Oct 2026· Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Education
Abstract
The development of artificial intelligence (AI) is creating new opportunities for improving quality management in higher education. Universities collect large amounts of information about student satisfaction, learning outcomes, educational processes, and institutional performance. However, this information is not always used to support timely and well-grounded management decisions. This article examines how AI can support quality management through data analysis, the identification of recurring problems, and the monitoring of improvement activities. Based on an analysis of international guidance and quality management principles, the article proposes a conceptual five-stage model that combines AI-assisted analysis with human validation and institutional responsibility. Particular attention is paid to data protection, reliability, transparency, and the risks of excessive reliance on automated recommendations. The article argues that AI should support decision-making rather than replace professional judgement. The proposed model can serve as a starting point for pilot initiatives in higher education quality management.
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