research results, discussions on educational administration are proposed to improve student satisfaction with the quality of higher education services in Vietnam.

The quality of higher education is vital for a country’s future, not only in terms of transferring knowledge to younger generation but also for supporting economic development. This paper applies data envelopment analysis (DEA) to evaluate the relative efficiency of 38 academic departments at Sepuluh Nopember Institute of Technology, Surabaya, Indonesia. The input factors are the number of lecturers, the number of staff and budget allocations, whereas the output is the performance achievement level. The empirical analysis incorporates two traditional DEA models: the Charnes, Cooper and Rhodes (CCR) and the Banker, Charnes and Cooper (BCC) models with input orientation. The results indicate that the CCR model considers five departments efficient while the BCC model considers ten departments efficient, five of which are those considered efficient by the CCR model. It may seem counterintuitive that a department with an output performance achievement below 100% is deemed efficient, and vice versa. However, the underlying principle of efficiency under input-oriented DEA model is resource utilization. Finally, we provide recommendations for the departments with low efficiency scores to improve their performance.