Identificación de Estilos de Aprendizaje en Alumnos Universitarios de Computación de la Huasteca Hidalguense mediante Técnicas de Minería de Datos

Content Provider	Semantic Scholar
Author	Cárdenas, Núñez Jesus, Felipe Born De
Copyright Year	2013
Abstract	Careers in Computing or related areas are considered the most difficult in the institutions of higher education, however, a way to achieve better results in the delivery of education in these areas is to identify the learning styles of students with the purpose of implementing teaching strategies according to how they learn. This research focuses on the application of datamining techniques to discover combinations of learning styles shown by students in higher education computing or related areas, in the Huasteca region of Hidalgo. The model used to determine the learning styles is that developed by Neil Fleming and Collen Mills called VARK in which we can determine the learning styles of a student within the four categories that covers this model Visual, Auditory, Reading / writing and Kinesthetic. Since our hypothesis is that the dominant learning style in our students is Kinesthetic. The results indicate that there are dominant learning styles at different levels of the duration of the career.
File Format	PDF HTM / HTML
DOI	10.29057/esh.v1i2.1018
Volume Number	1
Alternate Webpage(s)	https://www.uaeh.edu.mx/investigacion/productos/5566/estilos_de_aprendizaje.pdf
Alternate Webpage(s)	https://doi.org/10.29057/esh.v1i2.1018
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article