In recent years, a number of institutions in Taiwan have implemented the policy of “choice of major at the upper level of college” or “Degree Program”. It has become a trend that most of the universities enroll students regardless of department. However, due to lack of motivation of career exploration, and poor recognition of the declaration of major at sophomore or junior year, the major and department finally students chose often dose not exactly match their needs. Therefore, the purpose of this study is to base on students' learning motivation, and then analyze the gap between the motivation and personal personality. After that, an appropriate major is suggested according to students' motivation, they can follow it to choose their major through self-recognition exploration. In this way, chance of choosing a wrong major or occupation will be greatly reduced. Students are able to learn with correct direction of career development.
This research's research base is advanced study class students on Chinese Culture University.By the analysis in this research, it is hoped that uncertainty of students selecting their major can be improved. With the help of data mining model, students' learning motivation can be increased and students will get assistance to find out the best learning direction by reviewing the suggestion. Students will find they then understand more about their personality and learning direction. In summary, result and implementation of this research will assist students precisely make their choice for their future life and exploring themselves. On the other hand, academic staff or teachers can have a solid base to guide students career planning.