KFU. Card publication. A cross-database bibliometric analysis of ubiquitous learning: Trends, influences, and future directions

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

A CROSS-DATABASE BIBLIOMETRIC ANALYSIS OF UBIQUITOUS LEARNING: TRENDS, INFLUENCES, AND FUTURE DIRECTIONS

Form of presentation

Articles in international journals and collections

Year of publication

2023

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Authors, employees of KFU

Vlasova Vera Konstantinovna, author

Zakirova Venera Gilmkhanovna, author

Bibliographic description in the original language

Abayeva, G.A, Orazayeva, G.S, Omirbek, S.J., Zakirova, V. G., & Vlasova, V. K. A cross-database bibliometric analysis of ubiquitous learning: Trends, influences, and future directions//Contemporary Educational Technology. - 2023. - Vol.15, Is.4. - Art. �ep471.

Annotation

The concept of ubiquitous learning has emerged as a pedagogical approach in response to the advancements made in mobile, wireless communication, and sensing technologies. The domain of ubiquitous learning is distinguished by swift progression, thereby presenting a difficulty in maintaining current knowledge of its developments. The implementation of bibliometric analysis would enable the tracking of its development and current status. The objective of the present investigation is to perform a thorough bibliometric examination of the domain of ubiquitous learning. This research aims to discern significant attributes, patterns, and influencers within the discipline by analyzing scholarly works. The primary objective of this study is to provide a comprehensive depiction of the salient characteristics and patterns exhibited by the datasets employed in ubiquitous learning research, namely Scopus, Web of Science (WoS), and merged datasets. Additionally, the study seeks to trace the historical development of publications in this domain and to ascertain the most noteworthy publications and authors that have exerted a significant impact on this field. This study provides an extensive bibliometric analysis of ubiquitous learning, examining output from Scopus, WoS, and a merged dataset. It highlights the field's growth and the rising use of diverse data sources, with Scopus and the merged dataset revealing broader insights. The analysis reveals an interest peak in 2016 and a subsequent decline likely due to incomplete recent data. Documents, predominantly articles, differ across databases, underscoring the unique contributions of each. The study identifies “Lecture Notes in Computer Science” and “Ubiquitous Learning” as major research sources. It recognizes Hwang, G.-J. as a highly influential author, with Asian institutions leading in research output. However, Western institutions also show strong representation in WoS and merged databases. Despite variations in total citation counts, countries like China, Switzerland, and Ireland contribute significantly to the field. Terms like “mobile learning” and “life log” have vital roles in bridging research clusters, while thematic maps reveal evolving trends like mobile learning and learning analytics. The collaborative structure and key figures in ubiquitous learning are illuminated through network analysis, emphasizing the importance of cross-database analysis for a comprehensive view of the field.

Keywords

bibliometric analysis, Scopus, ubiquitous learning, WoS

The name of the journal

Contemporary Educational Technology

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183667373&doi=10.30935%2fcedtech%2f13648&partnerID=40&md5=2c27fb05a4146ca54fb44ef48805f437

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=297158&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Vlasova Vera Konstantinovna	ru_RU
dc.contributor.author	Zakirova Venera Gilmkhanovna	ru_RU
dc.date.accessioned	2023-01-01T00:00:00Z	ru_RU
dc.date.available	2023-01-01T00:00:00Z	ru_RU
dc.date.issued	2023	ru_RU
dc.identifier.citation	Abayeva, G.A, Orazayeva, G.S, Omirbek, S.J., Zakirova, V. G., & Vlasova, V. K. A cross-database bibliometric analysis of ubiquitous learning: Trends, influences, and future directions//Contemporary Educational Technology. - 2023. - Vol.15, Is.4. - Art. �ep471.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=297158&p_lang=2	ru_RU
dc.description.abstract	Contemporary Educational Technology	ru_RU
dc.description.abstract	The concept of ubiquitous learning has emerged as a pedagogical approach in response to the advancements made in mobile, wireless communication, and sensing technologies. The domain of ubiquitous learning is distinguished by swift progression, thereby presenting a difficulty in maintaining current knowledge of its developments. The implementation of bibliometric analysis would enable the tracking of its development and current status. The objective of the present investigation is to perform a thorough bibliometric examination of the domain of ubiquitous learning. This research aims to discern significant attributes, patterns, and influencers within the discipline by analyzing scholarly works. The primary objective of this study is to provide a comprehensive depiction of the salient characteristics and patterns exhibited by the datasets employed in ubiquitous learning research, namely Scopus, Web of Science (WoS), and merged datasets. Additionally, the study seeks to trace the historical development of publications in this domain and to ascertain the most noteworthy publications and authors that have exerted a significant impact on this field. This study provides an extensive bibliometric analysis of ubiquitous learning, examining output from Scopus, WoS, and a merged dataset. It highlights the field's growth and the rising use of diverse data sources, with Scopus and the merged dataset revealing broader insights. The analysis reveals an interest peak in 2016 and a subsequent decline likely due to incomplete recent data. Documents, predominantly articles, differ across databases, underscoring the unique contributions of each. The study identifies “Lecture Notes in Computer Science” and “Ubiquitous Learning” as major research sources. It recognizes Hwang, G.-J. as a highly influential author, with Asian institutions leading in research output. However, Western institutions also show strong representation in WoS and merged databases. Despite variations in total citation counts, countries like China, Switzerland, and Ireland contribute significantly to the field. Terms like “mobile learning” and “life log” have vital roles in bridging research clusters, while thematic maps reveal evolving trends like mobile learning and learning analytics. The collaborative structure and key figures in ubiquitous learning are illuminated through network analysis, emphasizing the importance of cross-database analysis for a comprehensive view of the field.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	bibliometric analysis	ru_RU
dc.subject	Scopus	ru_RU
dc.subject	ubiquitous learning	ru_RU
dc.subject	WoS	ru_RU
dc.title	A cross-database bibliometric analysis of ubiquitous learning: Trends, influences, and future directions	ru_RU
dc.type	Articles in international journals and collections	ru_RU