Analysis of Vocational Education Governance Model Innovation and Its Sustainable Development Path Based on Weighted Clustering Algorithm

Abstract

The article conducts an in-depth study on vocational education governance and proposes weighted clustering algorithm for vocational education information fusion through clustering criterion and entropy weight method. It further proposes a dynamic weighted clustering algorithm for fusion clustering of vocational education information. Thus, the governance model and sustainable development path of vocational education are explored. The effect of the innovation of vocational education governance model in this paper is obtained through the pre- and post-test data of students' academic conditions, independent sample t-test and evaluation of governance effect. The students' academic conditions in the six dimensions have been improved substantially, and there is a significant difference after the independent sample T-test. The scores of this paper's vocational education governance model and path based on the weighted clustering algorithm on the guideline level indicators (goal planning and policy adaptability, resource guarantee and allocation efficiency, process management and operational effectiveness, result output and quality level, sustainable development and social reputation) are within the interval of [73.258, 75.768], which has a good governance effect.