A comprehensive bibliometric review of gamified learning in higher education.

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Title: A comprehensive bibliometric review of gamified learning in higher education.
Authors: Sergeeva, Olga V.1, Zvereva, Ekaterina V.2, Kosheleva, Yuliya P.3, Zheltukhina, Marina R.4 zzmr@mail.ru, Prokopyev, Alexey I.5, Dobrokhotov, Denis A.6
Source: Contemporary Educational Technology. Jul2024, Vol. 16 Issue 3, p1-13. 13p.
Subject Terms: *Citation analysis, *Higher education, *Research personnel, *Bibliometrics, Praise
Abstract: This article has crafted a detailed bibliometric review of gamified learning in higher education which provides the reader a broad scientific background and an overview of relevant publications and their up-to-date status in this growing domain. The study examines the spread of publications over the time, revealing a development of a dynamic curve from minor to peak in 2021, and then leveled-off of activity in the rest of the years. There is special focus on high-achieving authors and institutions that are praised by the work for their key contributions to the field of gamified learning research. The aspect of global geographical distribution of gamified learning studies in the literature is expounded. While the USA and Turkey rank first in this regard, they also head the discourse. The role of key journals and a citation analysis provide the evidence of the highly reputable and established place the gamified leaning has in higher education. This bibliometric review offers important information about the multifaceted aspects of gamified learning and subsequently may be used by future researchers to dig deeper and contribute to the literature. [ABSTRACT FROM AUTHOR]
Copyright of Contemporary Educational Technology is the property of Bastas Publications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: A comprehensive bibliometric review of gamified learning in higher education.
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  Data: <searchLink fieldCode="JN" term="%22Contemporary+Educational+Technology%22">Contemporary Educational Technology</searchLink>. Jul2024, Vol. 16 Issue 3, p1-13. 13p.
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  Data: This article has crafted a detailed bibliometric review of gamified learning in higher education which provides the reader a broad scientific background and an overview of relevant publications and their up-to-date status in this growing domain. The study examines the spread of publications over the time, revealing a development of a dynamic curve from minor to peak in 2021, and then leveled-off of activity in the rest of the years. There is special focus on high-achieving authors and institutions that are praised by the work for their key contributions to the field of gamified learning research. The aspect of global geographical distribution of gamified learning studies in the literature is expounded. While the USA and Turkey rank first in this regard, they also head the discourse. The role of key journals and a citation analysis provide the evidence of the highly reputable and established place the gamified leaning has in higher education. This bibliometric review offers important information about the multifaceted aspects of gamified learning and subsequently may be used by future researchers to dig deeper and contribute to the literature. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Contemporary Educational Technology is the property of Bastas Publications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.30935/cedtech/14708
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        Text: English
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              Text: Jul2024
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