PERSONALIZED HINDI LANGUAGE LEARNING THROUGH ARTIFICIAL INTELLIGENCE TECHNOLOGIES

Abstract

This article explores the paradigm shift in language pedagogy by investigating personalized Hindi language learning through Artificial Intelligence (AI) technologies. Utilizing Natural Language Processing (NLP), Intelligent Tutoring Systems (ITS), and automatic speech recognition (ASR), AI addresses the unique challenges of Hindi, such as the Devanagari script, phonetics, and complex grammar syntax. The study evaluates how adaptive learning algorithms tailor educational materials based on individual learner proficiency, cognitive speed, and retention styles. The findings indicate that AI-driven personalization enhances communicative competence, reduces user anxiety, and increases long-term retention compared to traditional one-size-fits-all frameworks