The application of big data and artificial intelligence in the construction of teacher teams in vocational undergraduate education

Abstract

The rapid development of electronic data processing and Internet technology has promoted the geometric growth of data and information. In the past 2 years, the data generated globally has reached 90% of the total human data, indicating that human beings have entered the era of big data. The application of big data technology in the field of teacher team building is also a new trend. In addition, the emergence of intelligent education has triggered an educational reform that subverts the tradition. People are no longer limited to the old-fashioned teaching mode. Props are not just blackboards and chalk characters. It is also a research trend to use artificial intelligence technology to improve the level of intelligent education for teachers. Vocational undergraduate education teachers shoulder the important mission of cultivating people through morality, and it is particularly important to build a team of high-quality and high-quality teachers in the new era. Through the investigation of the teaching team of vocational undergraduate education in a school, this paper finds that there are insufficient number of teachers, poor stability of the teaching team, professional fatigue of teachers, and limited self-improvement of teachers in the construction of the teaching team of a school. And in response to these problems, combined with big data and artificial intelligence technology, the strategy of emphasizing curriculum, promoting social participation, and strengthening the self-construction of vocational undergraduate education teachers is proposed. By solving these problems, it will help to implement the requirements for the emotional cultivation of vocational undergraduate education, help teachers’ self-growth, and help to implement the fundamental task of cultivating people through virtue.