Understanding probability is essential for daily life. Probabilistic reasoning is critical in decision making not only for people but also for artificial intelligence (AI). AI sets a modern context to connect probability concepts to real-life situations. It also provides unique opportunities for reciprocal learning that can advance student understanding of both AI systems and probabilistic reasoning. The 7th Patient project aims to improve the current practice of high school probability education and to design AI problem-solving to connect probability and AI concepts. Set in a game-based environment, students learn and practice applying probability theory while exploring the world of probability-based AI algorithms to solve problems that are meaningful and relevant to them. The project was piloted in classrooms in the Montebello Unified School District. 

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The 7th Patient project aims to use technology-supported learning to improve current practice in high school math education, through research and development of a game-based learning environment. The project developed AI problem-solving based on the high school probability curriculum, and iteratively refined the problem design through cognitive interview studies. Building on the instructional guidelines and scaffolding strategies distilled from these studies, the project developed the 7th Patient game, a game-based learning environment that guides students through problem-solving based learning, addresses students’ misconceptions in probability, immerses them in scenarios aligned with the interests of the students and mirror those in real-life where the probability concepts and AI algorithms can be applied.