Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/22040
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dc.contributor.authorBriz-Ponce, Laurapt
dc.contributor.authorPereira, Anabelapt
dc.contributor.authorCarvalho, Linapt
dc.contributor.authorJuanes-Méndez, Juan Antoniopt
dc.contributor.authorGarcía-Peñalvo, Francisco Josépt
dc.date.accessioned2018-02-02T19:43:19Z-
dc.date.available2018-02-02T19:43:19Z-
dc.date.issued2017-07-
dc.identifier.issn0747-5632pt
dc.identifier.urihttp://hdl.handle.net/10773/22040-
dc.description.abstractThe 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.pt
dc.language.isoengpt
dc.publisherElsevierpt
dc.rightsopenAccesspor
dc.subjectMobile applicationpt
dc.subjectMedical educationpt
dc.subjectMhealthpt
dc.subjectMobile learningpt
dc.subjectTAMpt
dc.subjectInnovationpt
dc.titleLearning with mobile technologies: students’ behaviorpt
dc.typearticlept
dc.peerreviewedyespt
ua.distributioninternationalpt
degois.publication.firstPage612pt
degois.publication.lastPage620pt
degois.publication.titleComputers in Human Behaviorpt
degois.publication.volume72pt
dc.identifier.doi10.1016/j.chb.2016.05.027pt
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