Modeling language learning using specialized Elo ratings

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

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer review

Sammanfattning

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.
Originalspråkengelska
Titel på gästpublikationInnovative Use of NLP for Building Educational Applications : Proceedings of the 14th Workshop
RedaktörerHelen Yannakoudakis, Ekaterina Kochmar, Claudia Leacock, Nitin Madnani, Ildikó Pilán, Torsten Zesch
Antal sidor13
UtgivningsortStroudsburg
FörlagThe Association for Computational Linguistics
Utgivningsdatumaug 2019
Sidor494-506
ISBN (elektroniskt)978-1-950737-34-5
StatusPublicerad - aug 2019
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangWorkshop on Innovative Use of NLP for Building Educational Applications - Florence, Italien
Varaktighet: 2 aug 20192 aug 2019
Konferensnummer: 14

Vetenskapsgrenar

  • 113 Data- och informationsvetenskap
  • 516 Pedagogik
  • 6121 Språkvetenskaper

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