The Impact of AI-Driven Technologies on the EFL Learning Process

Abstract

The present study aimed to analyze the impact of AI-driven technologies on Kurdish students of English as a Foreign Language. For this experimental research, a quantitative methodology was used. An online questionnaire was used through Google Forms. The findings of this experiment indicated that students spend much time using various AI-driven technologies to learn English. Listening skills are the most improved skill through the AI model.  This research also showed that using AI-driven technologies helps students acquire new functional vocabulary elements to reduce their previous spelling errors. Among the different AI models, Duolingo was the most used AI model for learning the English language. By extension, the research also recommended investigating the impact of AI-driven technologies on each skill obtained, but separately.