Linguistically-Driven Strategy for Concept Prerequisites Learning on Italian

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Abstract

We present a new concept prerequisite learning method for Learning Object (LO) ordering that exploits only linguistic features extracted from textual educational resources. The method was tested in a cross- and in- domain scenario both for Italian and English. Additionally, we performed experiments based on a incremental training strategy to study the impact of the training set size on the classifier performances. The paper also introduces ITA-PREREQ, to the best of our knowledge the first Italian dataset annotated with prerequisite relations between pairs of educational concepts, and describe the automatic strategy devised to build it.

Citation

@inproceedings{miaschi2019linguistically,
  title={Linguistically-Driven Strategy for Concept Prerequisites Learning on Italian},
  author={Miaschi, Alessio and Alzetta, Chiara and Cardillo, Franco Alberto and Dell’Orletta, Felice},
  booktitle={Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications},
  pages={285--295},
  year={2019}
}