The Intercultural Communication Ability of Hanban Teachers Based on Artificial Intelligence and Big Data

With the deepening of economic globalization and China's “One Belt And One Road” initiative, cross-cultural communication among countries is increasingly frequent. Many countries and regions have listed Chinese as a strategic language. The main goal of international Chinese culture teaching in the new century is to cultivate learners' intercultural sensitivity and positive attitude towards different cultures in the world. The purpose of this paper is to provide better analytical Suggestions for cross-cultural communication by studying the cross-cultural communication competence of Hanban teachers based on artificial intelligence and big data. Grind Gui under the framework of narrative inquiry, the quantitative and qualitative combined with hybrid research Gui method, through the form of a questionnaire survey in four countries worked 52 international Chinese teacher, tried to improve them in the real Chinese culture teaching in cross-cultural awareness and cross-cultural teaching empirical research, practice, according to the results in the survey of culture teaching self-scores is around 3.5, still need further training on their intercultural communication ability.