Research on Talent Cultivation Mode of Vocational Education in the Context of Information Technology

Abstract

This paper mainly analyzes the educational level of vocational education in the context of information technology from the perspective of matching degrees of vocational education specialty settings and talent demand. Combined with the framework of vocational education service supply under information technology, the SARIMA-BP model is utilized to predict the demand for talent training, and then the match between the professional setting and the education level is explored in a quantitative description. The PSO algorithm is used to optimize the linear combination prediction model of the SARIMA-BP neural network, and the prediction accuracy is compared. The degree of vocational education development and talent cultivation mode are analyzed from four aspects. According to the division of secondary vocational school graduates according to the three industries, the proportion of graduates from Guangdong’s primary industry decreased by 0.1053, and the proportion of graduates from the secondary industry decreased by 0.0123. At the same time, the proportion of graduates from the tertiary industry increased by 0.0243. It can be seen that, to cope with the change of industrial structure in the context of information technology, secondary vocational education should adjust the relevant specialties offered to upgrade the industry’s development and the market’s need for the Talent cultivation mode.

Keywords

• sarima-bp model
• pso algorithm
• demand forecasting model
• vocational education
• 00a35