Tracking Global Trends in Personalized Teaching: A Bibliometric and Keyword Co-Occurrence Analysis

Dongping Shi; Shanshan Zeng; Chengyu Xie

doi:10.6918/IJOSSER.202507_8(7).0005

Authors

Dongping Shi
Shanshan Zeng
Chengyu Xie

DOI:

https://doi.org/10.6918/IJOSSER.202507_8(7).0005

Keywords:

Personalized learning ; education; performance; e-learning; artificial intelligence; Introduction.

Abstract

This article employs bibliometric analysis to examine the temporal changes in publication output in personalized teaching, including the evolution of publication sources, publication output of different countries over time, and the collaboration and trends among countries and institutions. Additionally, it analyzes the co-occurrence of keywords. These analyses are of great significance for revealing research trends and the evolution of the field in personalized teaching.

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References

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