Exploration on Reform Path of Psychological Ideological and Political Teaching in Colleges and Universities under Background of Big Data

The course of psychological ideological and political education (PE) is a compulsory course for higher education. However, in the process of implementing psychological ideological and political education, teachers' teaching methods are too rigid, teaching knowledge points are too monotonous, and students' learning and understanding level is low, leading to poor teaching conditions. In the current psychology and ideological and political classroom teaching in colleges and universities, the values of college students are seriously affected by the network culture, but also by the impetuous social environment. In the context of the continuous innovation of information technology, how to make psychological ideological and political education highly fit with information technology is an urgent problem in front of teaching workers. The experiment shows that for a long time, the attention of traditional psychological ideological and political teaching classroom activities is relatively low, and the school's attention to classroom activities is only 65%. Teachers only teach by infusion, but the classroom activity rate based on big data is as high as 96%. With the support of big data technology, psychological ideological and political education in colleges and universities can realize personalized, modern and interactive teaching. In the big data environment, colleges and universities should actively guide students to develop in a positive and healthy direction, promote college students to become adults, and achieve high-quality development of psychological ideological and political education.