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This study investigated the impact of AI-driven tools on English language learning, motivated by the increasing integration of artificial intelligence in education and the need for empirical evidence on its effectiveness. The purpose of the study was to explore how AI-driven tools personalize learning, provide instant feedback, and affect learner perceptions. Using a quantitative research design, data were collected from 200 students across four international schools via questionnaires. Three major findings emerged: AI-driven tools significantly enhanced personalized learning experiences, with 72.5% of students rating personalization highly; instant feedback from AI tools was found to be very helpful by 80% of students, leading to improved language acquisition progress; and 80% of students recommended AI-driven tools, citing increased enjoyment and engagement. The study concluded that AI-driven tools effectively support personalized learning and provide beneficial instant feedback, though challenges such as technical issues and the need for human interaction remain. It was recommended that educators integrate AI tools thoughtfully, ensuring a balance with traditional methods and addressing technical and accessibility concerns. Further research should investigate long-term impacts and optimal implementation strategies.
Olusegun Oladele Jegede (Mon,) studied this question.