Modeling language learning using specialized Elo ratings

Jue Hou, Maximilian Koppatz, Jose María Hoya Quecedo, Nataliya Stoyanova, Mikhail Kopotev, Roman Yangarber

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


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.
Original languageEnglish
Title of host publicationInnovative Use of NLP for Building Educational Applications : Proceedings of the 14th Workshop
EditorsHelen Yannakoudakis, Ekaterina Kochmar, Claudia Leacock, Nitin Madnani, Ildikó Pilán, Torsten Zesch
Number of pages13
Place of PublicationStroudsburg
PublisherThe Association for Computational Linguistics
Publication dateAug 2019
ISBN (Electronic)978-1-950737-34-5
Publication statusPublished - Aug 2019
MoE publication typeA4 Article in conference proceedings
EventWorkshop on Innovative Use of NLP for Building Educational Applications - Florence, Italy
Duration: 2 Aug 20192 Aug 2019
Conference number: 14

Fields of Science

  • 113 Computer and information sciences
  • 516 Educational sciences
  • 6121 Languages

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