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Upper-level microbiology courses like medical microbiology are historically best taught using realistic case studies, in-class activities, and laboratory-centered content. However, students struggle on assessments due to the content depth and breadth. This project’s goal is to investigate the usefulness of artificial intelligence (AI) in improving learning outcomes and the student experience in medical microbiology. This will initially be accomplished by developing prompts that result in innovative methods to assess student knowledge and encourage learning in the classroom. Different AI models will be tested to understand the effect of the model on AI output. The results of this initial exploration of AI-enhanced learning will be tested in a medical microbiology course and compared to historical non-AI assessments and activities.
