THE IMPACT OF AI TOWARDS STUDENT’S SECOND LANGUAGE ACQUITITION

The rapid advancements in Artificial Intelligence (AI) technology have introduced transformative methods in various fields, including second language acquisition (SLA). This study aims to examine the impact of AI-based tools and platforms on the process of learning a second language, focusing on their effectiveness, challenges, and pedagogical implications. The research employs a qualitative descriptive methodology, incorporating a thorough review of relevant literature and case studies. Data collection involves analyzing academic journals, reports, and practical use cases of AI-based language learning applications such as Duolingo and Babbel. Thematic analysis is utilized to organize data into core themes, including the personalization of learning, feedback mechanisms, and cultural context adaptation. The findings reveal that AI provides significant benefits in SLA by enabling personalized learning experiences and offering instant, adaptive feedback tailored to individual learners. However, challenges such as the inability of AI to fully understand cultural nuances and ethical concerns surrounding data privacy persist. These insights underline the need for strategic integration of AI in education, emphasizing a balance between technological potential and the human aspects of language learning. This study contributes to the growing body of research on AI in education, offering practical recommendations for educators, policymakers, and developers to harness AI's potential effectively in enhancing second language acquisition.