In the Visual Learning Lab @ UCSD, we study how we "learn to see": how we learn to derive visual meaning and to express our visual knowledge. We take an ecological approach to this problem by focusing on how learning occurs in everyday, naturalistic learning contexts.  Our work leverages innovations in machine learning to help us both analyze large datasets (e.g., digital drawings made by children, see right) and to model how learning unfolds over time.