基于大语言模型的职业院校区域间发展差异比较研究OA北大核心

Given China's vast territory and unbalanced economic development,identifying the differences in the performance of vocational education across regions is of great significance for scientifically coordinating the high-quality development of vocational education nationwide.In this paper,we use the large language model ChatGPT,and invoke its API through the program Python to construct the ontology relationship of the annual quality reports issued by vocational colleges in Beijing and Gansu Province.The similarities and differences between the two regions in personnel training and the industry-education integration are analyzed.The results showed that Beijing,with its abundant educational resources,places more emphasis on the investment in key resources such as teaching teams and curriculum settings to enhance the construction level and innovation capability of vocational colleges.In contrast,Gansu focuses more on ensuring the quality of students'learning and the practical skills needed for employment,aiming to cultivate practical talents that meet the local socio-economic development needs.