The integration of Virtual Reality (VR) and Conversational Agents (CAs) has transformed digital learning environments, offering immersive, interactive, and highly adaptable educational experiences. In healthcare education, VR has been widely recognized for its ability to simulate real-world medical procedures, while Conversational Agents (CAs) have emerged as powerful tools for providing personalized, context-aware guidance. This thesis investigates how novice trainees interact with a CA, specifically utilizing OpenAI’s GPT-4o-mini model, within a VR-based training system for intraosseous (IO) access, a critical emergency medical procedure used when traditional intravenous access is not viable. Specifically, the research aims to analyze user interactions, response quality, and usability feedback.