Abstract
The educational aspect on dynamics of machines and components has been an important part in the process of training mechanical engineers. Many authors have therefore written textbooks on dynamics and related fields by making use of their experiences. Such expertise is based on their experience, and contents of their textbooks were not clarified quantitatively in the past due to the lack of methodology in analyzing the texts. In recent years, however, some theoretical methods are proposed to quantify text data in such fields. One of the methods is ISM (Interpretive Structural Method), where structure of ambiguous system is well visualized. The other one is a text mining that is one of applications of data mining methods. The text mining attempts to obtain information from text, which is derived by devising patterns and trends through means such as statistical pattern learning. Text mining usually involves the process of structuring the input text within the data. Discussions are made to study feasibilities of using these methods in dynamics engineering education.
