Abstract

AI language learning tools are computer programs or software applications that use artificial intelligence (AI) algorithms to help users learn and improve their skills in a foreign language. These technologies provide a variety of advantages, including the capacity to reduce time and increase learning speed, to give learners personalized learning experiences, and to introduce them to other cultures. In this study, scientific literature has been reviewed in order to analyze opportunities, challenges and limitations to using AI language learning tools, including the need for more human interaction, and contextual nuances of language, and dependence on large amounts of data for training. 

These AI tools have several potential future advances, including integrating VR and AR technologies, improving natural language processing algorithms, and developing more advanced adaptive learning algorithms. By addressing these issues and constraints, AI learning systems have the potential to become even more powerful and impactful tools for language learning, and their integration plays a crucial role in designing more effective and efficient learning user experience solutions.