@inproceedings{c687156c94734f5c88941ec3919be8ac,
title = "Prerequisite Structure Discovery in Intelligent Tutoring Systems",
abstract = "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.",
keywords = "Intelligent Tutoring Systems, Knowledge Structure Discovery, Knowledge Tracing",
author = "Louis Annabi and Nguyen, \{Sao Mai\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Development and Learning, ICDL 2023 ; Conference date: 09-11-2023 Through 11-11-2023",
year = "2023",
month = jan,
day = "1",
doi = "10.1109/ICDL55364.2023.10364416",
language = "English",
series = "2023 IEEE International Conference on Development and Learning, ICDL 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "176--181",
booktitle = "2023 IEEE International Conference on Development and Learning, ICDL 2023",
}