In reinforcement learning, there is a stark distinction between model-based and model-free learning algorithms, where model-free methods don't make use any explicit information about the dynamics of the environment.
It seems like this distinction would have some analog in human learning, but I'm having a very hard time finding any mention of it. Perhaps it would conditioning versus more cognitive forms of learning? I'd be overjoyed if someone could find an article using the term 'model-free' to refer to some aspect of human learning, or just reassure me of the term's correct human analog.
Does research on human learning featuring a model-free/model-based distinction exist?