Integrating Augmented Reality Learning Objects in Intelligent Tutoring Systems: A Conceptual Model for Engaging Learning Experiences

Despite the progress achieved by E-learning platforms, several limitations remain in sustaining learner engagement over time. With the rapid evolution of information and communication technologies, augmented reality has emerged as a powerful medium for designing pedagogical objects that are interactive, immersive, and adaptable to diverse learning contexts. The integration of augmented reality- based learning objects into intelligent tutoring systems enhances the educational process by providing learners with contextualized, multisensory experiences that align with their preferences and profiles. In this perspective, our objective is to propose a model for augmented reality-based learning objects within the context of an Intelligent Tutoring System. The proposed framework addresses a critical research gap: the absence of systematic architectural models that enable real-time, bidirectional adaptation between AR content representation and ITS decision-making mechanisms. Our model aims to strengthen learner motivation and reduce the risk of disengagement by dynamically adapting content to individual needs. It provides a structured foundation for the design and development of augmented reality-based learning objects within an intelligent tutoring system, ensuring that immersive resources are not only technologically innovative but also pedagogically aligned and personalized through the system’s diagnostic and feedback capabilities.

@article{Tahir2026,
  title     = {Integrating Augmented Reality Learning Objects in Intelligent Tutoring Systems: A Conceptual Model for Engaging Learning Experiences},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {17},
  number    = {1},
  year      = {2026},
  publisher = {The Science and Information Organization},
  author    = {Hind Tahir and Najoua Hrich and Salma El Boujnani and Mohamed Khaldi},
  doi       = {10.14569/IJACSA.2026.0170123},
  url       = {https://doi.org/10.14569/IJACSA.2026.0170123}
}