This article presents the experience of developing a model for constructing an individual learning trajectory for learning the English language. The model is implemented using Notation3 (N3) and N3 Logic Rules. It takes into account the student's initial knowledge level, university curricula, elements of non-formal education, and external courses from MOOC platforms such as Udemy and Coursera. The system dynamically generates personalized learning paths by aligning educational content with ontological representations and semantic reasoning.

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Modeling an Individual Educational Trajectory for Adaptive English Language Learning Based on Semantic Web Technologies

  • O. Spivakovskiy,
  • M. Poltoratskyi,
  • Y. Revenko

摘要

This article presents the experience of developing a model for constructing an individual learning trajectory for learning the English language. The model is implemented using Notation3 (N3) and N3 Logic Rules. It takes into account the student's initial knowledge level, university curricula, elements of non-formal education, and external courses from MOOC platforms such as Udemy and Coursera. The system dynamically generates personalized learning paths by aligning educational content with ontological representations and semantic reasoning.