Abstract
This article considers, the problem of a formal representation and identification of an individual's level of knowledge. Knowledge is considered as the systematic structurization of information received in perception. The computer implemented methodology reported here includes • Representation of the initial information (data) in the form of interlinked information structures producing a systematic hierarchical dynamic network. • Relative evaluations of the level of each individual's knowledge in terms of their semantic network's macrosystemic informational complexity (MC). The results of an empirical study utilizing this methodology is reported. 331 high school students from eleven classrooms completed a pair-wise similarity rating task of ten mathematics terms along with a standardized math achievement test. The information contained in the similarity data was given an algorithmic representation, which in turn yielded a minimal spectrum of the information nodes making up a systemic representation in the...
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