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Virtual learning environment and its relationship with worker characteristics and occupational accident rates

INTRODUCTION: Information and Communication Technologies (ICT) have been employed widely in Occupational Health and Safety Management Systems training programs. However, it is necessary to investigate the influence and workers characteristics to ensure effectiveness. The study presents the relations...

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Autores principales: Hernández, Wilder Alfonso Duarte, Gómez, LydaCamila Gómez
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800445/
https://www.ncbi.nlm.nih.gov/pubmed/36589935
http://dx.doi.org/10.3389/fpubh.2022.1006918
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author Hernández, Wilder Alfonso Duarte
Gómez, LydaCamila Gómez
author_facet Hernández, Wilder Alfonso Duarte
Gómez, LydaCamila Gómez
author_sort Hernández, Wilder Alfonso Duarte
collection PubMed
description INTRODUCTION: Information and Communication Technologies (ICT) have been employed widely in Occupational Health and Safety Management Systems training programs. However, it is necessary to investigate the influence and workers characteristics to ensure effectiveness. The study presents the relationship between demographic characterization and learning styles with the satisfaction and approval of a training course for teachers through virtual modality and the incidence in accident indicators of an educational institution. METHODS: Analytical and longitudinal study. In 2019, 385 teachers participated in a virtual course on falls prevention. Learning styles were surveyed and records of teachers' entrance and approval of the course were consolidated. The evaluation of the course by teachers was reviewed and the behavior of accident frequency and severity indicators were analyzed comparing 2018 and 2019. To determine significant relationships, Cramer's V was applied for learning styles and demographic characteristics with access and course approval. ANOVA was applied for the demographic variables and the evaluation given by teachers to the course. T-test was used to compare the average values of the indicators for the period 2018–2019. RESULTS AND DISCUSSION: Statistical relationships were found between the predominant learning style and access (P < 0.01) and approval (P < 0.01). Educational level of the population with access (P < 0.05) and course approval (P < 0.01). In addition to the age range and the rating given to the methodology applied in the course (P < 0.05). No differences were found between the values of the indicators. By identifying significant relationships between learning styles and demographic characteristics of the working population and the use of virtual learning environments, it is important to continue researching the influence of workers' characteristics and didactic methodologies for the design of virtual learning environments that encourage workers to follow safe procedures during their work.
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spelling pubmed-98004452022-12-31 Virtual learning environment and its relationship with worker characteristics and occupational accident rates Hernández, Wilder Alfonso Duarte Gómez, LydaCamila Gómez Front Public Health Public Health INTRODUCTION: Information and Communication Technologies (ICT) have been employed widely in Occupational Health and Safety Management Systems training programs. However, it is necessary to investigate the influence and workers characteristics to ensure effectiveness. The study presents the relationship between demographic characterization and learning styles with the satisfaction and approval of a training course for teachers through virtual modality and the incidence in accident indicators of an educational institution. METHODS: Analytical and longitudinal study. In 2019, 385 teachers participated in a virtual course on falls prevention. Learning styles were surveyed and records of teachers' entrance and approval of the course were consolidated. The evaluation of the course by teachers was reviewed and the behavior of accident frequency and severity indicators were analyzed comparing 2018 and 2019. To determine significant relationships, Cramer's V was applied for learning styles and demographic characteristics with access and course approval. ANOVA was applied for the demographic variables and the evaluation given by teachers to the course. T-test was used to compare the average values of the indicators for the period 2018–2019. RESULTS AND DISCUSSION: Statistical relationships were found between the predominant learning style and access (P < 0.01) and approval (P < 0.01). Educational level of the population with access (P < 0.05) and course approval (P < 0.01). In addition to the age range and the rating given to the methodology applied in the course (P < 0.05). No differences were found between the values of the indicators. By identifying significant relationships between learning styles and demographic characteristics of the working population and the use of virtual learning environments, it is important to continue researching the influence of workers' characteristics and didactic methodologies for the design of virtual learning environments that encourage workers to follow safe procedures during their work. Frontiers Media S.A. 2022-12-16 /pmc/articles/PMC9800445/ /pubmed/36589935 http://dx.doi.org/10.3389/fpubh.2022.1006918 Text en Copyright © 2022 Hernández and Gómez. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Hernández, Wilder Alfonso Duarte
Gómez, LydaCamila Gómez
Virtual learning environment and its relationship with worker characteristics and occupational accident rates
title Virtual learning environment and its relationship with worker characteristics and occupational accident rates
title_full Virtual learning environment and its relationship with worker characteristics and occupational accident rates
title_fullStr Virtual learning environment and its relationship with worker characteristics and occupational accident rates
title_full_unstemmed Virtual learning environment and its relationship with worker characteristics and occupational accident rates
title_short Virtual learning environment and its relationship with worker characteristics and occupational accident rates
title_sort virtual learning environment and its relationship with worker characteristics and occupational accident rates
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800445/
https://www.ncbi.nlm.nih.gov/pubmed/36589935
http://dx.doi.org/10.3389/fpubh.2022.1006918
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