Analysis of the Characteristics of China's Undergraduate Teaching Review and Evaluation Standards based on Artificial Intelligence

Abstract

In the context of artificial intelligence, the Nvivo12 software was used to analyze the word frequency of the national undergraduate teaching audit and evaluation standards, and perform primary coding and mark reference points for the elements in the national audit and evaluation standards. In addition, text analysis of the audit evaluation standards of 8 provinces that are different from the documents issued by the Ministry of Education among the audit evaluation standards of 29 local governments was carried out, and the audit evaluation standards and self-evaluation reports of 33 universities were randomly sampled. From the perspective of organic philosophy, this paper explains the characteristics of China's undergraduate teaching audit and evaluation standards, which provides a basis for the improvement of China's undergraduate teaching audit and evaluation standards.