Strategies for Improving Quality Management of Talent Cultivation Through Artificial Intelligence in Private Universities in GuangXi

Abstract

The objectives of this research were: 1) To study the level of quality management of talent cultivation through artificial intelligence in private universities in Guangxi; 2) To study strategies for improving the quality management of talent cultivation through artificial intelligence in private universities in Guangxi; 3) To evaluate the strategies of improving quality management of talent cultivation through artificial intelligence in private universities in Guangxi. The sample were 621 teachers and full-time students from 3 private universities, the research tools include: 1) questionnaire survey, 2) structured interviews, 3) feasible strategy evaluation. Research data analysis includes percentage, average, standard deviation and content analysis.

The research results show that: The level of quality management of talent cultivation through artificial intelligence in private universities in Guangxi in overall is at medium level. For improving the quality management of talent cultivation through artificial intelligence in private universities in Guangxi, the strategies contain four aspects: 1) quality objective strategies for talent cultivation, 2) quality assurance strategies for talent cultivation,3) quality improvement strategies for talent cultivation. The feasibility evaluation results of the strategies are at high level.