APPLICATION OF ANALOGICAL REASONING AND EXTRACTION OF TUTORING RULES FOR CONCEPT-FORMATION LEARNING

The concept formation in humans is made through a process where the co mmon items and rules in the observed events are extracted. The observe d events may contain an event which is not consistent with the already formed concept, In such a case, the modification or restructuring of the concept takes place and an effort is made toward differentiation o r recombination of the concept. With respect to the process where a hu man forms or acquires a concept, Klausmeier et al. considered the deve lopment of the levels in the concept formation. They defined four leve ls which are the real level, equivalence level, analogy level, and for mal level and discussed the order among the levels. In this study, the inference engine is built into the expert module of ITS and the syste m model to support the concept formation is considered, which contains the intellectual function corresponding to the analogy level. As a do main to handle a realistic problem, a simple transformation of a geome trical figure is considered and the following functions are realized: (1) construction of analogical reasoning engine in the transformation of geometrical figures, (2) construction of the student model which re presents the student's analogical reasoning process, and (3) generatio n of problems based on the student model.