BIBLIOMETRIC ANALYSIS OF AI-DRIVEN TOOLS IN ENGLISH LANGUAGE TEACHING

Abstract

This study conducts a bibliometric analysis to examine the utilization of AI-driven tools in English Language Teaching (ELT) from 2014 to 2024. Articles were gathered using the Publish or Perish application, which extracts data from the Google Scholar database. The search employed the keyword "AI tool in ELT" to capture relevant literature comprehensively. The collected data, including publication titles, authors, publication years, source titles, and citation counts, were organized and analyzed using Microsoft Excel and VOSviewer. The analysis identified key trends, influential authors, and active institutions in this field. Results indicated significant contributions from authors such as B.L. Moorhouse and L. Kohnke, with notable publications in journals like Educational Technology & Society and Education Sciences. The findings underscore the growing impact of AI in ELT, revealing critical insights into research developments and highlighting gaps for future exploration. This study provides valuable information for educators, researchers, and policymakers, aiming to enhance the integration of AI technologies in English language education.