Curriculum Evaluation Model of Vocational Education Based on Big Data

Abstract

Curriculum is the basic carrier to achieve the goal of talent training. Therefore, based on the perspective of work study combination, “project curriculum“, “action oriented curriculum“ and other curriculum theories of higher vocational education have become a hot spot in the field of higher vocational education research in recent years. This paper is based on the big data analysis of higher vocational colleges professional evaluation neural network model and research, in-depth analysis of the major setting of Higher Vocational Colleges important factors. In this paper, through the detailed investigation and consultation of some vocational education experts, teachers and enterprise personnel, combined with the requirements of the relevant management documents of the Ministry of education. This paper constructs a scientific evaluation index system for specialty setting and adjustment, and collects a large number of professional sample data according to the index system for simulation experiments. The results show that big data and BP neural network model are used to evaluate specialty setting and adjustment, and the subjective factors affecting specialty setting and adjustment are excluded. The results of this study have a certain reference value for the research of vocational education curriculum evaluation model.