Research on the Pathways for Big Model Tools to Empower Long-Term Psychological Development of College Students from the Perspective of Social Support Theory
Year: 2025
Type: article
Abstract: College students' mental health issues have become a focus of social attention. Social support, as an important protective factor for maintaining individual mental health, plays a key role in their psychological development. Based on the perspective of social support theory, this study focuses on the application of big model tools in college students' mental health education, aiming to explore effective pathways for their long-term psychological development. This study analyzes the core limitations of big model tools, including technical data bias, insufficient emotional understanding, and poor interpretability; ethical and legal issues of privacy protection and responsibility definition; and practical integration difficulties and audience acceptance. Based on this, three development paths are proposed: the design of a personalized psychological support system based on big models; the deep integration of university mental health education and big model tools; and the construction of a big model support network for collaborative home-school-community collaboration. At the same time, supporting implementation measures are proposed for policy support and institutional development, technical support and safety protection, and personnel support and team building. An effectiveness evaluation indicator system and dynamic adjustment mechanism are also designed. The study concludes that the integration of social support theory and big model tools is both feasible and necessary. The resulting pathway system can provide new insights into college students' mental health education and warrants further refinement through empirical research and technological development.
DOI: 10.54097/c3qk6614
Author: Jiajia Yuan
Institution: Yancheng Teachers University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4413853501