Abstract
We have developed the system that classifies the problems in school mathematics for criterion-referenced evaluation into each viewpoint of learning situation by using neural network. We classified the school mathematics problems in four viewpoints for the criterion-referenced evaluation by using this system. The following matters were clarified; (1) As for the specialists of mathematics education, the average of the identification rate in this system is 84.6% and the system is highly accurate. (2) As for the novice of mathematics education, the average of the identification rate when using this system is higher 11.4% than not using this system. (3) The average of the identification rate using this system is 36.4% higher than using a multiple discriminant analysis. As a result, by using this system, the teacher was able to classify the problems of school mathematics into four viewpoints of the evaluation more accurately.
