The Impact of Artificial Intelligence and Machine Learning on Linguistic Accuracy, Fluency, and Self-Direction Among Advanced EFL Students

Linguistic capacity has been stimulated by artificial intelligence and automated learning among those who speak English as a foreign language while being proficient learners. In this research study, the influences of machine learning as well as artificial intelligence technologies on fluency and autonomy have been investigated. This study was conducted by establishing control and experimental groups, with a total of 120 participants selected. Over twelve weeks, a shift of digitally supported learning was utilized. The experimental group utilized technology-enhanced adaptive grammar tools, translation software, and artificial intelligence-driven feedback systems. On the other hand, the control group complied with conventional learning methods with no technological interventions. Educational videos and assignments have been provided to both groups by instructors during their sessions. The study results revealed a significant improvement in students’ writing fluency after the intervention. Nearly all participants in the experimental group achieved a higher level of fluency; however, the area of automation exhibited only a marginal difference. This suggests that both control and experimental learning groups experienced some improvement in learning. However, learners’ autonomy and Linguistic precision reached new heights in the experimental group. In conclusion, the revolution that AI and ML usher in terms of self-directed learning for EFL teaching is immense.