What is Structured Learning Theory?
Structured learning theory understands learning in terms of the dynamics of the individual. It measures learning as the change in the behavioral equation between the before and after measurements. This is expressed in changes in both the behavioral indices (loadings) and factor scores. This is a vector measure as distinct from the scalar quantities used in classical learning theory. Structured learning is part of the dynamic calculus, which means that it embraces decision theory, the measurement of conflict and, by the use of matrix algebra, the complex learning in everyday life situations. The total learning in a situation is represented by the change in the factor pattern that represents the dynamic lattice.
Structured Learning Theory is a radical departure from the current Pavlov-Watson-Skinner system. The latter represents learning change as a scalar quantity: structured learning represents learning gain as a vector quantity. The vector is the difference of loadings on a series of ability, personality and motivation factors between a pre and a post learning behavioural equation obtained by factor analysis.
