Work

Performance Measurement and Quality Assurance in Higher Education: Application of DEA, AHP, and Bayesian Models

Year: 2025

Type: article

Abstract: Quality assurance (QA) in higher education has become increasingly vital in response to global competition, digital transformation, and evolving sustainability demands. This study examines the leading QA frameworks—namely the European Standards and Guidelines (ESG), the EFQM Excellence Model, and ISO 9001—while integrating advanced analytical methodologies, including Data Envelopment Analysis (DEA), the Analytic Hierarchy Process (AHP), and Bayesian modeling, to propose a comprehensive framework for assessing university performance. Through empirical analysis and comparative case studies of internationally ranked universities, this study demonstrates that combining objective indicators with quantitative methods significantly improves institutional efficiency, transparency, and competitiveness. Additionally, the role of digital education, ESG-driven sustainability strategies, and AI-based student feedback systems emerge as being crucial to the effectiveness of QA practices. The results suggest that hybrid evaluation models—blending traditional QA principles with data-driven analytics—promote continuous improvement, optimize resource management, and enhance educational outcomes. This research ultimately highlights the growing relevance of advanced quantitative frameworks in modernizing QA systems and supporting universities in addressing dynamic global challenges.

Source: Trends in Higher Education

DOI: 10.3390/higheredu4030054

Author: Gábor Nagy

Institution: University of Miskolc

Language: English

Topic: Higher Education Governance and Development

Subfield: Political Science and International Relations

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $1,207