Author Biography
Kun Gao, Doctor, Professor, graduate supervisor, director of Ningbo Computer Association, has accumulated profound research results in big data. He obtained a master's degree from Jilin University in 1999, a doctor's degree from Donghua University in 2006, won the support of outstanding young teachers of Zhejiang Provincial Department of education in 2007, the third prize of scientific research achievements of Zhejiang universities in 2009, and the second prize of military scientific and technological achievements in 2010. He is the chief expert of Ningbo Township informatization construction science and technology consulting team. In recent years, he has participated in and presided over a number of national, provincial and municipal level scientific research projects, and is a member of IFSA, iccit, qshine and aigc and other international academic organizations and the initiator of academic seminars.
Book Description
In this study, in order to facilitate the study, operability and availability of data support materials, the case study method is used to carry out the study. Compared with other majors in the specialty structure, AI (like) majors are typical in terms of development scale and change speed. In particular, to meet the needs of intelligent economy and industrial revolution, the positive measures taken by AI (like) majors in the specialty structure adjustment have played a good role and effect. Therefore, taking the structural adjustment of artificial intelligence (category) specialties as a case, this paper analyzes its ideas, methods and characteristics in the structural adjustment of specialties, with a view to explaining how higher vocational education can better serve the industrial development in theory and practice. This is of great practical significance and theoretical value for discussing the research on the structural adjustment of specialties in higher vocational colleges in China, and for building an industrial structure suitable for economic construction, It is of great significance to cultivate modern high-quality technical and skilled personnel, optimize the professional structure of higher vocational education, and promote the improvement of talent training quality in higher vocational colleges.