Contemporary Research Trends in Mobile Learning

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Date

2024

Journal Title

Journal ISSN

Volume Title

Publisher

Springer Science and Business Media Deutschland GmbH

Open Access Color

Green Open Access

No

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No
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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.

Description

Keywords

Bibliometric analysis, Data mining, Mobile learning, Systematic review

Fields of Science

Citation

WoS Q

Scopus Q

Q4
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OpenCitations Citation Count
1

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

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Scopus : 0

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Mendeley Readers : 15

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0.754

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