M-Learning applied to the improvement of the learning of university engineering students
Descripción del Articulo
This paper is intended to determine the extent to which the M-learning model with methodological strategies improves the learning of student’s undergraduates of the Systems Engineering career. The method used was developed through a study of quasi-experimental type and conformed by an experimental g...
| Autores: | , , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2020 |
| Institución: | Universidad Autónoma del Perú |
| Repositorio: | AUTONOMA-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorio.autonoma.edu.pe:20.500.13067/1726 |
| Enlace del recurso: | https://hdl.handle.net/20.500.13067/1726 https://doi.org/10.1109/ICACIT46824.2019.9130215 |
| Nivel de acceso: | acceso restringido |
| Materia: | Educational courses Educational institutions Engineering education Learning management systems Mobile learning https://purl.org/pe-repo/ocde/ford#2.02.04 |
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Petrlik Azabache, IvánRodriguez Rodriguez, CiroLezama Gonzales, Pedro2022-03-04T14:10:11Z2022-03-04T14:10:11Z2020-07-01978-1-7281-3567-0https://hdl.handle.net/20.500.13067/17262019 International Symposium on Engineering Accreditation and Education (ICACIT)https://doi.org/10.1109/ICACIT46824.2019.9130215This paper is intended to determine the extent to which the M-learning model with methodological strategies improves the learning of student’s undergraduates of the Systems Engineering career. The method used was developed through a study of quasi-experimental type and conformed by an experimental group composed of 25 students of section B and a control group by 25 students of section A of the subject of Software Design Patterns. of the Autonomous University of Peru. To obtain the results of the inferential analysis, the Student T test and the Mann Whitney U test were used. Likewise, a prestest and a posttest were applied to evidence the learning improved, previously tests of validity and reliability were performed in each case, the corresponding calculations were subsequently made for the test of the hypotheses. After applying the M-learning model with methodological strategies, significant differences were observed (p = 0.000 <0.05) in the general, declarative, procedural and attitudinal learning, in the results of the pretest and posttest evaluation, being higher the average of the posttest, with a 95% level of confidence. With the results obtained, we can conclude that the M-learning model with methodological strategies significantly improves the learning of university students of the Systems Engineering career of the Autonomous University of Perú in the subject of Software Design Patterns.application/pdfengInstitute of Electrical and Electronics EngineersPEinfo:eu-repo/semantics/restrictedAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/AUTONOMA17reponame:AUTONOMA-Institucionalinstname:Universidad Autónoma del Perúinstacron:AUTONOMAEducational coursesEducational institutionsEngineering educationLearning management systemsMobile learninghttps://purl.org/pe-repo/ocde/ford#2.02.04M-Learning applied to the improvement of the learning of university engineering studentsinfo:eu-repo/semantics/articlehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85091996999&doi=10.1109%2fICACIT46824.2019.9130215&partnerID=40TEXTM-Learning applied to the improvement of the learning of university engineering students.pdf.txtM-Learning applied to the improvement of the learning of university engineering students.pdf.txtExtracted texttext/plain634http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1726/4/M-Learning%20applied%20to%20the%20improvement%20of%20the%20learning%20of%20university%20engineering%20students.pdf.txte8e7aa7b5d6e415ba8fbbf6b6cb7591aMD54THUMBNAILM-Learning applied to the improvement of the learning of university engineering students.pdf.jpgM-Learning applied to the improvement of the learning of university engineering students.pdf.jpgGenerated Thumbnailimage/jpeg5889http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1726/5/M-Learning%20applied%20to%20the%20improvement%20of%20the%20learning%20of%20university%20engineering%20students.pdf.jpg0ff2c911af2425e1d6c3e5dc221e3ee2MD55ORIGINALM-Learning applied to the improvement of the learning of university engineering students.pdfM-Learning applied to the improvement of the learning of university engineering students.pdfVer fuenteapplication/pdf99098http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1726/3/M-Learning%20applied%20to%20the%20improvement%20of%20the%20learning%20of%20university%20engineering%20students.pdf3c122118eb86caee63260fe631c72f03MD53LICENSElicense.txtlicense.txttext/plain; charset=utf-885http://repositorio.autonoma.edu.pe/bitstream/20.500.13067/1726/2/license.txt9243398ff393db1861c890baeaeee5f9MD5220.500.13067/1726oai:repositorio.autonoma.edu.pe:20.500.13067/17262022-03-05 03:00:21.383Repositorio de la Universidad Autonoma del Perúrepositorio@autonoma.pe |
