What type of study is this?

This is a Bibliometric Analysis study.

September 30, 2025Digital Technologies Research and ApplicationsOpen Access

Mapping the Future: A Bibliometric Analysis of Engagement Trends in Artificial Intelligence within Higher Education

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Authors

TETosin EkundayoSynergy University Dubai SCShahid Ali ChaudhrySynergy University Dubai

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Implication

Bibliometric analysis reveals key research trends in artificial intelligence for higher education, highlighting significant contributions and collaborative networks.

Key Points

The analysis identifies major research themes like AI applications and student engagement—important for guiding future scholarships.
Key findings include insights into influential authors and their collaborative networks, emphasizing the role of partnerships in AI research.
This study utilizes VOSviewer to analyze 4,696 datasets from Scopus, showing trends from 1939 to 2024 in AI within higher education.
The findings suggest that strategic collaborations and emerging technologies are vital for advancing AI research in educational contexts.

Cite This Study

Ekundayo et al. (2025) studied this question.

synapsesocial.com/papers/68dc262a8a7d58c25ebb35f2 https://doi.org/10.54963/dtra.v4i3.1285

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Implication

Bibliometric analysis reveals key research trends in artificial intelligence for higher education, highlighting significant contributions and collaborative networks.

Mapping the Future: A Bibliometric Analysis of Engagement Trends in Artificial Intelligence within Higher Education

Discussion

Member takes

Implication

Key Points

Cite This Study

Mapping the Future: A Bibliometric Analysis of Engagement Trends in Artificial Intelligence within Higher Education

Discussion

Member takes

Implication

Key Points

Cite This Study

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