Research on the path of integrating craftsmanship into the talent cultivation process of applied undergraduate universities in the context of big data era

Authors

  • Xuhao Liu, Jiali Wang*

Keywords:

craftsmanship, talent training, neural network, fuzzy evaluation algorithm, education quality assessment model

Abstract

Based on the factors influencing the cultivation of practical talents in colleges and universities in the perspective of craftsmanship, this paper proposes a talent cultivation path based on craftsmanship, which provides some useful ideas and references for both the cultivation of talents in colleges and universities and the study of craftsmanship. In order to verify whether the talent cultivation method of applied undergraduate colleges and universities integrating craftsmanship is effective. A higher education quality assessment model based on the neural network-like architecture and fuzzy evaluation algorithm is proposed, and the basis of activation function selection in the neural network-like architecture, the implementation process of algorithm steps and the specific meaning of algorithm steps are explained. Finally, the learning process data of the students of related majors were selected and analyzed. The scores of "practical ability", "innovation ability", "management ability" and "moral character" of the evaluated classes The overall rating of the class is 80.1, which is an excellent level with reference to the rating guidelines. Therefore, this cultivation path has certain practical significance and theoretical value for the study of cultivating applied talents in colleges and universities under the perspective of craftsmanship.

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Published

2023-07-01

Issue

Section

Articles