An Empirical Study of Quality Evaluation in Vocational Education: Based on the Culture of Big Data

Abstract

At present, with the rapid development of artificial intelligence big data technology, its application scope is more and more extensive. As an emerging means of modern data analysis and management, it also creates feasible conditions for all kinds of education quality assessment. Based on this, this study takes the quality evaluation of vocational education as an example, analyzes the necessity of the application of big data technology, and then explains its advantages and characteristics in the quality evaluation of vocational education, which can effectively expand the scope of data collection and improve the evaluation efficiency, as well as the three goals of improving the efficiency, improving the standardization and improving the objectivity. Based on the comprehensive understanding of the relevant situation, combined with the current vocational education practice analysis of specific technical application steps, in order to effectively improve the quality of vocational education evaluation effect, promote the high quality development of vocational education.