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Use of Computing Devices as Sensors to Measure Their Impact on Primary and Secondary Students’ Performance
The constant innovation in new technologies and the increase in the use of computing devices in different areas of the society have contributed to a digital transformation in almost every sector. This digital transformation has also reached the world of education, making it possible for members of t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679510/ https://www.ncbi.nlm.nih.gov/pubmed/31336686 http://dx.doi.org/10.3390/s19143226 |
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author | Fernández-Soriano, Francisco Luis López, Belén Martínez-España, Raquel Muñoz, Andrés Cantabella, Magdalena |
author_facet | Fernández-Soriano, Francisco Luis López, Belén Martínez-España, Raquel Muñoz, Andrés Cantabella, Magdalena |
author_sort | Fernández-Soriano, Francisco Luis |
collection | PubMed |
description | The constant innovation in new technologies and the increase in the use of computing devices in different areas of the society have contributed to a digital transformation in almost every sector. This digital transformation has also reached the world of education, making it possible for members of the educational community to adopt Learning Management Systems (LMS), where the digital contents replacing the traditional textbooks are exploited and managed. This article aims to study the relationship between the type of computing device from which students access the LMS and how affects their performance. To achieve this, the LMS accesses of students in a school comprising from elementary to bachelor’s degree stages have been monitored by means of different computing devices acting as sensors to gather data such as the type of device and operating system used by the students.The main conclusion is that students who access the LMS improve significantly their performance and that the type of device and the operating system has an influence in the number of passed subjects. Moreover, a predictive model has been generated to predict the number of passed subjects according to these factors, showing promising results. |
format | Online Article Text |
id | pubmed-6679510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66795102019-08-19 Use of Computing Devices as Sensors to Measure Their Impact on Primary and Secondary Students’ Performance Fernández-Soriano, Francisco Luis López, Belén Martínez-España, Raquel Muñoz, Andrés Cantabella, Magdalena Sensors (Basel) Article The constant innovation in new technologies and the increase in the use of computing devices in different areas of the society have contributed to a digital transformation in almost every sector. This digital transformation has also reached the world of education, making it possible for members of the educational community to adopt Learning Management Systems (LMS), where the digital contents replacing the traditional textbooks are exploited and managed. This article aims to study the relationship between the type of computing device from which students access the LMS and how affects their performance. To achieve this, the LMS accesses of students in a school comprising from elementary to bachelor’s degree stages have been monitored by means of different computing devices acting as sensors to gather data such as the type of device and operating system used by the students.The main conclusion is that students who access the LMS improve significantly their performance and that the type of device and the operating system has an influence in the number of passed subjects. Moreover, a predictive model has been generated to predict the number of passed subjects according to these factors, showing promising results. MDPI 2019-07-22 /pmc/articles/PMC6679510/ /pubmed/31336686 http://dx.doi.org/10.3390/s19143226 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Fernández-Soriano, Francisco Luis López, Belén Martínez-España, Raquel Muñoz, Andrés Cantabella, Magdalena Use of Computing Devices as Sensors to Measure Their Impact on Primary and Secondary Students’ Performance |
title | Use of Computing Devices as Sensors to Measure Their Impact on Primary and Secondary Students’ Performance |
title_full | Use of Computing Devices as Sensors to Measure Their Impact on Primary and Secondary Students’ Performance |
title_fullStr | Use of Computing Devices as Sensors to Measure Their Impact on Primary and Secondary Students’ Performance |
title_full_unstemmed | Use of Computing Devices as Sensors to Measure Their Impact on Primary and Secondary Students’ Performance |
title_short | Use of Computing Devices as Sensors to Measure Their Impact on Primary and Secondary Students’ Performance |
title_sort | use of computing devices as sensors to measure their impact on primary and secondary students’ performance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679510/ https://www.ncbi.nlm.nih.gov/pubmed/31336686 http://dx.doi.org/10.3390/s19143226 |
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