Using GA4 measurements to characterize the use of biostatistics online support documentation
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/36546 |
Resumo: | An Online Support Documentation has been built, since 2019, for a course of Biostatistics at University of Aveiro. It has been done to better support student study by complementing traditional slide presentations and a book of exercises. This course targets more than 180 students from the first year of the degrees of Biology, Geology and Biology, and Marine Sciences. Last year, 28 students, out of 180, replied to an anonymous inquiry and a complementary interview was conducted with 5 chosen students. We could conclude that the development of the online support documentation should continue but improvements are needed (for instance, increasing the level of details in online texts). To get a complementary view on how the Biostatistics online support documentation is used by students, a new approach is carried out. In 2020/2021 academic year we have automatically collected data usage using "Google Analytics 4" (GA4). The website, holding the support documentation, is a tree-like structure with chapters and sections. Each section is a webpage that can be of two types: a "concept" section or an individual "exercise" section. GA4 collects for each webpage: (1) the webpage title; (2) the number of interactions; (3) the mean time spent in all interactions with a webpage. An interaction (also called "User engagement") is issued by GA4 when a user has the webpage in focus for at least one second. Manually, two more columns were added to data: (4) the type of the webpage: concept or exercise; (5) the chapter number (1 to 6). We present statistical insights about how the online support documentation was used in 2022/June when students had two formal tests about Chapters 4 and then Chapters 5 and 6. Briefly, our findings is summarized as follow: (1) as expected by the common sense, usage of webpages increased before assessments; (2) in Chapters 4 and 5, the "number of interactions", obtained for a webpage, and the "mean time spent", obtained for the same webpage, are positively correlated suggesting there are some pages more important in the learning process; (3) Concerning the mean time spent, its distribution is more skewed to the right for exercise webpages than for conceptual webpages. It could mean that the mean time spent on exercise webpages shows high variability because students look more for suggestions on the "how to do it" or to “confirm their solution” to a certain exercise. |
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Using GA4 measurements to characterize the use of biostatistics online support documentationOnline documentation-based learningBiostatisticsGoogle Analytics 4An Online Support Documentation has been built, since 2019, for a course of Biostatistics at University of Aveiro. It has been done to better support student study by complementing traditional slide presentations and a book of exercises. This course targets more than 180 students from the first year of the degrees of Biology, Geology and Biology, and Marine Sciences. Last year, 28 students, out of 180, replied to an anonymous inquiry and a complementary interview was conducted with 5 chosen students. We could conclude that the development of the online support documentation should continue but improvements are needed (for instance, increasing the level of details in online texts). To get a complementary view on how the Biostatistics online support documentation is used by students, a new approach is carried out. In 2020/2021 academic year we have automatically collected data usage using "Google Analytics 4" (GA4). The website, holding the support documentation, is a tree-like structure with chapters and sections. Each section is a webpage that can be of two types: a "concept" section or an individual "exercise" section. GA4 collects for each webpage: (1) the webpage title; (2) the number of interactions; (3) the mean time spent in all interactions with a webpage. An interaction (also called "User engagement") is issued by GA4 when a user has the webpage in focus for at least one second. Manually, two more columns were added to data: (4) the type of the webpage: concept or exercise; (5) the chapter number (1 to 6). We present statistical insights about how the online support documentation was used in 2022/June when students had two formal tests about Chapters 4 and then Chapters 5 and 6. Briefly, our findings is summarized as follow: (1) as expected by the common sense, usage of webpages increased before assessments; (2) in Chapters 4 and 5, the "number of interactions", obtained for a webpage, and the "mean time spent", obtained for the same webpage, are positively correlated suggesting there are some pages more important in the learning process; (3) Concerning the mean time spent, its distribution is more skewed to the right for exercise webpages than for conceptual webpages. It could mean that the mean time spent on exercise webpages shows high variability because students look more for suggestions on the "how to do it" or to “confirm their solution” to a certain exercise.IATED2023-03-10T15:26:44Z2023-03-07T00:00:00Z2023-03-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/36546eng2340-107910.21125/inted.2023Cruz, J.Freitas, A.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:10:30Zoai:ria.ua.pt:10773/36546Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:07:19.811275Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Using GA4 measurements to characterize the use of biostatistics online support documentation |
title |
Using GA4 measurements to characterize the use of biostatistics online support documentation |
spellingShingle |
Using GA4 measurements to characterize the use of biostatistics online support documentation Cruz, J. Online documentation-based learning Biostatistics Google Analytics 4 |
title_short |
Using GA4 measurements to characterize the use of biostatistics online support documentation |
title_full |
Using GA4 measurements to characterize the use of biostatistics online support documentation |
title_fullStr |
Using GA4 measurements to characterize the use of biostatistics online support documentation |
title_full_unstemmed |
Using GA4 measurements to characterize the use of biostatistics online support documentation |
title_sort |
Using GA4 measurements to characterize the use of biostatistics online support documentation |
author |
Cruz, J. |
author_facet |
Cruz, J. Freitas, A. |
author_role |
author |
author2 |
Freitas, A. |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Cruz, J. Freitas, A. |
dc.subject.por.fl_str_mv |
Online documentation-based learning Biostatistics Google Analytics 4 |
topic |
Online documentation-based learning Biostatistics Google Analytics 4 |
description |
An Online Support Documentation has been built, since 2019, for a course of Biostatistics at University of Aveiro. It has been done to better support student study by complementing traditional slide presentations and a book of exercises. This course targets more than 180 students from the first year of the degrees of Biology, Geology and Biology, and Marine Sciences. Last year, 28 students, out of 180, replied to an anonymous inquiry and a complementary interview was conducted with 5 chosen students. We could conclude that the development of the online support documentation should continue but improvements are needed (for instance, increasing the level of details in online texts). To get a complementary view on how the Biostatistics online support documentation is used by students, a new approach is carried out. In 2020/2021 academic year we have automatically collected data usage using "Google Analytics 4" (GA4). The website, holding the support documentation, is a tree-like structure with chapters and sections. Each section is a webpage that can be of two types: a "concept" section or an individual "exercise" section. GA4 collects for each webpage: (1) the webpage title; (2) the number of interactions; (3) the mean time spent in all interactions with a webpage. An interaction (also called "User engagement") is issued by GA4 when a user has the webpage in focus for at least one second. Manually, two more columns were added to data: (4) the type of the webpage: concept or exercise; (5) the chapter number (1 to 6). We present statistical insights about how the online support documentation was used in 2022/June when students had two formal tests about Chapters 4 and then Chapters 5 and 6. Briefly, our findings is summarized as follow: (1) as expected by the common sense, usage of webpages increased before assessments; (2) in Chapters 4 and 5, the "number of interactions", obtained for a webpage, and the "mean time spent", obtained for the same webpage, are positively correlated suggesting there are some pages more important in the learning process; (3) Concerning the mean time spent, its distribution is more skewed to the right for exercise webpages than for conceptual webpages. It could mean that the mean time spent on exercise webpages shows high variability because students look more for suggestions on the "how to do it" or to “confirm their solution” to a certain exercise. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-03-10T15:26:44Z 2023-03-07T00:00:00Z 2023-03-07 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/36546 |
url |
http://hdl.handle.net/10773/36546 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2340-1079 10.21125/inted.2023 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
IATED |
publisher.none.fl_str_mv |
IATED |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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