Artificial intelligence (AI) is reshaping the landscape of higher education by redefining how quality is monitored, assured, and enhanced. This paper examines Qatar’s pioneering approach to embedding AI within its national quality assurance and accreditation framework, led by the National Committee for Qualifications and Academic Accreditation (NCQAA). Anchored in Qatar’s National Vision 2030 and National Artificial Intelligence Strategy, the study illustrates how AI-driven tools can strengthen institutional accountability, streamline accreditation processes, and uphold ethical governance. A structured methodological model is proposed to guide higher education institutions in assessing readiness, developing policy, and integrating AI responsibly. Beyond Qatar, the framework offers transferable insights for countries seeking to harmonise innovation with integrity in their quality assurance systems. By translating national policy into institutional practice, the paper highlights AI’s potential to foster transparency, inclusivity, and data-informed decision-making in the pursuit of academic excellence.

The paper has been published in the journal Quality in Higher Education and is available here: Artificial intelligence for quality assurance in higher education: a policy-to-practice model from Qatar with global relevance

This research aimed to study institutional readiness and capacity of colleges affiliated with the National University in Bangladesh to implement quality assurance activities. Specifically, it aimed to identify:

• the institutional capacity and readiness of teachers and leaders trained under the College Education Development Project in supporting quality assurance activities initiated by the Bangladesh accreditation Council within tertiary level colleges in Bangladesh;
• gaps in the existing ECPD training programmes for BCEDP college leaders and teacher.

The overall objective of the proposed research project was to study the impact of COVID-19 on Quality Assurance and Accreditation Systems of the countries who are technologically weak. The information on interim efforts and difficulties faced by the QAA Agencies of technologically weak countries towards digitalization of the system and process would provide policy feedback to advance the system to a next stage. The aim of this study was to explore the best practices initiated by the agencies of the economically and technologically advanced countries so as to adopt similar measures by developing countries. The project would also map the problems the QAA Agencies of developed and developing countries faced during the transition to digital era of assessment.

This research was designed with three objectives namely i) to explore the impacts of COVID-19 to the QAA Agencies and review the strengths and weaknesses of existing QAA system, ii) map the innovative ways initiated by the QAA agencies to carry out assessment for accreditation amidst the pandemic, and iii) identify the risk and problems associated with digital transformation (innovative approach) of assessment.