This project is based on the training data of French medical students on the SIDES system. A variety of questions can be investigated, including:
- What is the training difficulty level that promotes the best learning (as measured in final exams), and the best motivation (as measures by continuous engagement)?
- What are the training schedules (spaced, massed, expanding vs. uniform vs. contracting schedules…) that promote the best learning?
- What is the optimal way to train on several specialties? How frequently should the subjects be alternated? What is the optimal "grain size" of training on a given subject before moving on to a different subject?
- Bring your own question!
Student profile: data science, statistics, econometrics, AI. Any other profile, but with strong analytical skills.