Contemporary Research Trends in Mobile Learning
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Date
2024
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Springer Science and Business Media Deutschland GmbH
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Abstract
This study attempts to conduct a bibliometric analysis of the structure and development of mobile learning research. For this, 7829 publications included in the Elsevier SCOPUS database between 1984 and 2021 were examined using bibliometric analysis by identifying key research areas, most influential authors, co-authorship status of countries, and organizations. As a result of this study, most topics related to mobile learning were Computer Science. “Mobile Learning” was the most used keyword followed by “e-learning” and “higher education”. Top performing organizations were in Taiwan. Taiwan was the major contributor in m-learning publications’ co-citation with other co-authorship countries. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Bibliometric analysis, Data mining, Mobile learning, Systematic review
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Q4
Source
Lecture Notes in Networks and Systems -- 8th International Congress on Information and Communication Technology, ICICT 2023 -- 20 February 2023 through 23 February 2023 -- London -- 298799
Volume
696 LNNS
Issue
Start Page
205
End Page
215