A Study of Personalized Language Learning with AI Technology and Media Convergence

The convergence of AI and social media opens up a whole new path for personalized language learning. Traditional classroom teaching methods often fail to meet the individual needs of today’s learners, a dilemma that is eased by AI’s intelligent recommender systems and ability to analyze data. With the rapid development of AI technology, its application in the field of education is becoming more and more extensive, especially with the combination of social media for personalized learning has brought new opportunities. This combination not only accurately captures learners’ needs but also enhances engagement and motivation through social interaction, further improving learning outcomes. While many media platforms offer a wealth of language-learning resources, AI makes it easier for these language-learning resources to meet the individual needs of students through intelligent recommendations and a mechanism of continuous learning and updating. Through this emerging learning model, students can achieve immersive language learning through social interaction. However, this new approach also raises new issues such as student autonomy, validity of information and even recognition in the face of disinformation. Therefore, it is crucial to investigate the combination of AI and media for personalized language learning, and this thesis will explore the prospects and challenges of its application.