Research on the Construction of Funded Students Portrait in Universities Based on Data Visualization

With the development of artificial intelligence, the funding work in universities is gradually moving towards intelligence, precision, and diversification. It is necessary to utilize big data technology to explore the process evaluation and comprehensive evaluation of moral, intellectual, physical, aesthetic, and labor education. This article studies the funded student portrait system, which consists of two parts: a student data integration platform and a “Five-Dimensional” portrait model. The data integration platform comprehensively presents students’ household income and expenditure, consumption factors, behavioral habits, and more, providing data support for universities to carry out precise identification and review of family economic difficulties, and to provide precise subsidies. The “Five-Dimensions” portrait is based on an analysis of the “Five Education” literacy index for students, which includes morality, intelligence, physical fitness, aesthetics, and labor. It aims to support universities in promoting personalized education plans and enhancing students’ overall abilities. And it will improve the collaborative funding and education abilities of all staff. Additionally, it will help construct an accurate and comprehensive funding and education loop, and expand the meaning of all-round education.