Intervention Methods of College Counselors on Students’ Psychological Crisis under the Background of Deep Learning

Abstract

In order to quantitatively evaluate the effect of college counselors’ intervention methods on students’ psychological crisis, an evaluation model of college counselors’ intervention methods on students’ psychological crisis based on the deep learning model is put forward. The learning model function of college counselors’ intervention in students’ psychological crisis is constructed. By using the joint statistical feature analysis method, the dynamic factor analysis of college counselors’ intervention in students’ psychological crisis is established, and the machine learning model of college counselors’ intervention in students’ psychological crisis is constructed. By using the methods of big data fusion and correlation dimension feature analysis, combined with a fuzzy C-means clustering algorithm, the reliability evaluation of college counselors’ intervention on students’ psychological crisis and the construction of a large database are realized. By using the deep learning model, the parameters of college counselors’ intervention model on students’ psychological crisis are optimized and analyzed, and the methods of college counselors’ intervention on students’ psychological crisis are optimized and designed. The test shows that it is reliable and expandable to use this method for college counselors’ intervention in students’ psychological crisis, and it can establish the applicable technology of knowledge network to realize the correct intervention of college counselors in students’ psychological crisis.