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Strategic Use of Data in Higher Education Institutions for Quality Enhancement
Abstract
This study examines the strategic integration of data-driven practices in higher education institutions (HEIs) to optimize quality assurance (QA) mechanisms. It highlights the role of data in enhancing QA and institutional improvement, focusing on initiatives by the University Grants Committee (UGC) in Hong Kong. Key practices include developing performance indicators, establishing data management systems, and using external benchmarks to assess effectiveness in teaching, research, and governance. The study outlines principles such as evidence-based decision-making, performance monitoring, resource allocation, and strategic planning. These approaches help universities optimize resources, enhance educational quality, and support continuous improvement. Additionally, the Student Satisfaction and Need Assessment Survey gathers insights into student experiences, informing quality enhancement and promoting accountability. The survey data assist universities in tailoring services, benchmarking against peers, and improving strategic planning.
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