The Application of Big Data in Higher Vocational Education Based on Holland Vocational Interest Theory

摘要

Students want to find major or profession that they are really interested in. However, most of them do not know how to make the decision. The VPI and SDS scales, which have been widely applied basing on Hollander's vocational interest theory, can help students to find the interest. However, the self-report scale has its own limitations. By means of constructing integration platform and standard database, we gain student behavior data in daily educational activities. Digging out the valuable part in these data and find the intrinsic link between the students' behavior, we can build students' growth behavior model, and predict the future development trend, which provides scientific guidance for school education. In this case, we can promote the construction of a more reasonable management system and more personalized curriculum system.