Navigating International Challenges of Quality Assurance in Higher Education: A Synergy of Gen-AI and Human-Made Solutions

Yalin Li and Mingyou Xie

GBP Proceedings Series, 2025, vol. 3, 186-192

Abstract: In the context of the accelerating internationalization of higher education (HE), quality assurance (QA) faces numerous international challenges, such as difficulties in standard-setting and implementation, flaws in the assessment system, and an imbalance between university autonomy and external constraints. The emergence of Generative Artificial Intelligence (Gen-AI) has brought new opportunities to QA in HE, but it is also accompanied by issues such as data security and ethics. This research aims to explore these challenges, study the application potential of Gen-AI in HE QA, and propose a synergy strategy that combines Gen-AI with human-made solutions. The research uses methods such as literature reviews and case studies. It is found that by establishing a mechanism for the participation of diverse stakeholders, clarifying the responsibilities of all parties, and using Gen-AI to assist in decision-making and management, these challenges can be effectively addressed. At the same time, development suggestions such as strengthening cross-disciplinary cooperation and talent cultivation, continuous monitoring and dynamic adjustment of strategies, and promoting international exchanges and experience sharing are put forward to improve the level of HE QA and promote the development of global HE.

Keywords: higher education; quality assurance; generative artificial intelligence; international challenges; synergy strategy (search for similar items in EconPapers)
Date: 2025
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