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The Use of Smartphones in Different Phases of Medical School and its Relationship to Internet Addiction and Learning Approaches
The use of smartphones is revolutionizing the way information is acquired, leading to profound modifications in teaching medicine. Nevertheless, inadvertent use can negatively affect student learning. The present study aims to evaluate smartphone use in the educational context as well as Internet ad...
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Published in: | Journal of medical systems 2018-06, Vol.42 (6), p.106-8, Article 106 |
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description | The use of smartphones is revolutionizing the way information is acquired, leading to profound modifications in teaching medicine. Nevertheless, inadvertent use can negatively affect student learning. The present study aims to evaluate smartphone use in the educational context as well as Internet addiction and its repercussions on surface and deep learning and to compare them during the different phases of medical students’ education. This is a cross-sectional study involving medical students in all phases of education. Sociodemographic data, type and frequency of smartphone use, degree of digital addiction (Internet Addiction Test - IAT), and surface and deep approaches to learning (Biggs) were analyzed. A total of 710 students were included. Almost all students had a smartphone and a total of 96.8% used it during lectures, classes, and meetings. Less than half of the students (47.3%) reported using a smartphone for more than 10 min for educational purposes, a usage that is higher among clerkship students. At least 95% reported using a smartphone in the classroom for activities not related to medicine (social media and searching for general information) and 68.2% were considered problematic Internet users according to the IAT. The most common reasons for noneducational use were that the class was uninteresting, students needed to receive or make an important call, and the educational strategy was not stimulating. The “frequency of smartphone use” and higher “internet addiction” were correlated to both higher levels of surface learning and lower levels of deep learning. Educators should advise and educate their students about conscientious use of this tool to avoid detrimental impact on the learning process. |
doi_str_mv | 10.1007/s10916-018-0958-x |
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Nevertheless, inadvertent use can negatively affect student learning. The present study aims to evaluate smartphone use in the educational context as well as Internet addiction and its repercussions on surface and deep learning and to compare them during the different phases of medical students’ education. This is a cross-sectional study involving medical students in all phases of education. Sociodemographic data, type and frequency of smartphone use, degree of digital addiction (Internet Addiction Test - IAT), and surface and deep approaches to learning (Biggs) were analyzed. A total of 710 students were included. Almost all students had a smartphone and a total of 96.8% used it during lectures, classes, and meetings. Less than half of the students (47.3%) reported using a smartphone for more than 10 min for educational purposes, a usage that is higher among clerkship students. 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Educators should advise and educate their students about conscientious use of this tool to avoid detrimental impact on the learning process.</description><identifier>ISSN: 0148-5598</identifier><identifier>EISSN: 1573-689X</identifier><identifier>DOI: 10.1007/s10916-018-0958-x</identifier><identifier>PMID: 29700626</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Addictions ; Adult ; Age Factors ; Behavior, Addictive - epidemiology ; Brazil - epidemiology ; Cross-Sectional Studies ; Digital media ; Education ; Education & Training ; Education, Medical - statistics & numerical data ; Health Informatics ; Health Sciences ; Humans ; Internet ; Learning ; Machine learning ; Medical students ; Medicine ; Medicine & Public Health ; Mobile Applications - utilization ; Phases ; Sex Factors ; Smartphone - utilization ; Smartphones ; Social Media - utilization ; Socioeconomic Factors ; Statistics for Life Sciences ; Students ; Students, Medical - statistics & numerical data ; Young Adult</subject><ispartof>Journal of medical systems, 2018-06, Vol.42 (6), p.106-8, Article 106</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2018</rights><rights>Journal of Medical Systems is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-38d4bb420c504f112d60382cf1076e8d1fc5140287656d30e8e7f9b78de1f8d23</citedby><cites>FETCH-LOGICAL-c372t-38d4bb420c504f112d60382cf1076e8d1fc5140287656d30e8e7f9b78de1f8d23</cites><orcidid>0000-0002-5384-9476</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29700626$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Loredo e Silva, Mathias Paulo</creatorcontrib><creatorcontrib>de Souza Matos, Brenda Dutra</creatorcontrib><creatorcontrib>da Silva Ezequiel, Oscarina</creatorcontrib><creatorcontrib>Lucchetti, Alessandra Lamas Granero</creatorcontrib><creatorcontrib>Lucchetti, Giancarlo</creatorcontrib><title>The Use of Smartphones in Different Phases of Medical School and its Relationship to Internet Addiction and Learning Approaches</title><title>Journal of medical systems</title><addtitle>J Med Syst</addtitle><addtitle>J Med Syst</addtitle><description>The use of smartphones is revolutionizing the way information is acquired, leading to profound modifications in teaching medicine. Nevertheless, inadvertent use can negatively affect student learning. The present study aims to evaluate smartphone use in the educational context as well as Internet addiction and its repercussions on surface and deep learning and to compare them during the different phases of medical students’ education. This is a cross-sectional study involving medical students in all phases of education. Sociodemographic data, type and frequency of smartphone use, degree of digital addiction (Internet Addiction Test - IAT), and surface and deep approaches to learning (Biggs) were analyzed. A total of 710 students were included. Almost all students had a smartphone and a total of 96.8% used it during lectures, classes, and meetings. Less than half of the students (47.3%) reported using a smartphone for more than 10 min for educational purposes, a usage that is higher among clerkship students. At least 95% reported using a smartphone in the classroom for activities not related to medicine (social media and searching for general information) and 68.2% were considered problematic Internet users according to the IAT. The most common reasons for noneducational use were that the class was uninteresting, students needed to receive or make an important call, and the educational strategy was not stimulating. The “frequency of smartphone use” and higher “internet addiction” were correlated to both higher levels of surface learning and lower levels of deep learning. Educators should advise and educate their students about conscientious use of this tool to avoid detrimental impact on the learning process.</description><subject>Addictions</subject><subject>Adult</subject><subject>Age Factors</subject><subject>Behavior, Addictive - epidemiology</subject><subject>Brazil - epidemiology</subject><subject>Cross-Sectional Studies</subject><subject>Digital media</subject><subject>Education</subject><subject>Education & Training</subject><subject>Education, Medical - statistics & numerical data</subject><subject>Health Informatics</subject><subject>Health Sciences</subject><subject>Humans</subject><subject>Internet</subject><subject>Learning</subject><subject>Machine learning</subject><subject>Medical students</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mobile Applications - utilization</subject><subject>Phases</subject><subject>Sex Factors</subject><subject>Smartphone - 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subjects | Addictions Adult Age Factors Behavior, Addictive - epidemiology Brazil - epidemiology Cross-Sectional Studies Digital media Education Education & Training Education, Medical - statistics & numerical data Health Informatics Health Sciences Humans Internet Learning Machine learning Medical students Medicine Medicine & Public Health Mobile Applications - utilization Phases Sex Factors Smartphone - utilization Smartphones Social Media - utilization Socioeconomic Factors Statistics for Life Sciences Students Students, Medical - statistics & numerical data Young Adult |
title | The Use of Smartphones in Different Phases of Medical School and its Relationship to Internet Addiction and Learning Approaches |
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