Training of Digital Media Art Talents in the Era of Digital Full Connection Intelligence

Abstract

It is a blank of traditional education to cultivate new compound artistic design and creation talents with both technology and art, and it is also an urgent need for the rise of emerging industrial markets. The training of students majoring in digital media in universities focuses on the field of art design, and the lack of technology makes this kind of students lose their advantage in the employment field and market demand. In this article, data mining (DM) technology is used to extract implicit and useful knowledge from the data of digital media talents, to explore the development and management rules of talent development in the direction of CAD interactive design, and then to explore a new mode of digital media talents training in the era of digital full-connected intelligence. The results show that, compared with the traditional methods, the accuracy of the information mining algorithm for digital mediaists in this article is improved by 22.64%. Universities should change the traditional instructional mode of digital media talents, and cultivate a group of digital media talents suitable for social needs through the structure of strategic education and the countermeasures of cultivating comprehensive quality and ability.