This paper describes an intelligent learning environment based on multiple models, both quantitative and qualitative, of a complex physical system. A trainee can learn the use of multiple models, in reasoning about the behaviour of the system, through a process of cognitive apprenticeship. The trainee can solve problems or observe the expert demonstrate problem solving using multiple models, switching between them as and when necessary. The dimensions along which these models vary are defined and example training scenarios provided.