With the rapid development of generative AI technology,especially the large language model represented by ChatGPT,higher education is facing unprecedented opportunities and challenges.By systematically tracing the development history of generative AI technology,this paper analyzes the current status of its application in education and scientific research.Through literature comparison and case analysis,it is found that generative AI technologies have significant advantages in improving teaching quality,promoting personalized learning and enhancing the efficiency of scientific research,but at the same time,they also raise ethical and legal issues such as data privacy and security,academic integrity and responsibility attribution.The strategies and practices adopted by governments and universities at home and abroad for generative AI technologies are further discussed,and suggestions on improving the level of chemical engineering higher education with generative AI technologies are proposed in terms of top-level design,curriculum system,teaching mode,and potential risks to provide guidance for the cultivation of outstanding chemical engineering talents in the AI era.
维普
万方数据