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A Trend Analysis of Mobile Learning

A Trend Analysis of Mobile Learning
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Author(s): Serçin Karataş (Gazi University, Turkey), Onur Ceran (Gazi University, Turkey), Ülkü Ülker (Gazi University, Turkey), Ezgi Tosik Gün (Gazi University, Turkey), Nimet Özgül Ünsal Köse (Gazi University, Turkey), Mustafa Kılıç (Gazi University, Turkey), Gökçe Akçayır (Gazi University, Turkey) and Zeynel Abidin Tok (Gazi University, Turkey)
Copyright: 2016
Pages: 29
Source title: Mobile and Blended Learning Innovations for Improved Learning Outcomes
Source Author(s)/Editor(s): David Parsons (The Mind Lab by Unitec, New Zealand)
DOI: 10.4018/978-1-5225-0359-0.ch013

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Abstract

The aim of this study is to determine current tendencies regarding mobile learning in published research between 2010 and 2015. In this study, 221 articles collected from the Web of Science Core Collection database with SSCI index were examined by using the content analysis technique. In the analyses, eight criteria were used, namely; research technique, sampling size, sampling level, learning domain, topical domain, data collecting tool, data analysis method and mobile application development approach. The results suggest that the main tendencies under these categories were experimental method; sample sizes of 31-100 people; higher education students; humanities and social sciences domain; learner outcomes topical domain; mixed data collecting tools; mixed analysis methods; and native mobile application development approach.

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