Using artificial intelligence-based intelligent information systems in higher education

Authors

DOI:

https://doi.org/10.68372/exb1jn47

Keywords:

artificial intelligence, intelligent information system, digital education, knowledge base, database, learning analytics, generative artificial intelligence

Abstract

This article investigates the theoretical and practical aspects of using artificial intelligence-based intelligent information systems in higher education institutions. The main objective of the study is to identify the potential of artificial intelligence technologies in managing the educational process, providing students with information, and supporting learning activities, as well as to develop a conceptual model of an intelligent information system. The study employs scientific literature review, a systems approach, functional modeling, and comparative analysis. As a result, the main components of an intelligent information system, including a database, knowledge base, artificial intelligence module, user interface, and monitoring mechanisms, were identified. Furthermore, the potential of such systems to personalize the educational process, accelerate information retrieval, and support teachers' activities was substantiated. The findings of the study contribute to the development of methodological and technical recommendations for implementing artificial intelligence-based information systems in higher education institutions.

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Published

2026-10-30

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