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AIP Conference ProceedingsVolume 2293, 24 November 2020, Article number 120023International Conference on Numerical Analysis and Applied Mathematics 2019, ICNAAM 2019; Sheraton Rhodes ResortRhodes; Greece; 23 September 2019 through 28 September 2019; Code 165330

Quantitative analysis of the learning curve obtained for foreign language studies(Conference Paper)(Open Access)

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  • aUral Federal University, Mira 19, Ekaterinburg, 620002, Russian Federation
  • bLanguage Interface Inc., 1st Ave. 1221, Seattle, 98101, United States
  • cUral State Law University, Komsomolskaya Street 21, Ekaterinburg, 620137, Russian Federation

Abstract

The article presents the results of an experimental construction and quantitative analysis of the learning curve (LC) obtained from individuals learning a foreign language. The experiment was conducted at the Ural Federal University named after the first President of Russia B.N. Yeltsin. Three types of LC were constructed for different level of English skills of the subjects: Pre-Intermediate, Intermediate and Upper-Intermediate. Comparison of these curves demonstrates that the subject's knowledge acquisition keeps running for 14 hours after the flash memory session. The paper presents two dependencies for constructing an approximation of the learning curve: logarithmic and polynomial. Based on a comparison of the approximation of the experimental LCs with functions of various types, we suggest that they all provide satisfactory results. Based on the results plans for further study of the problem were proposed. © 2020 American Institute of Physics Inc.. All rights reserved.

Author keywords

Learning curveLearning efficiencyLearning foreign languagesLexSite dictionaryVocabulary
  • ISSN: 0094243X
  • ISBN: 978-073544025-8
  • Source Type: Conference Proceeding
  • Original language: English
  • DOI: 10.1063/5.0027266
  • Document Type: Conference Paper
  • Volume Editors: Simos T.E.,Simos T.E.,Simos T.E.,Simos T.E.,Simos T.E.,Tsitouras C.
  • Publisher: American Institute of Physics Inc.

  Medvedeva, M.A.; Ural Federal University, Mira 19, Ekaterinburg, Russian Federation;
© Copyright 2020 Elsevier B.V., All rights reserved.

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