From Self-help to Transcendence: A Study on the Intervention Mechanism of AI-supported Library Reading Therapy on the Inferiority Complex of Poor Students

Abstract

 Under the background of the popularization of higher education, poor college students, due to multiple factors such as economic pressure, social comparison and resource limitations, generally have varying degrees of inferiority complex, which seriously affects their academic development and personality integrity. The traditional mental health intervention model is confronted with challenges such as limited coverage, obvious privacy concerns and insufficient personalization. This thesis explores the combination of artificial intelligence technology and library reading therapy to construct a new intervention mechanism for the inferiority complex of poor students. The research first analyzes the special manifestations and causes of inferiority complex among impoverished students, and then systematically expounds how AI technology emempower reading therapy to achieve precise identification, personalized matching and dynamic assessment. On this basis, a systematic intervention model including four major links: intelligent recognition and evaluation, personalized resource matching, immersive healing scenarios, and effect evaluation and feedback is designed, and its practical path is illustrated through cases. Finally, countermeasures and suggestions are put forward for potential challenges such as technological dependence, the digital divide, and privacy protection. Research shows that AI-supported library reading therapy can provide low-cost, easily accessible and highly privacy-protected psychological intervention services for impoverished students, helping them achieve psychological growth from "self-help" to "transcendence", and providing a new model for the innovation of mental health education in colleges and universities.