A Literature Review on Intelligent Services Applied to Distance Learning

Distance learning has assumed a relevant role in the educational scenario. The use of Virtual Learning Environments contributes to obtaining a substantial amount of educational data. In this sense, the analyzed data generate knowledge used by institutions to assist managers and professors in strateg...

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Autores principales: Lidia Martins da Silva, Lucas Pfeiffer Salomão Dias, Sandro Rigo, Jorge Luis Victória Barbosa, Daiana R. F. Leithardt, Valderi Reis Quietinho Leithardt
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/0f08c51671ef4983a47c48225f7e7d64
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spelling oai:doaj.org-article:0f08c51671ef4983a47c48225f7e7d642021-11-25T17:23:11ZA Literature Review on Intelligent Services Applied to Distance Learning10.3390/educsci111106662227-7102https://doaj.org/article/0f08c51671ef4983a47c48225f7e7d642021-10-01T00:00:00Zhttps://www.mdpi.com/2227-7102/11/11/666https://doaj.org/toc/2227-7102Distance learning has assumed a relevant role in the educational scenario. The use of Virtual Learning Environments contributes to obtaining a substantial amount of educational data. In this sense, the analyzed data generate knowledge used by institutions to assist managers and professors in strategic planning and teaching. The discovery of students’ behaviors enables a wide variety of intelligent services for assisting in the learning process. This article presents a literature review in order to identify the intelligent services applied in distance learning. The research covers the period from January 2010 to May 2021. The initial search found 1316 articles, among which 51 were selected for further studies. Considering the selected articles, 33% (17/51) focus on learning systems, 35% (18/51) propose recommendation systems, 26% (13/51) approach predictive systems or models, and 6% (3/51) use assessment tools. This review allowed for the observation that the principal services offered are recommendation systems and learning systems. In these services, the analysis of student profiles stands out to identify patterns of behavior, detect low performance, and identify probabilities of dropouts from courses.Lidia Martins da SilvaLucas Pfeiffer Salomão DiasSandro RigoJorge Luis Victória BarbosaDaiana R. F. LeithardtValderi Reis Quietinho LeithardtMDPI AGarticledistance learningintelligent servicesliterature reviewvirtual learning environmentsEducationLENEducation Sciences, Vol 11, Iss 666, p 666 (2021)
institution DOAJ
collection DOAJ
language EN
topic distance learning
intelligent services
literature review
virtual learning environments
Education
L
spellingShingle distance learning
intelligent services
literature review
virtual learning environments
Education
L
Lidia Martins da Silva
Lucas Pfeiffer Salomão Dias
Sandro Rigo
Jorge Luis Victória Barbosa
Daiana R. F. Leithardt
Valderi Reis Quietinho Leithardt
A Literature Review on Intelligent Services Applied to Distance Learning
description Distance learning has assumed a relevant role in the educational scenario. The use of Virtual Learning Environments contributes to obtaining a substantial amount of educational data. In this sense, the analyzed data generate knowledge used by institutions to assist managers and professors in strategic planning and teaching. The discovery of students’ behaviors enables a wide variety of intelligent services for assisting in the learning process. This article presents a literature review in order to identify the intelligent services applied in distance learning. The research covers the period from January 2010 to May 2021. The initial search found 1316 articles, among which 51 were selected for further studies. Considering the selected articles, 33% (17/51) focus on learning systems, 35% (18/51) propose recommendation systems, 26% (13/51) approach predictive systems or models, and 6% (3/51) use assessment tools. This review allowed for the observation that the principal services offered are recommendation systems and learning systems. In these services, the analysis of student profiles stands out to identify patterns of behavior, detect low performance, and identify probabilities of dropouts from courses.
format article
author Lidia Martins da Silva
Lucas Pfeiffer Salomão Dias
Sandro Rigo
Jorge Luis Victória Barbosa
Daiana R. F. Leithardt
Valderi Reis Quietinho Leithardt
author_facet Lidia Martins da Silva
Lucas Pfeiffer Salomão Dias
Sandro Rigo
Jorge Luis Victória Barbosa
Daiana R. F. Leithardt
Valderi Reis Quietinho Leithardt
author_sort Lidia Martins da Silva
title A Literature Review on Intelligent Services Applied to Distance Learning
title_short A Literature Review on Intelligent Services Applied to Distance Learning
title_full A Literature Review on Intelligent Services Applied to Distance Learning
title_fullStr A Literature Review on Intelligent Services Applied to Distance Learning
title_full_unstemmed A Literature Review on Intelligent Services Applied to Distance Learning
title_sort literature review on intelligent services applied to distance learning
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/0f08c51671ef4983a47c48225f7e7d64
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