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Many medical students from non-English speaking backgrounds often find it challenging to interact with patients in English-speaking environment. To help medical students from CUHKSZ to overcome those challenges, the current project aims to develop a course which adopts a blended learning mode of traditional communication training and the integration of AI-powered Chatbots as supplementary teaching and learning tools to enhance medical students’ L2 (English) interactional competence during doctor-patient interactions. Interactional competence in this project refers to the skill of collaboratively creating meaningful and purposeful communication, considering the sociocultural and pragmatic aspects of the context and situation (Galaczi & Taylor, 2018). Drawing on natural language processing, voice recognition and response functions of AI-powered chatbots, medical students can participate in simulating dialogues to practice their communication skills in a controlled environment. Those who have completed the course are expected to achieve better performance at the micro level of interaction, namely, aspects of topic management, turn management, interactive listening, and breakdown repair. Ten sets of teaching plans and AI generated teaching materials will be developed to focus on enhancing medical students’ interactional competence in English. This course could be further developed into an elective course for the University.