Language proficiency classification during computer-based test with EEG pattern recognition methods

Federico Cirett-Galán*, Raquel Torres-Peralta, Carole R. Beal

*Corresponding author for this work

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


The answering of any test represents a challenge for students; however, foreign students whose first language is not English have to deal with the difficulty of the understanding of a series of questions written on a different language in addition of the effort required to solve the problem. In this study, we recorded the behavior of the brain signals of 16 students, 10 whom first language was English and 6 who were English learners, and used two supervised classification algorithms in order to identify the students’ language proficiency. The results shown that in both approaches, harder problems which required longer time to be responded had a higher accuracy rate; however, more tests are needed in order to understand the physical processing of written math text problem and the difference among both groups.

Original languageEnglish
Title of host publicationPattern Recognition - 9th Mexican Conference, MCPR 2017, Proceedings
EditorsJesus Ariel Carrasco-Ochoa, Jose Francisco Martinez-Trinidad, Jose Arturo Olvera-Lopez
PublisherSpringer Verlag
Number of pages9
ISBN (Print)9783319592251
StatePublished - 1 Jan 2017
Event9th Mexican Conference on Pattern Recognition, MCPR 2017 - Huatulco, Mexico
Duration: 21 Jun 201724 Jun 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10267 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference9th Mexican Conference on Pattern Recognition, MCPR 2017

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2017.


  • Behavior
  • Data mining
  • Electroencephalography
  • Intelligent tutoring systems
  • Machine learning
  • Pattern recognition
  • Physiology


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