SKILLS AND KNOWLEDGE STRUCTURES

Autor(en): DUNTSCH, I
GEDIGA, G
Stichwörter: Mathematics; Mathematics, Interdisciplinary Applications; Psychology; Psychology, Experimental; Psychology, Mathematical; Statistics & Probability
Erscheinungsdatum: 1995
Herausgeber: BRITISH PSYCHOLOGICAL SOC
Journal: BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY
Volumen: 48
Ausgabe: 1
Startseite: 9
Seitenende: 27
Zusammenfassung: 
Suppose that Q is a set of problems and S is a set of skills. A skill function assigns to each problem q - i.e. to each element of Q - those sets of skills which are minimally sufficient to solve q; a problem function assigns to each set X of skills the set of problems which can be solved with these skills (a knowledge state). We explore the natural properties of such functions and show that these concepts are basically the same. Furthermore, we show that for every family K of subsets of Q which includes the empty set and Q, there are a set S of (abstract) skills and a problem function whose range is just K. We also give a bound for the number of skills needed to generate a specific set of knowledge states, and discuss various ways to supply a set of knowledge states with an underlying skill theory. Finally, a procedure is described to determine a skill function using coverings in partial orders which is applied to set A of the Coloured Progressive Matrices test (Raven, 1965).
ISSN: 00071102

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