Abstract: This study presents the design and modeling of an adaptive hypermedia system, capable of dynamically adjusting to the needs and characteristics of each learner according to their profile. In the digital age, where digital content must respond to varied profiles and adapt to learners' preferences and skills, this system offers a personalized approach that improves the learning and interaction experience. This personalized approach aims to enrich the learning and interaction experience with learning environments. This work consists of analyzing the different types of learner profiles, in order to identify the key criteria for effective personalization. Based on this, the authors developed a model of an adaptive and dynamic hypermedia system, capable of adapting in real time. To ensure a clear and coherent structure, the use of UML (Unified Modeling Language) modeling is increased. Preliminary results show that this system offers a relevant and targeted experience thanks to learner engagement and satisfaction, making learning both more relevant and more enjoyable. This work paves the way for future research on the optimization of hypermedia systems by further integrating the individual behaviors of learners, in a truly adaptive learning environment, which values the potential of each learner.

Mohamed Benfarha, Mohammed Sefian Lamarti and Mohamed Khaldi, “Design and Modeling of a Dynamic Adaptive Hypermedia System Based on Learners' Needs and Profile” International Journal of Advanced Computer Science and Applications(IJACSA), 16(4), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160460

@article{Benfarha2025,
title = {Design and Modeling of a Dynamic Adaptive Hypermedia System Based on Learners' Needs and Profile},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160460},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160460},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {4},
author = {Mohamed Benfarha and Mohammed Sefian Lamarti and Mohamed Khaldi}
}