Method to Detect Change of Motivation to Enroll in University by Survey of Career Perceptions

In this paper, we propose a method of data mining in education to solve the following problems. As one of the problems in university, there is tendency to increase the dropout students, since many high school students did not have clear reason to enroll in university. To decrease them, in the high school, teachers have to change their career perception and to increase their motivation to enroll in university. To perform these educations effectively, it is desirable for teachers to make the instructional design, after teachers appropriately grasp the change of student's career perception depending on the student's characters. Therefore, we propose a method to solve the above issue by using Support Vector Machine (SVM) and calculating gradient. Specifically, we use the independent variables as career perceptions and dependent variables as motivation to enroll in university to construct SVM. Moreover, by calculating gradient of a function for motivation provided by SVM, we get direction vector to increase their motivation. By performing instructional design following the obtained direction vector, it is desirable to increase the student's motivation to enroll in university. Moreover, we describe the prototype of the system to which we applied our proposed method.