Differentiating the learning styles of college students in different disciplines in a college English blended learning setting.

Learning styles are critical to educational psychology, especially when investigating various contextual factors that interact with individual learning styles. Drawing upon Biglan's taxonomy of academic tribes, this study systematically analyzed the learning styles of 790 sophomores in a blende...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Jie Hu, Yi Peng, Xueliang Chen, Hangyan Yu
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/e9af4009b8cc4fe79f053228f0e6342f
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:e9af4009b8cc4fe79f053228f0e6342f
record_format dspace
spelling oai:doaj.org-article:e9af4009b8cc4fe79f053228f0e6342f2021-11-25T06:23:45ZDifferentiating the learning styles of college students in different disciplines in a college English blended learning setting.1932-620310.1371/journal.pone.0251545https://doaj.org/article/e9af4009b8cc4fe79f053228f0e6342f2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0251545https://doaj.org/toc/1932-6203Learning styles are critical to educational psychology, especially when investigating various contextual factors that interact with individual learning styles. Drawing upon Biglan's taxonomy of academic tribes, this study systematically analyzed the learning styles of 790 sophomores in a blended learning course with 46 specializations using a novel machine learning algorithm called the support vector machine (SVM). Moreover, an SVM-based recursive feature elimination (SVM-RFE) technique was integrated to identify the differential features among distinct disciplines. The findings of this study shed light on the optimal feature sets that collectively determined students' discipline-specific learning styles in a college blended learning setting.Jie HuYi PengXueliang ChenHangyan YuPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 5, p e0251545 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Jie Hu
Yi Peng
Xueliang Chen
Hangyan Yu
Differentiating the learning styles of college students in different disciplines in a college English blended learning setting.
description Learning styles are critical to educational psychology, especially when investigating various contextual factors that interact with individual learning styles. Drawing upon Biglan's taxonomy of academic tribes, this study systematically analyzed the learning styles of 790 sophomores in a blended learning course with 46 specializations using a novel machine learning algorithm called the support vector machine (SVM). Moreover, an SVM-based recursive feature elimination (SVM-RFE) technique was integrated to identify the differential features among distinct disciplines. The findings of this study shed light on the optimal feature sets that collectively determined students' discipline-specific learning styles in a college blended learning setting.
format article
author Jie Hu
Yi Peng
Xueliang Chen
Hangyan Yu
author_facet Jie Hu
Yi Peng
Xueliang Chen
Hangyan Yu
author_sort Jie Hu
title Differentiating the learning styles of college students in different disciplines in a college English blended learning setting.
title_short Differentiating the learning styles of college students in different disciplines in a college English blended learning setting.
title_full Differentiating the learning styles of college students in different disciplines in a college English blended learning setting.
title_fullStr Differentiating the learning styles of college students in different disciplines in a college English blended learning setting.
title_full_unstemmed Differentiating the learning styles of college students in different disciplines in a college English blended learning setting.
title_sort differentiating the learning styles of college students in different disciplines in a college english blended learning setting.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/e9af4009b8cc4fe79f053228f0e6342f
work_keys_str_mv AT jiehu differentiatingthelearningstylesofcollegestudentsindifferentdisciplinesinacollegeenglishblendedlearningsetting
AT yipeng differentiatingthelearningstylesofcollegestudentsindifferentdisciplinesinacollegeenglishblendedlearningsetting
AT xueliangchen differentiatingthelearningstylesofcollegestudentsindifferentdisciplinesinacollegeenglishblendedlearningsetting
AT hangyanyu differentiatingthelearningstylesofcollegestudentsindifferentdisciplinesinacollegeenglishblendedlearningsetting
_version_ 1718413776610394112