A Study on Using AI-Simulated Intercultural Dialogues to Develop Students' Cultural Communication Ability in College English Class

Abstract

Education is becoming digital quickly, and college English class should not only teach language knowledge anymore. Cross cultural communication and the ability to spread Chinese culture in English have become increasingly important. Traditional teaching has some problems: fixed scenes, not enough interaction, too much input but too little output, and no personalized guidance. Generative AI can simulate scenes, talk with students, adjust to their ability, and give proper feedback, so it offers a new way to reform intercultural teaching. Based on real college English classes, this paper looks at the problems of traditional teaching, explains the value of AI-simulated intercultural dialogues, and builds a teaching model of “pre-class preparation – in-class practice – after-class extension – multiple assessment”. It also discusses how to develop students' cultural communication ability in class, talks about the risks of using the technology, and gives some suggestions. The study shows that using AI-simulated dialogues properly can improve students' intercultural thinking and cultural output ability, and help them tell Chinese stories in English.