Emotional Labor and Education Career Development in the Age of Big Data

Abstract

With the development of psychology research field, researchers and educators increasingly pay attention to teachers' emotional labor in the workplace. This paper mainly studies the development of emotional labor language vocational education for university teachers in the workplace in the era of big data. Through the class questionnaire survey, it is found that the emotional labor level of college teachers is significantly higher than the norm of emotional labor of primary and secondary school teachers in China. Positive and negative emotional experience exist simultaneously. Teachers' professional self-identification level and personal sense of achievement are good, and job burnout of different degrees is common. In the process of emotional labor, the deep acting strategy was mainly adopted and the level of emotional labor perception was better. The emotional labor of teachers in colleges and universities can be jointly assisted by enhancing their emotional restraint, clarifying the rules of emotional expression and improving the emotional labor environment.

Keywords

• big data
• college teaching
• emotional labor
• education career development