Cargando…

Pedagogical monitoring as a tool to reduce dropout in distance learning in family health

BACKGROUND: This paper presents the results of a study of the Monsys monitoring system, an educational support tool designed to prevent and control the dropout rate in a distance learning course in family health. Developed by UNA-SUS/UFMA, Monsys was created to enable data mining in the virtual lear...

Descripción completa

Detalles Bibliográficos
Autores principales: de Castro e Lima Baesse, Deborah, Grisolia, Alexandra Monteiro, de Oliveira, Ana Emilia Figueiredo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4994247/
https://www.ncbi.nlm.nih.gov/pubmed/27549158
http://dx.doi.org/10.1186/s12909-016-0735-9
_version_ 1782449288987541504
author de Castro e Lima Baesse, Deborah
Grisolia, Alexandra Monteiro
de Oliveira, Ana Emilia Figueiredo
author_facet de Castro e Lima Baesse, Deborah
Grisolia, Alexandra Monteiro
de Oliveira, Ana Emilia Figueiredo
author_sort de Castro e Lima Baesse, Deborah
collection PubMed
description BACKGROUND: This paper presents the results of a study of the Monsys monitoring system, an educational support tool designed to prevent and control the dropout rate in a distance learning course in family health. Developed by UNA-SUS/UFMA, Monsys was created to enable data mining in the virtual learning environment known as Moodle. METHODS: This is an exploratory study using documentary and bibliographic research and analysis of the Monsys database. Two classes (2010 and 2011) were selected as research subjects, one with Monsys intervention and the other without. The samples were matched (using a ration of 1:1) by gender, age, marital status, graduation year, previous graduation status, location and profession. Statistical analysis was performed using the chi-square test and a multivariate logistic regression model with a 5 % significance level. RESULTS: The findings show that the dropout rate in the class in which Monsys was not employed (2010) was 43.2 %. However, the dropout rate in the class of 2011, in which the tool was employed as a pedagogical team aid, was 30.6 %. After statistical adjustment, the Monsys monitoring system remained in correlation with the course completion variable (adjusted OR = 1.74, IC95% = 1.17–2.59; p = 0.005), suggesting that the use of the Monsys tool, isolated to the adjusted variables, can enhance the likelihood that students will complete the course. Using the chi-square test, a profile analysis of students revealed a higher completion rate among women (67.7 %) than men (52.2 %). Analysis of age demonstrated that students between 40 and 49 years dropped out the least (32.1 %) and, with regard to professional training, nurses have the lowest dropout rates (36.3 %). CONCLUSIONS: The use of Monsys significantly reduced the dropout, with results showing greater association between the variables denoting presence of the monitoring system and female gender.
format Online
Article
Text
id pubmed-4994247
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-49942472016-08-24 Pedagogical monitoring as a tool to reduce dropout in distance learning in family health de Castro e Lima Baesse, Deborah Grisolia, Alexandra Monteiro de Oliveira, Ana Emilia Figueiredo BMC Med Educ Research Article BACKGROUND: This paper presents the results of a study of the Monsys monitoring system, an educational support tool designed to prevent and control the dropout rate in a distance learning course in family health. Developed by UNA-SUS/UFMA, Monsys was created to enable data mining in the virtual learning environment known as Moodle. METHODS: This is an exploratory study using documentary and bibliographic research and analysis of the Monsys database. Two classes (2010 and 2011) were selected as research subjects, one with Monsys intervention and the other without. The samples were matched (using a ration of 1:1) by gender, age, marital status, graduation year, previous graduation status, location and profession. Statistical analysis was performed using the chi-square test and a multivariate logistic regression model with a 5 % significance level. RESULTS: The findings show that the dropout rate in the class in which Monsys was not employed (2010) was 43.2 %. However, the dropout rate in the class of 2011, in which the tool was employed as a pedagogical team aid, was 30.6 %. After statistical adjustment, the Monsys monitoring system remained in correlation with the course completion variable (adjusted OR = 1.74, IC95% = 1.17–2.59; p = 0.005), suggesting that the use of the Monsys tool, isolated to the adjusted variables, can enhance the likelihood that students will complete the course. Using the chi-square test, a profile analysis of students revealed a higher completion rate among women (67.7 %) than men (52.2 %). Analysis of age demonstrated that students between 40 and 49 years dropped out the least (32.1 %) and, with regard to professional training, nurses have the lowest dropout rates (36.3 %). CONCLUSIONS: The use of Monsys significantly reduced the dropout, with results showing greater association between the variables denoting presence of the monitoring system and female gender. BioMed Central 2016-08-22 /pmc/articles/PMC4994247/ /pubmed/27549158 http://dx.doi.org/10.1186/s12909-016-0735-9 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
de Castro e Lima Baesse, Deborah
Grisolia, Alexandra Monteiro
de Oliveira, Ana Emilia Figueiredo
Pedagogical monitoring as a tool to reduce dropout in distance learning in family health
title Pedagogical monitoring as a tool to reduce dropout in distance learning in family health
title_full Pedagogical monitoring as a tool to reduce dropout in distance learning in family health
title_fullStr Pedagogical monitoring as a tool to reduce dropout in distance learning in family health
title_full_unstemmed Pedagogical monitoring as a tool to reduce dropout in distance learning in family health
title_short Pedagogical monitoring as a tool to reduce dropout in distance learning in family health
title_sort pedagogical monitoring as a tool to reduce dropout in distance learning in family health
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4994247/
https://www.ncbi.nlm.nih.gov/pubmed/27549158
http://dx.doi.org/10.1186/s12909-016-0735-9
work_keys_str_mv AT decastroelimabaessedeborah pedagogicalmonitoringasatooltoreducedropoutindistancelearninginfamilyhealth
AT grisoliaalexandramonteiro pedagogicalmonitoringasatooltoreducedropoutindistancelearninginfamilyhealth
AT deoliveiraanaemiliafigueiredo pedagogicalmonitoringasatooltoreducedropoutindistancelearninginfamilyhealth