Research on the Intelligent Framework of High-frequency Data Algorithms Assisting College Students' Legal Awareness Cultivation

In this paper, the CAViaR model based on high-frequency data modeling is extended to high frequency, and a mixed-frequency data sampling MV-CAViaR model combining high-frequency and low-frequency data is constructed. This paper puts forward several ways and methods to strengthen the cultivation of college students' legal awareness, including: creating a good social environment that the whole society pays attention to; strengthening and improving the legal education in schools and enhancing the subjective initiative of college students, so as to promote quality education in colleges and universities and the process of improving the legal quality of citizens, promote the creation of a good social environment under the rule of law, and accelerate the construction of a socialist harmonious society.