Modeling language learning using specialized Elo ratings

M. Kopotev

doi:10.18653/v1/W19-4451

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Modeling language learning using specialized Elo ratings

P. 494–506.

Kopotev M.

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.

Language: English

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Keywords: computer assisted language learning изучение языка с помощью компьютера

In book

Innovative Use of NLP for Building Educational Applications

Stroudsburg, PA: Association for Computational Linguistics, 2019.

ICT applications and distance courses for Russian language teaching and learning

Romanov Y., Romanova I., , in: Information Innovative Technologies: Materials of the International scientific–рractical conference.: M.: Association of graduates and employees of AFEA named after prof. Zhukovsky, 2017. P. 70–73.

The paper describes most effective approaches of computer-assisted language learning (CALL), such as ICT applications and Web-based distance learning. When introduced into practical teaching of the Russian language to international students, they considerably enhance the quality of teaching and learning process. ...

Added: July 31, 2017