Design and Performance Analysis of a Training Mode for Digital Media Majors

Abstract

Under the influence of various factors, it is difficult to achieve a good quality in the training of digital media majors. What is worse, the current performance analysis models for the training quality cannot effectively handle uncertain information. To overcome these problems, this paper tries to design a training mode for digital media majors, and evaluates the performance of the model. Firstly, the defects of the current training modes for digital media majors were summarized in the context of the new era, and the implementation strategies and paths were formulated for improving the effect of the training mode. Further, a novel evaluation index system (EIS) was constructed to evaluate the performance of the said training mode, aiming to effectively assess the implementation effect of the mode. Besides, fuzzy system and grey system theories were fully integrated to build an improved performance analysis model for the training effect of digital media majors. The proposed model can effectively process the fuzzy information, and provide a strong support to the smooth implementation of the training mode for digital media majors. The research results boast profound theoretical and engineering values.