Informatization Innovation Practice of Labor Education in Colleges and Universities in the New Era

Abstract

Abstract This paper discusses the informationization innovation practice of labor education in colleges and universities in the new era, focusing on the Analysis of labor education test question correlation mining and learning situation clustering. It is found that students make more mistakes in the knowledge point of “ideological cognition”, and if they make mistakes in this knowledge point, they are also prone to make mistakes in other knowledge points. The academic clusters were categorized into excellent learners, average learners and risky learners, in which the average classroom participation score of exceptional learners was 10.26, and the average classroom quiz score of intermediate learners was 16.99. Correlation analysis shows that the correlation between attendance and assignment score is 0.73, the correlation between video viewing length and number of labors is 0.66, and the correlation between classroom activeness and quiz scores is 0.49. These data emphasize the critical role of information technology teaching in enhancing the learning effect, and reveal the problem of insufficient self-learning ability of some students.