Research on the Construction of College Education Culture Identity Index System Based on Embedded Machine Learning Technology

University culture is an effective way of ideological and political education for college students. The degree of identity of university culture can reflect the construction of university culture and provide a reference for the construction of university culture. This paper proposes that the construction of cultural identity should become the mission and task of the cultural quality education of universities in China in the new era. Chinese cultural identity is the Chinese people’s positive recognition of the most significant attribute of the Chinese national community, and its core is the recognition of its basic value. The objects of cultural identity include both the excellent traditional culture of the Chinese nation and the cultural nature with a sense of the times formed in the process of historical development. Strengthening the cultural identity of college students is the key problem that needs to be solved urgently in the talent training of colleges and universities, and is the core content of moral cultivation and cultural quality education. At present, the study of university culture lacks a quantitative perspective. This paper combines qualitative and quantitative analysis, draws on the Delphi expert survey method, and uses embedded machine learning technology to build a university cultural identity evaluation index system covering six first-level indicators, including value identity, institutional identity, behavioral identity, emotional identity, symbolic identity, and organizational identity. On this basis, empirical analysis is carried out, providing a new perspective for university culture research.