A User-Intent Context-Aware Recommendation Approach for Low-Resource Online Learning Environments (Mauritanian Context)

User experience in distance learning is often conceptualized through interactions between the learner and the system’s interface. These interactions can be understood as the dynamic interplay between user behavior and system behavior, each initiated or guided by distinct mechanisms. User behavior, inherently autonomous, cannot be directly dictated, whereas system behavior can be designed to guide or constrain user actions. In human-guided systems, the process primarily responds to user input, offering limited control over the learning experience. Conversely, system-guided interactions selectively present content and collect targeted information, shaping the learner’s engagement and, in some cases, eliciting responses that the user may not consciously provide. This duality of guidance highlights the critical role of system design in influencing both overt and latent aspects of learner behavior, emphasizing the importance of adaptive mechanisms to optimize user experience in distance learning environments.

@article{Sabeima2026,
  title     = {A User-Intent Context-Aware Recommendation Approach for Low-Resource Online Learning Environments (Mauritanian Context)},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {17},
  number    = {8},
  year      = {2026},
  publisher = {The Science and Information Organization},
  author    = {Massra Sabeima},
  doi       = {10.14569/IJACSA.2026.0170894},
  url       = {https://doi.org/10.14569/IJACSA.2026.0170894}
}