DDFT Statistical foundations for problem based learning

The design intent outlined fall 2025 was a set of five case studies that the DDFT program students would engage with using problem-based-learning approaches. The original plan was to offer these sessions spring 2026 but scheduling issues prevented the sessions from occurring. The sessions were moved to summer 2026 with the intent that this would be a residential, problem-based-learning set of sessions. The first day of the sessions saw an attendance of one student and notes from many others that they were either off-island, or had conflicting class schedules, or simply intended to engage with the material online

Elizabeth

Synchronous video conferencing sessions are notorious for attendance issues, and have all of the same time conflict issues as a residential section. Add in connectivity and power issues, and synchronous sessions are generally a nonstarter. How to engage in asynchronous group based PBL online is not clear. Stack on top of this that the medical case studies involve statistics up to an included hypothesis testing, Bayesian statistics, confidence intervals, correlation, and twenty students of which only four students have taken MS 150 Statistics with another two students in the course this summer. 

As of day four all interactions are one-on-one and online. In this day and age of AI there is no way to know whether the students are problem-solving or simply asking an LLM. 

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