The Impact of Personalized AI on Iranian Language Learners' Comprehension: An Exploration of AI-Driven Learning Experiences

This article examines the impact of personalized AI on Iranian Language Learners' comprehension and analyzes its impact on improving language skills through adaptive learning methods. Personalized AI has changed the environment of language learning, providing personalized experiences that cater to individual needs and learning styles. AI-driven learning tools have obtained meaningful traction in Iran, where learning foreign languages is important for academic and professional advancement. Analyzing its influence on improving linguistic proficiency through adaptive learning strategies. An AI-powered framework uses natural language processing, machine learning, and interactive feedback systems to recognize learners' strengths and weaknesses. These tools adapt content, offering customized lessons that boost understanding and long-term recall. Researches show that AI-driven methods lead to improved fluency and more efficient acquisition of language skills such as writing, speaking, reading, and listening. Regardless of these advantages, limited access to AI technologies and concerns regarding the ethical protection of personal data are challenges that Iranian students face. Nevertheless, results suggest that AI’s ability to provide contextual learning, instant feedback, and personalized instruction greatly boosts learners' confidence and motivation. As AI continues to progress, integrating these technologies into Iran’s educational structure could transform language learning, closing gaps in understanding and accessibility.

کلیدواژه ها:

Personalized AI ، Comprehension ، Adaptive Learning ، Natural Language Processing (NLP) ، Engagement