[Retracted] Evaluation and Analysis of College Students’ Mental Health from the Perspective of Deep Learning
Table 1
Features of deep learning.
Based on real and complex problem situations
Deep learning emphasizes the testing of the mental health of college students in many aspects. Only when students are based in a real and complex situation will they show the truest mental state, so as to more accurately evaluate the mental health of college students
Based on dialectical thinking
Deep learning emphasizes that when evaluating and analyzing the mental health of college students, it is necessary to link the previous mental health problems of the students and to maintain a dialectical thinking about the mental health problems of the students and form their own knowledge system and logic structure
Emphasize the integrated processing of information
Deep learning emphasizes that when evaluating and analyzing college students’ mental health data, it is necessary to combine multiple indicators, multiple information data, and in-depth processing to grasp the structure and diversity of mental health as a whole. It is helpful to cultivate students’ holistic view and connection view, and the results are more accurate when evaluating and analyzing the mental health of college students
Pointing to a higher-order state of mind
Deep learning emphasizes that the evaluation and analysis of college students’ mental health problems should not only focus on the surface of the results but also pay attention to the reasons behind the results, identify the root of the problem, and break through to a higher level of thinking
Transfer of intentional knowledge
Deep learning emphasizes the need to learn the transfer of knowledge when evaluating and analyzing the psychological problems of college students. When facing students with mental health problems, it is necessary to combine a variety of knowledge for analysis and apply the learned knowledge to solve problems in different situations. Cultivate the ability to link theory with practice, to learn from one another, and to be flexible and creative