Research on the Influencing Factors of Teaching Ability of Textile University Professional Teachers under the Combination of Teaching and Big Data Information--Taking Dalian Polytechnic University as an Example
Xiaona Bao, Chuan Hong Xu · 2021
Nowadays, textile professionals in the era of big data do not just meet a skill requirement. Because the business operation model brought about by big data is very different from the past, different positions are not independent of each other, but are interconnected and interdependent, and jointly serve the enterprise information operation system. In this respect, the professionalism and diversification of teachers' teaching abilities are the core and key to the development of higher education institutions. With the progress of the times, the rapid development of higher education in China, among the many factors that affect the teaching quality of colleges and universities, the teaching ability of professional teachers is an important factor. The teaching ability of college teachers is of great significance to the development of china's education and the growth of students[1]. This research combines the analysis of big data informatization with textile professional teachers as the research object. Through the sorting and analysis of teaching combined big data, the current situation of the teaching ability of textile teachers in my country is found, and the form of data analysis is used to find out the influence of textiles[2]. Influencing factors of professional teachers' teaching ability, scientifically and effectively find effective strategies for the development of professional teachers' teaching ability in my country's colleges and universities.