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A Model for Medical Students’ Behavioral Intention to Use Mobile Learning
The use of mobile devices that have high technical capabilities has increased in the last years. These devices are appropriate instructional tools reflecting the trends in modern education by providing instant access to information that is used with mobile learning purposes. As is in many areas of e...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7716062/ https://www.ncbi.nlm.nih.gov/pubmed/33313399 http://dx.doi.org/10.1177/2382120520973222 |
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author | Kucuk, Sevda Baydas Onlu, Ozlem Kapakin, Samet |
author_facet | Kucuk, Sevda Baydas Onlu, Ozlem Kapakin, Samet |
author_sort | Kucuk, Sevda |
collection | PubMed |
description | The use of mobile devices that have high technical capabilities has increased in the last years. These devices are appropriate instructional tools reflecting the trends in modern education by providing instant access to information that is used with mobile learning purposes. As is in many areas of education, m-learning has been becoming widespread in medical education. Therefore, medical students’ readiness for m-learning is highly important. This study aims to investigate how medical students’ beliefs influence their behavioral intention to use mobile devices for learning purposes. The 376 medical students (222 juniors, 154 sophomores; aged between 18 and 24 years; 214 males, 162 females) participated in this study. All participants had mobile devices. Data were collected through a survey. Structural equation modeling was used to analyze the findings. The proposed model, which is created based on the theory of planned behavior, was tested in the study. Based on the findings, the medical students’ perceived ease of use, perceived usefulness, learning autonomy, intention to use, perceived self-efficacy toward mobile devices, and m-learning are found to be high level. However, according to medical students, instructors’ readiness to apply m-learning has been found to be low level. The findings showed that the proposed model explains medical students’ behavioral intention to use m-learning reasonably well. The behavioral intention is explained with a variance of 76% in the model. Subjective norm is the main indicator of behavioral intention, followed by perceived behavioral control and attitude. The proposed model in the study could be useful to design m-learning applications, environments, and implementation plans effectively in medical education. |
format | Online Article Text |
id | pubmed-7716062 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-77160622020-12-10 A Model for Medical Students’ Behavioral Intention to Use Mobile Learning Kucuk, Sevda Baydas Onlu, Ozlem Kapakin, Samet J Med Educ Curric Dev Original Research The use of mobile devices that have high technical capabilities has increased in the last years. These devices are appropriate instructional tools reflecting the trends in modern education by providing instant access to information that is used with mobile learning purposes. As is in many areas of education, m-learning has been becoming widespread in medical education. Therefore, medical students’ readiness for m-learning is highly important. This study aims to investigate how medical students’ beliefs influence their behavioral intention to use mobile devices for learning purposes. The 376 medical students (222 juniors, 154 sophomores; aged between 18 and 24 years; 214 males, 162 females) participated in this study. All participants had mobile devices. Data were collected through a survey. Structural equation modeling was used to analyze the findings. The proposed model, which is created based on the theory of planned behavior, was tested in the study. Based on the findings, the medical students’ perceived ease of use, perceived usefulness, learning autonomy, intention to use, perceived self-efficacy toward mobile devices, and m-learning are found to be high level. However, according to medical students, instructors’ readiness to apply m-learning has been found to be low level. The findings showed that the proposed model explains medical students’ behavioral intention to use m-learning reasonably well. The behavioral intention is explained with a variance of 76% in the model. Subjective norm is the main indicator of behavioral intention, followed by perceived behavioral control and attitude. The proposed model in the study could be useful to design m-learning applications, environments, and implementation plans effectively in medical education. SAGE Publications 2020-12-01 /pmc/articles/PMC7716062/ /pubmed/33313399 http://dx.doi.org/10.1177/2382120520973222 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Kucuk, Sevda Baydas Onlu, Ozlem Kapakin, Samet A Model for Medical Students’ Behavioral Intention to Use Mobile Learning |
title | A Model for Medical Students’ Behavioral Intention to Use Mobile Learning |
title_full | A Model for Medical Students’ Behavioral Intention to Use Mobile Learning |
title_fullStr | A Model for Medical Students’ Behavioral Intention to Use Mobile Learning |
title_full_unstemmed | A Model for Medical Students’ Behavioral Intention to Use Mobile Learning |
title_short | A Model for Medical Students’ Behavioral Intention to Use Mobile Learning |
title_sort | model for medical students’ behavioral intention to use mobile learning |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7716062/ https://www.ncbi.nlm.nih.gov/pubmed/33313399 http://dx.doi.org/10.1177/2382120520973222 |
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