Modeling language learning using specialized Elo ratings

Nataliya Stoyanova*

*Autore corrispondente per questo lavoro

Risultato della ricerca: Contributo in libroContributo a convegno

Abstract

Automatic assessment of the proficiency levels of the learner is a critical part of Intelligent Tutoring Systems. We present methods for assessment in the context of language learning. We use a specialized Elo formula used in conjunction with educational data mining. We simultaneously obtain ratings for the proficiency of the learners and for the difficulty of the linguistic concepts that the learners are trying to master. From the same data we also learn a graph structure representing a domain model capturing the relations among the concepts. This application of Elo provides ratings for learners and concepts which correlate well with subjective proficiency levels of the learners and difficulty levels of the concepts.
Lingua originaleEnglish
Titolo della pubblicazione ospiteProceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
Pagine494-506
Numero di pagine13
DOI
Stato di pubblicazionePubblicato - 2019
EventoInnovative Use of NLP for Building Educational Applications - Firenze
Durata: 2 ago 20192 ago 2019

Workshop

WorkshopInnovative Use of NLP for Building Educational Applications
CittàFirenze
Periodo2/8/192/8/19

Keywords

  • Russian language
  • computer-aided language learning
  • e-learning

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