AI-DING MEDICAL STUDENTS IN REGISTER-SWITCHING: CLAUDE-DESIGNED MATERIALS FOR MEDICAL REGISTER VARIATION
AI-DING MEDICAL STUDENTS IN REGISTER-SWITCHING: CLAUDE-DESIGNED MATERIALS FOR MEDICAL REGISTER VARIATION

Summary/Abstract: Artificial Intelligence (AI) is increasingly present in various educational fields and it has already significantly influenced foreign language instruction. AI technologies enable interactive and personalized learning, which can have great benefits, particularly in teaching English for specific purposes. This case study examines how AI tools can be used to design materials and activities suitable for developing medical students’ awareness of register-switching. A generative artificial intelligence chatbot Claude was prompted to produce pedagogically effective materials for teaching register variations. The activities include vocabulary development tasks, reading and writing assignments, listening comprehension exercises, speaking simulations and dialogues. The integration of AI can help teachers adapt teaching to contemporary demands, while students can develop a multi-faceted understanding of medical terminology, improve their communication skills and become more confident in their ability to interact effectively with patients and healthcare professionals. AI-assisted language learning can potentially bridge the gap between classroom instruction and real-world medical communication and better prepare future healthcare professionals for the linguistic challenges in their careers. The paper also discusses ethical considerations related to the development and implementation of AI-assisted activities, focusing on accuracy, transparency, data privacy and responsible use.

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