Modeling language learning using specialized Elo ratings

P. 494–506.

Копотев М. В.

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.

Ключевые слова: computer assisted language learning, изучение языка с помощью компьютера

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Innovative Use of NLP for Building Educational Applications

Stroudsburg, PA: Association for Computational Linguistics, 2019.