No CrossRef data available.
Article contents
Intervention of intelligent social patterns combined with cognitive psychology on social disorders in college students
Published online by Cambridge University Press: 27 October 2023
Abstract
Social anxiety disorder is a common mental disorder characterized by concerns about being evaluated, denied, or embarrassed in social situations. In recent years, with the increasing number of college students born in the 2000s, social anxiety disorder has shown an upward trend, which has a negative impact on their mental health and social function.
In order to better help the post-00s college students to deal with social anxiety disorders, the research combines intelligent social mode and cognitive psychology. Intelligent social networking mode uses computer and Internet technology to provide a virtual social environment to simulate real social situations. Cognitive psychology intervention focuses on individual thinking, beliefs and cognitive strategies, and helps to reduce social anxiety by adjusting negative thinking patterns and establishing positive self-evaluation.
According to SPSS23.0 analysis, intelligent social mode can provide students with safe and controllable practice opportunities for those with social anxiety disorder, and reduce fear and discomfort in real social situations. In addition, 68 percent of the participants believed that the cognitive psychology intervention can help them adjust their negative thinking and increase their confidence.
Intelligent social model combined with cognitive psychology intervention method can not only relieve participants’ anxiety in social situations, but also promote their self-growth and mental health development. The results show that this method can help promote the mental health development of “post-00 s” college students, help them better adapt to and integrate into the social environment, and improve their quality of life and happiness.
2021 Guangdong University Ideological and political education project (No. 2021GXSZ040).
- Type
- Abstracts
- Information
- Copyright
- © The Author(s), 2023. Published by Cambridge University Press