The Application of Adaptive Analytic Hierarchy Process Driven by Multisource Big Data in the Training of School-Enterprise Joint Engineering Ability

Abstract

The Chinese government has pointed out in relevant literature that by 2020, China is in short supply of high-level innovative technology talents, and China’s engineering education will face unprecedented challenges. Based on the needs of China’s future economic development, the Ministry of Education urgently launched the “Excellent Engineer Education and Training Program” in 2010, which aims to cultivate a large number of solid theoretical foundations, strong practical skills, and high innovation capabilities for the industry, the world, and the future. An outstanding engineer is the one who can quickly adapt to the needs of economic and social development. The program is divided into three levels of undergraduate, master, and doctoral training. The undergraduate level focuses on training in a series of high-quality applications capable of not only being competent in the management and marketing of the production site but also in the design, development, and operation of engineering projects. Talent: to achieve this training goal, the in-depth cooperation between schools and enterprises has become the key. In order to achieve the undergraduate-level training goals of the “Excellence Program,” various local colleges and universities have adopted the method of school-enterprise cooperation, combined with their own school positioning, trying to explore a training path suitable for their own development. This research takes China’s local application-oriented universities as the research object and uses the literature method to sort out and summarize the status quo of the school-enterprise cooperation in training outstanding engineers in China’s local application-oriented universities. Select two different application-oriented universities located in areas with large economic development gaps, analyze their common problems, and try to put forward countermeasures and suggestions.