MAÜ GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.
 

Bibliometric mapping of mobile learning

dc.contributor.author Göksu, İdris
dc.contributor.other Department of Educational Sciences / Eğitim Bilimleri Bölümü
dc.date.accessioned 2021-08-26T14:17:24Z
dc.date.available 2021-08-26T14:17:24Z
dc.date.issued 2021
dc.department MAÜ, Fakülteler, Edebiyat Fakültesi, Eğitim Bilimleri Bölümü en_US
dc.description.abstract This 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 journals en_US
dc.identifier.scopus 2-s2.0-85090057508
dc.identifier.uri https://www.scopus.com/record/display.uri?eid=2-s2.0-85090057508&doi=10.1016%2fj.tele.2020.101491&origin=inward&txGid=c63cdf6a3b7dc2c2929972d0b36eca44
dc.identifier.uri https://hdl.handle.net/20.500.12514/2823
dc.identifier.volume 56 en_US
dc.identifier.wos WOS:000600791800012
dc.identifier.wosquality Q1
dc.indekslendigikaynak Web of Science en_US
dc.indekslendigikaynak Scopus en_US
dc.language.iso en en_US
dc.publisher Telematics and Informatics en_US
dc.relation.ispartof Telematics and Informatics en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 104
dc.subject Bibliometric analysis, Bibliometric mapping, M-learning, Mobile devices, Mobile learning en_US
dc.title Bibliometric mapping of mobile learning en_US
dc.type Article en_US
dc.wos.citedbyCount 74
dspace.entity.type Publication
relation.isAuthorOfPublication 774ca9e9-8596-4132-9a7b-6f8b286ca514
relation.isAuthorOfPublication.latestForDiscovery 774ca9e9-8596-4132-9a7b-6f8b286ca514
relation.isOrgUnitOfPublication a790e378-929e-4ae7-87aa-69b5e059d4b6
relation.isOrgUnitOfPublication.latestForDiscovery a790e378-929e-4ae7-87aa-69b5e059d4b6

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