Soft-computing aspects of mapping and assessment issues in pedagogical text generation

Aspects of soft computing with respect to generating pedagogical tests are discussed in this paper. It shown that, a co-working of a process of case-based reasoning based on using global distance function, and a genetic algorithms equipped with a radial basis function neural net as estimator, will need to the situation where optimal cases can gradually be shaped for different situations in the learner as the user of the pedagogical text.