Learning Style Preferences of College Students Using Big Data | Zendy

Amelec Viloria | Zendy; Ingrid González | Zendy; Omar Bonerge Píneda Lezama | Zendy

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Learning Style Preferences of College Students Using Big Data

Author(s) -

Amelec Viloria,

Ingrid González,

Omar Bonerge Píneda Lezama

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.11.064

Subject(s) - computer science , learning styles , style (visual arts) , quality (philosophy) , process (computing) , mathematics education , field (mathematics) , cognitive style , psychology , cognition , philosophy , mathematics , archaeology , epistemology , pure mathematics , history , operating system , neuroscience

Learning styles is one of the most studied topics in the field of education and the research results have generated relevant changes in the teaching-learning process. Currently, there are several theoretical models that explain the characterization and development of learning styles from different points of view, some of them share concepts, while others completely differ. The research focuses on the learning styles of higher education students for improving the quality of the educational process at the university. The results allow the recognize the learning style preferences of college students from different careers, and enable teachers to properly guide the learning activities by selecting the best teaching strategies, thus contributing to raise the quality of education. The results are expected to be relevant for further researches.

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