Undefined socio-affective scenarios in a virtual learning environment a view from learning analytics
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/259142 |
Resumo: | There is a growing number of virtual courses being offered by Brazilian educational institutions, requiring the development of technological resources and research to assist in the teaching and learning processes in Distance Education (DE). The analysis of the students’ socio-affective profiles in Virtual Learning Environments (VLE) enables possibilities to develop methodologies and/or resources to better understand them. The Social Map (SM) and Affective Map (AM), both features of the Cooperative Learning Network (ROODA in Portuguese), provide inferences and graphic presentations of students’ socioaffective profiles. Thus, this article aims to identify students with Undefined Socio-affective Scenarios in a VLE, based on Learning Analytics (LA). LA is defined as the measurement, collection, and analysis of data. This qualitative and quantitative research approach was carried out based on 10 case studies. The target audience was divided between 77 undergraduate students, 29 graduate students, 27 elderly people, and 86 professors who participated in teaching activities at a Brazilian public university. Data collected from the SM and AM were extracted in order to identify the relationship between these two aspects. The result was 18 Socio-affective Scenarios using LA and the identification of 108 Pedagogical Strategies to contribute to the analysis of students’ learning profiles. |
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Akazaki, Jacqueline MayumiMachado, Letícia Sophia RochaBarvinski, Carla AdrianaTorrezzan, Cristina Alba WildtBehar, Patrícia Alejandra2023-06-17T03:38:06Z20231867-5565http://hdl.handle.net/10183/259142001168155There is a growing number of virtual courses being offered by Brazilian educational institutions, requiring the development of technological resources and research to assist in the teaching and learning processes in Distance Education (DE). The analysis of the students’ socio-affective profiles in Virtual Learning Environments (VLE) enables possibilities to develop methodologies and/or resources to better understand them. The Social Map (SM) and Affective Map (AM), both features of the Cooperative Learning Network (ROODA in Portuguese), provide inferences and graphic presentations of students’ socioaffective profiles. Thus, this article aims to identify students with Undefined Socio-affective Scenarios in a VLE, based on Learning Analytics (LA). LA is defined as the measurement, collection, and analysis of data. This qualitative and quantitative research approach was carried out based on 10 case studies. The target audience was divided between 77 undergraduate students, 29 graduate students, 27 elderly people, and 86 professors who participated in teaching activities at a Brazilian public university. Data collected from the SM and AM were extracted in order to identify the relationship between these two aspects. The result was 18 Socio-affective Scenarios using LA and the identification of 108 Pedagogical Strategies to contribute to the analysis of students’ learning profiles.application/pdfengInternational Journal of Advanced Corporate Learning. Austria. Vol. 16, n.2 (2023), p. 1-14Ensino a distânciaLearning analyticsSocio-affective scenariosVirtual learning environmentsUndefined socio-affective scenarios in a virtual learning environment a view from learning analyticsEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001168155.pdf.txt001168155.pdf.txtExtracted Texttext/plain42710http://www.lume.ufrgs.br/bitstream/10183/259142/2/001168155.pdf.txt93ea62b1e38839edbef4f848f7c49bb7MD52ORIGINAL001168155.pdfTexto completo (inglês)application/pdf762983http://www.lume.ufrgs.br/bitstream/10183/259142/1/001168155.pdf35077380da6c51852b1afcb4e42993a0MD5110183/2591422024-01-27 06:02:02.470342oai:www.lume.ufrgs.br:10183/259142Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2024-01-27T08:02:02Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Undefined socio-affective scenarios in a virtual learning environment a view from learning analytics |
title |
Undefined socio-affective scenarios in a virtual learning environment a view from learning analytics |
spellingShingle |
Undefined socio-affective scenarios in a virtual learning environment a view from learning analytics Akazaki, Jacqueline Mayumi Ensino a distância Learning analytics Socio-affective scenarios Virtual learning environments |
title_short |
Undefined socio-affective scenarios in a virtual learning environment a view from learning analytics |
title_full |
Undefined socio-affective scenarios in a virtual learning environment a view from learning analytics |
title_fullStr |
Undefined socio-affective scenarios in a virtual learning environment a view from learning analytics |
title_full_unstemmed |
Undefined socio-affective scenarios in a virtual learning environment a view from learning analytics |
title_sort |
Undefined socio-affective scenarios in a virtual learning environment a view from learning analytics |
author |
Akazaki, Jacqueline Mayumi |
author_facet |
Akazaki, Jacqueline Mayumi Machado, Letícia Sophia Rocha Barvinski, Carla Adriana Torrezzan, Cristina Alba Wildt Behar, Patrícia Alejandra |
author_role |
author |
author2 |
Machado, Letícia Sophia Rocha Barvinski, Carla Adriana Torrezzan, Cristina Alba Wildt Behar, Patrícia Alejandra |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Akazaki, Jacqueline Mayumi Machado, Letícia Sophia Rocha Barvinski, Carla Adriana Torrezzan, Cristina Alba Wildt Behar, Patrícia Alejandra |
dc.subject.por.fl_str_mv |
Ensino a distância |
topic |
Ensino a distância Learning analytics Socio-affective scenarios Virtual learning environments |
dc.subject.eng.fl_str_mv |
Learning analytics Socio-affective scenarios Virtual learning environments |
description |
There is a growing number of virtual courses being offered by Brazilian educational institutions, requiring the development of technological resources and research to assist in the teaching and learning processes in Distance Education (DE). The analysis of the students’ socio-affective profiles in Virtual Learning Environments (VLE) enables possibilities to develop methodologies and/or resources to better understand them. The Social Map (SM) and Affective Map (AM), both features of the Cooperative Learning Network (ROODA in Portuguese), provide inferences and graphic presentations of students’ socioaffective profiles. Thus, this article aims to identify students with Undefined Socio-affective Scenarios in a VLE, based on Learning Analytics (LA). LA is defined as the measurement, collection, and analysis of data. This qualitative and quantitative research approach was carried out based on 10 case studies. The target audience was divided between 77 undergraduate students, 29 graduate students, 27 elderly people, and 86 professors who participated in teaching activities at a Brazilian public university. Data collected from the SM and AM were extracted in order to identify the relationship between these two aspects. The result was 18 Socio-affective Scenarios using LA and the identification of 108 Pedagogical Strategies to contribute to the analysis of students’ learning profiles. |
publishDate |
2023 |
dc.date.accessioned.fl_str_mv |
2023-06-17T03:38:06Z |
dc.date.issued.fl_str_mv |
2023 |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/259142 |
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1867-5565 |
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001168155 |
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http://hdl.handle.net/10183/259142 |
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eng |
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eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
International Journal of Advanced Corporate Learning. Austria. Vol. 16, n.2 (2023), p. 1-14 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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