Ahmad Abdulkareem Shaban’s scientific contributions

Education and Literature Studies (IJEEL). This is an open access article under the CC BY license (https://creativecommons.org/licenses/b y/4.0/). Keywords-AI-powered language learning apps, young learners, language acquisition, English proficiency, educational technology. In today's technologically advanced setting, the integration of AI-powered language learning applications has significantly impacted how young learners acquire language proficiency, particularly in English. This study seeks to examine the influence of these innovative tools on the language acquisition process of young students. Through a comprehensive analysis of existing literature, empirical research, and case studies, this research aims to elucidate the multifaceted impact of AI-powered language learning apps on language proficiency among young learners. The investigation begins by exploring the theoretical frameworks underpinning language acquisition and the role of technology, specifically AI, in facilitating language learning. By assessing the effectiveness of these applications in diverse learning environments, the study evaluates their ability to enhance linguistic skills, cultural understanding, and overall proficiency in the English language among young students. Furthermore, it investigates the potential challenges and limitations associated with the utilization of AI-powered language learning apps, considering factors such as individual learning styles, technological access, and educational settings. Through meticulous analysis and synthesis of data, this research endeavors to provide valuable insights into optimizing the integration of AI-powered language learning applications within educational curricula. Understanding the nuances of these tools' impact on young learners' language acquisition processes can aid educators, policymakers, and developers in harnessing their potential effectively.