The Global Landscape of Technology-assisted English Language Teaching Research: A Bibliometric Analysis

Main Article Content

Sara S. Alnakeeb
Eslam Hossam
Ramy Aldallal
Omega John Unogwu
Gertrude Milat

Abstract

The purpose of this study is to provide a comprehensive overview of the development and notable patterns in the field of Technology-Assisted English Language Teaching (TAELT) research by conducting a bibliometric analysis of the domain. Author productivity, citation rate, annual scientific production, average citations, most-cited papers, and frequently-used words are only few of the bibliometric markers that can be examined for a more in-depth picture. This research sheds light on the dynamic nature of academic research in the (TAELT) subject. An impressive rise in research output and citations over time is shown by the statistics, which may indicate (TAELT's) growing significance in academic research discourse. Computers and Education, the Proceedings of the ACM International Conference Proceeding Series, and the International Journal of Emerging Technologies in Learning are three of the most important and relevant journals in this area. These publications stand out because of the important role they play in disseminating high-impact research throughout the (TAELT) community. To further illustrate the complexity and multidimensional nature of utilizing technology in English language education, this article examines fundamental problems such e-learning, interactive learning environments, and English language teaching to provide a thorough knowledge of (TAELT) research.


 

Article Details

Section

Articles

How to Cite

The Global Landscape of Technology-assisted English Language Teaching Research: A Bibliometric Analysis (S. S. . Alnakeeb, E. . Hossam, R. . Aldallal, O. J. . Unogwu, & G. . Milat , Trans.). (2025). Babylonian Journal of Machine Learning, 2025, 61-75. https://doi.org/10.58496/BJML/2025/005