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.
|Título de la publicación alojada||Pattern Recognition - 9th Mexican Conference, MCPR 2017, Proceedings|
|Editores||Jesus Ariel Carrasco-Ochoa, Jose Francisco Martinez-Trinidad, Jose Arturo Olvera-Lopez|
|Número de páginas||9|
|ISBN (versión impresa)||9783319592251|
|Estado||Publicada - 1 ene 2017|
|Evento||9th Mexican Conference on Pattern Recognition, MCPR 2017 - Huatulco, México|
Duración: 21 jun 2017 → 24 jun 2017
Serie de la publicación
|Nombre||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|ISSN (versión impresa)||0302-9743|
|ISSN (versión digital)||1611-3349|
|Conferencia||9th Mexican Conference on Pattern Recognition, MCPR 2017|
|Período||21/06/17 → 24/06/17|
Nota bibliográficaPublisher Copyright:
© Springer International Publishing AG 2017.