Dimova Popovska, Hristina and Dimovski, Tome and Popovski, Filip (2026) Modular Architecture of an Adaptive e-learning System with an Integrated AI Tutor. In: 2026 61st International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), 01-03 July 2026, Nis, Serbia.
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Abstract
Traditional e-learning systems have limitations in terms of personalization and adaptability, which reduces the efficiency of education. This paper proposes a modular
architecture for an adaptive e-learning system based on
artificial intelligence with an integrated AI Tutor. The
proposed system is a combination of multiple modules that
enable continuous data collection and analysis as well as
dynamic adaptation of teaching content. The architecture is
implemented as layers, namely a client-server structure that
provides real-time interaction and personalization. The paper emphasizes the integration of artificial intelligence and learning analytics, which are the foundation for the
development of modern adaptive e-learning systems.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering |
| Divisions: | Faculty of Information and Communication Technologies |
| Depositing User: | MSc Hristina Dimova Popovska |
| Date Deposited: | 12 Aug 2026 18:40 |
| Last Modified: | 12 Aug 2026 18:40 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/11689 |
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