Clinicians have characteristics - high scientific maturity, low tolerance for symbol manipulation and programming, limited time outside of class - that limit the effectiveness of traditional methods for teaching multi-predictor modeling. We describe an active-learning-based approach that shows particular promise for accommodating these characteristics.