Prerequisite Structure Discovery in Intelligent Tutoring Systems
<|reference_start|>Prerequisite Structure Discovery in Intelligent Tutoring Systems: This paper addresses the importance of Knowledge Structure (KS) and Knowledge Tracing (KT) in improving the recommendation of educational content in intelligent tutoring systems. The KS represents the relations between different Knowledge Components (KCs), while KT predicts a learner's success based on her past history. The contribution of this research includes proposing a KT model that incorporates the KS as a learnable parameter, enabling the discovery of the underlying KS from learner trajectories. The quality of the uncovered KS is assessed by using it to recommend content and evaluating the recommendation algorithm with simulated students.<|reference_end|>
@article{annabi2024prerequisite,
    title={Prerequisite Structure Discovery in Intelligent Tutoring Systems},
    author={Louis Annabi (Flowers, U2IS), Sao Mai Nguyen},
    journal={2023 IEEE International Conference on Development and Learning
  (ICDL), Nov 2023, Macau, China. pp.176-181},
    year={2024},
    doi={10.1109/icdl55364.2023.10364416},
    archivePrefix={arXiv},
    eprint={2402.01672},
    primaryClass={cs.CY cs.AI cs.LG}
}