LAUSR

As an important part of China's higher education, higher vocational education occupies an extraordinarily important position in China's higher education system. In order to clarify the literacy of higher vocational students, carry forward their excellent quality, and correct their bad habits, a quantitative evaluation and optimization decision-making research on the cultivation of humanistic literacy of higher vocational students based on data mining technology is proposed. By using data mining technology, the important data of students can be obtained quickly; by using advantages of information integration, the cultivation of humanistic quality of higher vocational students is evaluated from a correct perspective; by strengthening the education of campus culture construction, students' moral quality can be enhanced, students' enthusiasm for learning can be mobilized, the advantages of new media's public opinion orientation can be given full play, and a humanistic and healthy growth environment for vocational students can be created. Through experiments, it is proved that data mining can better evaluate the humanistic quality of students. During the learning process, the humanistic quality evaluation of female college students reaches 95%, and the overall quality of male and female gradually rises to 80%.