Determinants of digital inequality in universities: The case of ecuador

The digital divide was initially defined by socioeconomic variables, mainly the level of family income, but now it focuses on how the Internet is used and is called digital inequality. In the case of universities, recent studies have pointed to the existence of patterns that are dependent on a varie...

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Tác giả chính: Duart, J. (author)
Tác giả khác: Torres Diaz, J. (author)
Định dạng: article
Được phát hành: 2015
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Truy cập trực tuyến:http://dspace.utpl.edu.ec/handle/123456789/18966
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author Duart, J.
author2 Torres Diaz, J.
author2_role author
author_facet Duart, J.
Torres Diaz, J.
author_role author
collection Repositorio Universidad Técnica Particular de Loja
dc.creator.none.fl_str_mv Duart, J.
Torres Diaz, J.
dc.date.none.fl_str_mv 2015-09-01
2017-06-16T22:02:42Z
2017-06-16T22:02:42Z
dc.identifier.none.fl_str_mv 18266223
http://dspace.utpl.edu.ec/handle/123456789/18966
dc.language.none.fl_str_mv Español
dc.publisher.none.fl_str_mv Journal of E-Learning and Knowledge Society
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:Repositorio Universidad Técnica Particular de Loja
instname:Universidad Técnica Particular de Loja
instacron:UTPL
dc.subject.none.fl_str_mv Digital divide
Higher education
Income
Internet use
Learning
dc.title.none.fl_str_mv Determinants of digital inequality in universities: The case of ecuador
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description The digital divide was initially defined by socioeconomic variables, mainly the level of family income, but now it focuses on how the Internet is used and is called digital inequality. In the case of universities, recent studies have pointed to the existence of patterns that are dependent on a variety of socioeconomic variables. This article analyses the effect that the level of family income, gender and age of students from five Ecuadorian universities has on Internet use for academic activities and entertainment purposes. In the procedure applied to a sample of 4,697 students, factor analysis was used to reduce the data, and multivariate logistic regression was used to estimate the relationships. The results show that the higher the level of family income, the better the technology use for academic activities. Regarding entertainment, the level of income does not determine the intensity of technology use, though it does determine the types of tool that students use. With reference to gender, men have a greater tendency to use technology for entertainment, but there is no difference between genders when it comes to academic uses
eu_rights_str_mv openAccess
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identifier_str_mv 18266223
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instname_str Universidad Técnica Particular de Loja
language_invalid_str_mv Español
network_acronym_str UTPL
network_name_str Repositorio Universidad Técnica Particular de Loja
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publishDate 2015
publisher.none.fl_str_mv Journal of E-Learning and Knowledge Society
reponame_str Repositorio Universidad Técnica Particular de Loja
repository.mail.fl_str_mv .
repository.name.fl_str_mv Repositorio Universidad Técnica Particular de Loja - Universidad Técnica Particular de Loja
repository_id_str 1227
spelling Determinants of digital inequality in universities: The case of ecuadorDuart, J.Torres Diaz, J.Digital divideHigher educationIncomeInternet useLearningThe digital divide was initially defined by socioeconomic variables, mainly the level of family income, but now it focuses on how the Internet is used and is called digital inequality. In the case of universities, recent studies have pointed to the existence of patterns that are dependent on a variety of socioeconomic variables. This article analyses the effect that the level of family income, gender and age of students from five Ecuadorian universities has on Internet use for academic activities and entertainment purposes. In the procedure applied to a sample of 4,697 students, factor analysis was used to reduce the data, and multivariate logistic regression was used to estimate the relationships. The results show that the higher the level of family income, the better the technology use for academic activities. Regarding entertainment, the level of income does not determine the intensity of technology use, though it does determine the types of tool that students use. With reference to gender, men have a greater tendency to use technology for entertainment, but there is no difference between genders when it comes to academic usesJournal of E-Learning and Knowledge Society2017-06-16T22:02:42Z2017-06-16T22:02:42Z2015-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article18266223http://dspace.utpl.edu.ec/handle/123456789/18966Españolinfo:eu-repo/semantics/openAccessreponame:Repositorio Universidad Técnica Particular de Lojainstname:Universidad Técnica Particular de Lojainstacron:UTPL2017-06-16T22:02:42Zoai:dspace.utpl.edu.ec:123456789/18966Institucionalhttps://dspace.utpl.edu.ec/Institución privadahttps://www.utpl.edu.ec/https://dspace.utpl.edu.ec/oai.Ecuador...opendoar:12272017-06-16T22:02:42Repositorio Universidad Técnica Particular de Loja - Universidad Técnica Particular de Lojafalse
spellingShingle Determinants of digital inequality in universities: The case of ecuador
Duart, J.
Digital divide
Higher education
Income
Internet use
Learning
status_str publishedVersion
title Determinants of digital inequality in universities: The case of ecuador
title_full Determinants of digital inequality in universities: The case of ecuador
title_fullStr Determinants of digital inequality in universities: The case of ecuador
title_full_unstemmed Determinants of digital inequality in universities: The case of ecuador
title_short Determinants of digital inequality in universities: The case of ecuador
title_sort Determinants of digital inequality in universities: The case of ecuador
topic Digital divide
Higher education
Income
Internet use
Learning
url http://dspace.utpl.edu.ec/handle/123456789/18966