An Assessment Model of Digital Literacy for the Students in Vocational Education Based on Principal Component Analysis in Machine Learning

The deep integration and development of advanced manufacturing and modern service industries, the new power, vitality and potential stimulated by the formation of new models, new business models and new scenes that keep emerging, all put forward higher requirements for the overall improvement of the digital literacy of the technical talents of enterprises, especially the high-level technical skills of enterprises. In this paper, 34 basic elements of digital literacy of the students in vocational education are initially condensed by using literature research method, and then 20 constitutive elements are further determined through expert consultation; through the main factor analysis method, 4 main common components of digital literacy of the students in vocational education based on principal component analysis in machine learning were calculated, and an assessment model of digital literacy of vocational education students is established.