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Exploring Pathways to Enhance College Students’ Psychological Resilience and Well-Being Using Large Language Mode

Author(s)

Lili Deng1, Chaomin Gao2, Hanmei Chen2,*

Affiliation(s)

1Student Affairs Office, Baise University, Baise, Guangxi, China 2School of Business Administration, Baise University, Baise, Guangxi, China *Corresponding Author

Abstract

In response to the challenges that college students currently face in improving their resilience and well-being and the limitations of traditional support models, this study uses literature analysis and theoretical deduction methods to systematically construct an intelligent and personalized support path framework, aiming to use large-scale language models to promote college students' resilience and well being. The framework is student-centered and relies on personalized interactive accounts and dynamic learning personal knowledge bases to design core support paths covering cognitive behavioral adjustment, positive resource cultivation, psychological skills training, and multimodal emotional insight and crisis warning. The study also explores the key guarantee conditions required for the implementation of this framework, including core technology, scientific content, ethical safety, and application promotion, and emphasizes that through responsible design, adherence to the principles of ethics first and human-computer collaboration, large-scale language models are expected to become an effective auxiliary tool for improving college students' mental health and well-being, and contribute to the cultivation of a more adaptable next generation.

Keywords

Large Language Model; College Students; Psychological Resilience; Happiness; Intelligent Psychological Intervention

References

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