Forest Learning Method for Chemical Education

Abstract

MART(multiple additive regression trees)is one of the potent classification and regression machine and it has a special characteristic point that the more we go slowly, the more we quickly reach to the destination. This is a paradox in the field of machine learning. However, if we could apply this concept to the education of chemistry, we should have much benefits for both students and teachers. Therefore, we tried both the mindmap by Tony Buzan and the panorama (expansion of thoughts diagram by Y.Hatamura+ image) in the Science Partnership Program, class A (by JST) because both methods have adopted the way for understanding the whole image by adding multiple small questions and answers or arranging the whole components to solving problems. After participants tried such methods for expressing their interpretation on oxidation-reduction or thermochemical equation and so on, we heard their opinion towards such methods. And we took relatively good reaction from them.