Language Learner

Research on language learners is increasingly focused on leveraging artificial intelligence, particularly large language models (LLMs) like GPT, to create personalized and effective tutoring systems. Current studies explore the design and evaluation of AI-powered tools for various language learning tasks, including writing assistance, vocabulary acquisition, and grammatical error correction, often employing techniques like prompt engineering and contrastive learning to enhance model performance. This work aims to improve language learning outcomes and offers valuable insights into human-AI interaction in educational settings, informing the development of more effective and accessible language learning resources.