I've always been dissatisfied with the "explanations" of degrees of freedom presented in statistics courses. These explanations either rely on mystery ("the number of scores that are free to vary") or magic (N-dimensional geometry). It turns out there is an explanation that non-math majors can comprehend, but it is very time consuming. So should statistics courses take the time to explain degrees of freedom?
@checolt - I am not sure if that helps, but generally in math, "degrees of freedom" refers to the number of variables that you can "control" given the solution to your problem. The first time that I learned about it in high school, I was given this very simple example: x + y = 5, which has has degree of freedom - once you pick x, y is immediately defined, so here you have the freedom of choosing one variable as you wish.
Not sure if that helps, but thats the most primitive example that I can think of for explaining DOF. Same idea applies in stats. Good luck.