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Abstract
This paper presents a method for prerequisite learning classification between educational concepts. The proposed system was developed by adapting a classification algorithm designed for sequencing Learning Objects to the task of ordering concepts from a computer science textbook. In order to apply the system to the new task, for each concept we automatically created a learning unit from the textbook using two criteria based on concept occurrences and burst intervals. Results are promising and suggest that further improvements could highly benefit the results.
Citation
@article{alzetta2019prereq,
title={Prerequisite or Not Prerequisite? That's the problem! An NLP-based Approach for Concept Prerequisite Learning},
author={Alzetta, Chiara and Miaschi, Alessio and Adorni, Giovanni and Dell'Orletta, Felice and Koceva, Frosina and Passalacqua, Samuele and Torre, Ilaria},
journal={Proceedings of the Sixth Italian Conference on Computational Linguistics (CLiC-it 2019)},
pages={20},
year={2019}
}