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Understanding smartphone usage in college classrooms: A long-term measurement study

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dc.contributor.authorKim, Inyeop-
dc.contributor.authorKim, Rihun-
dc.contributor.authorKim, Heepyung-
dc.contributor.authorKim, Duyeon-
dc.contributor.authorHan, Kyungsik-
dc.contributor.authorLee, Paul H-
dc.contributor.authorMark, Gloria-
dc.contributor.authorLee, Uichin-
dc.date.accessioned2023-09-04T07:21:17Z-
dc.date.available2023-09-04T07:21:17Z-
dc.date.created2023-07-21-
dc.date.issued2019-11-
dc.identifier.issn0360-1315-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/189745-
dc.description.abstractSmartphone usage is widespread in college classrooms, but there is a lack of measurement studies. We conducted a 14-week measurement study in the wild with 84 first-year college students in Korea. We developed a data collection and processing tool for usage logging, mobility tracking, class evaluation, and class attendance detection. Using this dataset, we quantify students' smartphone usage patterns in the classrooms, ranging from simple use duration and frequency to temporal rhythms and interaction patterns. Furthermore, we identify the key predictors of students' in-class smartphone use and their semester grades. Our results reveal that students use their phones for more than 25% of effective class duration, and phone distractions occur every 3-4 min for over a minute in duration. The key predictors of in-class smartphone use are daily usage habits and class characteristics, and in-class phone usage is negatively correlated with student grades.-
dc.language영어-
dc.language.isoen-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.titleUnderstanding smartphone usage in college classrooms: A long-term measurement study-
dc.typeArticle-
dc.contributor.affiliatedAuthorHan, Kyungsik-
dc.identifier.doi10.1016/j.compedu.2019.103611-
dc.identifier.scopusid2-s2.0-85068145210-
dc.identifier.wosid000484653000005-
dc.identifier.bibliographicCitationCOMPUTERS & EDUCATION, v.141, pp.1 - 16-
dc.relation.isPartOfCOMPUTERS & EDUCATION-
dc.citation.titleCOMPUTERS & EDUCATION-
dc.citation.volume141-
dc.citation.startPage1-
dc.citation.endPage16-
dc.type.rimsART-
dc.type.docType정기학술지(Article(Perspective Article포함))-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEducation & Educational Research-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryEducation & Educational Research-
dc.subject.keywordPlusOFF-TASK MULTITASKING-
dc.subject.keywordPlusACADEMIC-PERFORMANCE-
dc.subject.keywordPlusFACEBOOK USE-
dc.subject.keywordPlusSTUDENTS-
dc.subject.keywordPlusTECHNOLOGY-
dc.subject.keywordPlusATTENTION-
dc.subject.keywordPlusLECTURES-
dc.subject.keywordPlusIMPACT-
dc.subject.keywordAuthorIn-class smartphone use-
dc.subject.keywordAuthorMultitasking behaviors-
dc.subject.keywordAuthorObjective measurements-
dc.subject.keywordAuthorSmartphone distraction-
dc.subject.keywordAuthorAcademic performance-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0360131519301642?via%3Dihub-
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