  Learning Spaces are certain set systems that are applied in the mathematical
modeling of education. We propose a suitable compression (without loss of
information) of such set systems to facilitate their logical and statistical
analysis. Under certain circumstances compression is the prerequisite to
calculate the Learning Space in the first place. There are connections to the
dual framework of Formal Concept Analysis and in particular to so called
attribute exploration.
