Multidimensional and hierarchical analysis of progress in learning.

This paper deals with the applicability of two recently developed scaling methods to the problems of describing learning progress. The growth of 'internal representations' is studies in a number of experimental situations of greater or lesser complexity. These situations are: the image of a city, the learning of word matrices, the relations between animal species and members of a family, and the identification of complex sounds. The results show that scaling methods may be used to gauge the acquisition and stabilization of complex information in human memory.