Learning with mobile technologies: students’ behavior

Detalhes bibliográficos
Autor(a) principal: Briz-Ponce, Laura
Data de Publicação: 2017
Outros Autores: Pereira, Anabela, Carvalho, Lina, Juanes-Méndez, Juan Antonio, García-Peñalvo, Francisco José
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/22040
Resumo: The increasing growth of mobile technology in our Society has become a reality. This paper was designed to research about the different factors and drivers that could influence students’ behaviour into the usage of mobile technologies for learning. The methodology was based on a quantitative survey grounded on the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology. Data were collected from medical students in University of Coimbra. This model pointed to a behaviour pattern based on the experience and application by medical students, correlating with a strong attitude towards using mobile technology for learning (57%) and willingness to recommend it (40.5%). In line with previous studies, Social Influence raised to be an important factor towards the Attitude and Behavioural Intention of using Mobile Learning. In addition, according to the results, the student’s ease of perception seems to be the main factor affecting the Social Influence (31.9%) and the reliability for recommending this technology for learning was the main factor that affected the Behavioural Intention. Findings provide support for Technology Acceptance Model and the implications of these findings are discussed within the context of Innovation in Education.
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spelling Learning with mobile technologies: students’ behaviorMobile applicationMedical educationMhealthMobile learningTAMInnovationThe increasing growth of mobile technology in our Society has become a reality. This paper was designed to research about the different factors and drivers that could influence students’ behaviour into the usage of mobile technologies for learning. The methodology was based on a quantitative survey grounded on the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology. Data were collected from medical students in University of Coimbra. This model pointed to a behaviour pattern based on the experience and application by medical students, correlating with a strong attitude towards using mobile technology for learning (57%) and willingness to recommend it (40.5%). In line with previous studies, Social Influence raised to be an important factor towards the Attitude and Behavioural Intention of using Mobile Learning. In addition, according to the results, the student’s ease of perception seems to be the main factor affecting the Social Influence (31.9%) and the reliability for recommending this technology for learning was the main factor that affected the Behavioural Intention. Findings provide support for Technology Acceptance Model and the implications of these findings are discussed within the context of Innovation in Education.Elsevier2018-02-02T19:43:19Z2017-07-01T00:00:00Z2017-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/22040eng0747-563210.1016/j.chb.2016.05.027Briz-Ponce, LauraPereira, AnabelaCarvalho, LinaJuanes-Méndez, Juan AntonioGarcía-Peñalvo, Francisco Joséinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T11:43:16Zoai:ria.ua.pt:10773/22040Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:56:18.905778Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Learning with mobile technologies: students’ behavior
title Learning with mobile technologies: students’ behavior
spellingShingle Learning with mobile technologies: students’ behavior
Briz-Ponce, Laura
Mobile application
Medical education
Mhealth
Mobile learning
TAM
Innovation
title_short Learning with mobile technologies: students’ behavior
title_full Learning with mobile technologies: students’ behavior
title_fullStr Learning with mobile technologies: students’ behavior
title_full_unstemmed Learning with mobile technologies: students’ behavior
title_sort Learning with mobile technologies: students’ behavior
author Briz-Ponce, Laura
author_facet Briz-Ponce, Laura
Pereira, Anabela
Carvalho, Lina
Juanes-Méndez, Juan Antonio
García-Peñalvo, Francisco José
author_role author
author2 Pereira, Anabela
Carvalho, Lina
Juanes-Méndez, Juan Antonio
García-Peñalvo, Francisco José
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Briz-Ponce, Laura
Pereira, Anabela
Carvalho, Lina
Juanes-Méndez, Juan Antonio
García-Peñalvo, Francisco José
dc.subject.por.fl_str_mv Mobile application
Medical education
Mhealth
Mobile learning
TAM
Innovation
topic Mobile application
Medical education
Mhealth
Mobile learning
TAM
Innovation
description The increasing growth of mobile technology in our Society has become a reality. This paper was designed to research about the different factors and drivers that could influence students’ behaviour into the usage of mobile technologies for learning. The methodology was based on a quantitative survey grounded on the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology. Data were collected from medical students in University of Coimbra. This model pointed to a behaviour pattern based on the experience and application by medical students, correlating with a strong attitude towards using mobile technology for learning (57%) and willingness to recommend it (40.5%). In line with previous studies, Social Influence raised to be an important factor towards the Attitude and Behavioural Intention of using Mobile Learning. In addition, according to the results, the student’s ease of perception seems to be the main factor affecting the Social Influence (31.9%) and the reliability for recommending this technology for learning was the main factor that affected the Behavioural Intention. Findings provide support for Technology Acceptance Model and the implications of these findings are discussed within the context of Innovation in Education.
publishDate 2017
dc.date.none.fl_str_mv 2017-07-01T00:00:00Z
2017-07
2018-02-02T19:43:19Z
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url http://hdl.handle.net/10773/22040
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language eng
dc.relation.none.fl_str_mv 0747-5632
10.1016/j.chb.2016.05.027
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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