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M-Learning applied to the improvement of the learning of university engineering students |
| title |
M-Learning applied to the improvement of the learning of university engineering students |
| spellingShingle |
M-Learning applied to the improvement of the learning of university engineering students Petrlik Azabache, Iván Educational courses Educational institutions Engineering education Learning management systems Mobile learning https://purl.org/pe-repo/ocde/ford#2.02.04 |
| title_short |
M-Learning applied to the improvement of the learning of university engineering students |
| title_full |
M-Learning applied to the improvement of the learning of university engineering students |
| title_fullStr |
M-Learning applied to the improvement of the learning of university engineering students |
| title_full_unstemmed |
M-Learning applied to the improvement of the learning of university engineering students |
| title_sort |
M-Learning applied to the improvement of the learning of university engineering students |
| author |
Petrlik Azabache, Iván |
| author_facet |
Petrlik Azabache, Iván Rodriguez Rodriguez, Ciro Lezama Gonzales, Pedro |
| author_role |
author |
| author2 |
Rodriguez Rodriguez, Ciro Lezama Gonzales, Pedro |
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author author |
| dc.contributor.author.fl_str_mv |
Petrlik Azabache, Iván Rodriguez Rodriguez, Ciro Lezama Gonzales, Pedro |
| dc.subject.es_PE.fl_str_mv |
Educational courses Educational institutions Engineering education Learning management systems Mobile learning |
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Educational courses Educational institutions Engineering education Learning management systems Mobile learning https://purl.org/pe-repo/ocde/ford#2.02.04 |
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https://purl.org/pe-repo/ocde/ford#2.02.04 |
| description |
This paper is intended to determine the extent to which the M-learning model with methodological strategies improves the learning of student’s undergraduates of the Systems Engineering career. The method used was developed through a study of quasi-experimental type and conformed by an experimental group composed of 25 students of section B and a control group by 25 students of section A of the subject of Software Design Patterns. of the Autonomous University of Peru. To obtain the results of the inferential analysis, the Student T test and the Mann Whitney U test were used. Likewise, a prestest and a posttest were applied to evidence the learning improved, previously tests of validity and reliability were performed in each case, the corresponding calculations were subsequently made for the test of the hypotheses. After applying the M-learning model with methodological strategies, significant differences were observed (p = 0.000 <0.05) in the general, declarative, procedural and attitudinal learning, in the results of the pretest and posttest evaluation, being higher the average of the posttest, with a 95% level of confidence. With the results obtained, we can conclude that the M-learning model with methodological strategies significantly improves the learning of university students of the Systems Engineering career of the Autonomous University of Perú in the subject of Software Design Patterns. |
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2020 |
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2022-03-04T14:10:11Z |
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2022-03-04T14:10:11Z |
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2020-07-01 |
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article |
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978-1-7281-3567-0 |
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https://hdl.handle.net/20.500.13067/1726 |
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2019 International Symposium on Engineering Accreditation and Education (ICACIT) |
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https://doi.org/10.1109/ICACIT46824.2019.9130215 |
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978-1-7281-3567-0 2019 International Symposium on Engineering Accreditation and Education (ICACIT) |
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https://hdl.handle.net/20.500.13067/1726 https://doi.org/10.1109/ICACIT46824.2019.9130215 |
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eng |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).