Language Learning Assistant

Abstract

This study introduces an innovation AI-powered language learning assistant designed to accelerate second-language acquisition by offering personalized learning pathway. By integrating advanced Natural Language Processing (NLP) and machine learning algorithms, the system delivers real-time feedback, dynamic interactive exercises, and adaptive learning recommendations tailored to each learner’s unique needs. A mixed-method evaluation-combining user surveys with performance tracking-demonstrates marked improvement in key areas: vocabulary acquisition, pronunciation accuracy, and contextual language understanding. These finding underscore the potential of AI-driven assistant to engage learners more effectively and enhance language fluency. Future direction for this research include refining adaptive feedback mechanisms and expanding multimodal learning support to further optimize personalized language education, paving the way for more immersive and responsive language learning experiences.