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.

Highlights

  • In this new era, as the modern education is developing constantly, our society has posed more urgent requirements for college graduates, and modern education institutions have attached greater attention to the training works and training quality of college students [1,2]

  • To solve the various defects existing in the training process of digital media majors and improve the training quality, many field scholars have conducted a series of studies from multiple perspectives, and their iJET ‒ Vol 16, No 17, 2021

  • Liu et al [9] analyzed problems existing in current digital media major training modes and analyzed a new mode from a few aspects such as the cultivation of practical and innovative ability, the construction of curriculum system, and the analysis on the characteristics of the discipline, and their study is of good reference value

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Summary

Introduction

As the modern education is developing constantly, our society has posed more urgent requirements for college graduates, and modern education institutions have attached greater attention to the training works and training quality of college students [1,2]. Due to the continuous development and changes of the society, more influencing factors should be taken into consideration during the implementation of the training mode of digital media majors, in particular, some factors contain uncertain information, and this requires researchers to measure the training mode of digital media majors in a scientific and reasonable manner, and a set of systematic measurement systems and models have become a necessity for assisting the healthy development of the training mode of digital media majors. The research content of this paper consists of 5 parts: the first part gave an overview of the research content of college student cultivation in the context of the new era; the second part analyzed a few defects existing in the training process of digital media majors; the third part discussed several strategies and paths for the implementation of the training mode of digital media majors; the fourth part studied the performance analysis of the training mode of digital media majors, and gave the corresponding EIS and the multi-attribute fuzzy performance analysis model; the fifth part is the research conclusion

Unclear training goals
Incomplete curriculum system
Theoretical learning is detached from practice
Limited basic inputs
Outdated course teaching process
Update teaching ideas and enhance teaching effect
Compile classic textbooks and form a demonstrative course system
Optimize the training system of digital media majors
Reform and innovate the training works
Indicator selection principles
Content of the EIS
Indicator normalization
Indicator weight
Process of the multi-attribute fuzzy performance analysis
Conclusion
Authors
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