AI-Supported Decision-Making in Educational Policy and Scientific Administration
Year: 2025
Type: article
Abstract: This paper outlines how mathematical modeling and artificial intelligence can be used to support scientific administration and educational policy-making. By supplementing the algorithmic capabilities of AI and analytical capabilities of quantitative models, the research facilitates better strategic planning, performance evaluation, and resource management. The proposed approach promotes data-driven, open, and responsive management practices. The article also touches on urgent issues such as model interpretability, ethics, and human-AI collaboration. It underscores the need for responsible innovation to bring about good governance and sustainable development of science and education institutions.
Author: Nahid Almasov
Institution: Azerbaijan University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W7084600142
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