ARCHITECTURE OF INTELLIGENT EDUCATIONAL MANAGEMENT SYSTEMS IN HIGHER EDUCATION
DOI:
https://doi.org/10.5281/zenodo.19563128Keywords:
artificial intelligence, educational management systems, system architecture, machine learning, higher education, data analytics.Abstract
This paper explores the architectural design of intelligent educational management systems (IEMS) in higher education institutions. The study focuses on the integration of artificial intelligence, data-driven management, and scalable system architectures. A multi-layered architectural framework is proposed, incorporating data acquisition, storage, processing, and decision-support components. The paper also discusses algorithmic foundations and practical implications for improving efficiency and adaptability in university management.
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