An Empirical Assessment of a Technology Acceptance Model for Apps in Medical Education
The evolution and the growth of mobile applications (“apps”) in our society is a reality. This general trend is still upward and the app use has also penetrated the medical education community. However, there is a lot of unawareness of the students’ and professionals’ point of view about introducing...
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| Published in | Journal of medical systems Vol. 39; no. 11; p. 176 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Springer US
01.11.2015
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
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| Abstract | The evolution and the growth of mobile applications (“apps”) in our society is a reality. This general trend is still upward and the app use has also penetrated the medical education community. However, there is a lot of unawareness of the students’ and professionals’ point of view about introducing “apps” within Medical School curriculum. The aim of this research is to design, implement and verify that the Technology Acceptance Model (TAM) can be employed to measure and explain the acceptance of mobile technology and “apps” within Medical Education. The methodology was based on a survey distributed to students and medical professionals from University of Salamanca. This model explains 46,7 % of behavioral intention to use mobile devise or “apps” for learning and will help us to justify and understand the current situation of introducing “apps” into the Medical School curriculum. |
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| AbstractList | The evolution and the growth of mobile applications ("apps") in our society is a reality. This general trend is still upward and the app use has also penetrated the medical education community. However, there is a lot of unawareness of the students' and professionals' point of view about introducing "apps" within Medical School curriculum. The aim of this research is to design, implement and verify that the Technology Acceptance Model (TAM) can be employed to measure and explain the acceptance of mobile technology and "apps" within Medical Education. The methodology was based on a survey distributed to students and medical professionals from University of Salamanca. This model explains 46.7% of behavioral intention to use mobile devise or "apps" for learning and will help us to justify and understand the current situation of introducing "apps" into the Medical School curriculum. The evolution and the growth of mobile applications (“apps”) in our society is a reality. This general trend is still upward and the app use has also penetrated the medical education community. However, there is a lot of unawareness of the students’ and professionals’ point of view about introducing “apps” within Medical School curriculum. The aim of this research is to design, implement and verify that the Technology Acceptance Model (TAM) can be employed to measure and explain the acceptance of mobile technology and “apps” within Medical Education. The methodology was based on a survey distributed to students and medical professionals from University of Salamanca. This model explains 46,7 % of behavioral intention to use mobile devise or “apps” for learning and will help us to justify and understand the current situation of introducing “apps” into the Medical School curriculum. |
| ArticleNumber | 176 |
| Author | Briz-Ponce, Laura García-Peñalvo, Francisco José |
| Author_xml | – sequence: 1 givenname: Laura surname: Briz-Ponce fullname: Briz-Ponce, Laura email: laura.briz@usal.es organization: Research Institute for Educational Sciences, University of Salamanca – sequence: 2 givenname: Francisco José surname: García-Peñalvo fullname: García-Peñalvo, Francisco José organization: Research Institute for Educational Sciences, University of Salamanca |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26411928$$D View this record in MEDLINE/PubMed |
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| Keywords | Medical education TAM Mobile devices Mobile learning Mobile application Health |
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| SubjectTerms | Applications programs Attitude of Health Personnel Attitude to Computers Communities Consumer Behavior Education Education & Training Education, Medical - methods Evolution Female Health Health Informatics Health Sciences Humans Male Medical Medical Education: Learning from the Inside Out Through Digital Tools Medical schools Medicine Medicine & Public Health Mobile Applications - utilization Mobile communication systems Models, Psychological Online instruction Self Efficacy Statistics for Life Sciences Students Students, Medical - psychology Technology utilization |
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| Title | An Empirical Assessment of a Technology Acceptance Model for Apps in Medical Education |
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