Bibliometric mapping of mobile learning

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dc.contributor.authorGöksu, İdris
dc.date.accessioned2021-08-26T14:17:24Z
dc.date.available2021-08-26T14:17:24Z
dc.date.issued2021en_US
dc.departmentMAÜ, Fakülteler, Edebiyat Fakültesi, Eğitim Bilimleri Bölümüen_US
dc.description.abstractThis study aims to reveal the tendency towards research in the field of mobile learning with the analysis of co-authorship, bibliographic coupling, co-occurrence, and citation by taking into consideration of author, publication, keyword, journal, country, university and citation variables. As of September 2019, the meta-data of a total of 5167 studies in the Web of Science database constituted the scope of this study. VOSviewer and sciMAT were used for the bibliometric analysis while Harzing's Publish and Perish software was used for the h-index. As a result of the bibliometric analysis, it was concluded that the most effective countries in mobile learning are Taiwan, USA, China, and England. According to the keyword co-occurrence analysis, mobile devices, higher education, mobile technologies, tablet, and smartphone keywords stand out in the field of mobile learning. Within the period of 2015–2019, trending topics were broadly educational technologies and, more specifically, tablets, mobile phones, MOOCs and learning strategies. It was found that G. J. Hwang is the most influential researcher and National Taiwan University of Science and Technology is the most influential university. It can be concluded that the most effective researches are augmented reality, higher education, and smartphone oriented mobile learning researches. According to the analyses conducted in the context of journals, Computers & Education, British Journal of Educational Technology and Educational Technology & Society were the most contributing journalsen_US
dc.identifier.scopus2-s2.0-85090057508en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85090057508&doi=10.1016%2fj.tele.2020.101491&origin=inward&txGid=c63cdf6a3b7dc2c2929972d0b36eca44
dc.identifier.urihttps://hdl.handle.net/20.500.12514/2823
dc.identifier.volume56en_US
dc.identifier.wosWOS:000600791800012en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTelematics and Informaticsen_US
dc.relation.ispartofTelematics and Informaticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBibliometric analysis, Bibliometric mapping, M-learning, Mobile devices, Mobile learningen_US
dc.titleBibliometric mapping of mobile learningen_US
dc.typeArticleen_US

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