As a Queen Mary Academy Learner's Intern for 2023/24, I contributed to the Editorial Team on the "AI for Student Learning and Research" module for the Faculty of Medicine and Dentistry where I focused on enhancing content and improving the visual experience for users. I am particularly proud of proposing the integration of pre-assessment and scenario-based learning strategies into the module design guidelines, which helped enhance QMPlus's functionality and user experience. The SEED Award truly inspires me to further explore the intersection of AI and education. I encourage all Queen Mary students to get involved in these enriching learning and teaching projects!
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nd magic' method works," and "Can you be my personal tutor?"