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AI浪潮下民办高校大学生就业焦虑的影响因素分析

Analysis of Factors Influencing Employment Anxiety among Private University Students in the Context of the AI WaveYe Teng

Psychology of China / 2025,7(9): 1097-1101 / 2025-09-16 9 4

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• Authors: 叶腾
• Information:

  西安培华学院，西安

• Keywords:
  Artificial intelligence; Private universities; College students; Employment anxiety
  人工智能; 民办高校; 大学生; 就业焦虑
• Abstract: The rapid development of artificial intelligence (AI) has intensified employment uncertainty for university graduates. Due to their relatively disadvantaged resource endowments and support systems, students at private universities face particularly prominent employment anxiety. Based on a questionnaire survey of 1, 086 undergraduate students from a private university in western China, this study employs descriptive statistics, correlation analysis, and multiple linear regression to explore the factors influencing employment anxiety among private university students in the context of the AI boom. A three-dimensional influence model encompassing “AI technology cognition, ” “self-efficacy, ” and “support systems” is constructed. Results indicate that perceived AI substitution risk significantly and positively predicts employment anxiety, while AI skill confidence, self-efficacy, and support systems significantly and negatively predict anxiety. The model explains 76.3% of the variance. The study reveals the internal mechanisms of these three categories of factors, providing empirical evidence and practical pathways for private universities to implement targeted psychological interventions and employment support. 人工智能（AI）的快速发展加剧了高校毕业生的就业不确定性，而民办高校大学生因资源禀赋与支持系统的相对弱势，其就业焦虑问题尤为突出。本研究基于对西部某民办高校1086名在校生的问卷调查，采用描述性统计、相关分析与多元线性回归方法，探讨AI崛起背景下民办高校大学生就业焦虑的影响因素，构建了包含“AI技术认知”“自我效能感”与“支持系统”三个维度的影响模型。结果表明：AI替代风险感知显著正向预测就业焦虑，AI技能信心、自我效能感及支持系统则显著负向预测就业焦虑，模型整体解释力为76.3%。本研究揭示了三类因素的内在作用机制，为民办高校开展精准化心理干预与就业支持提供了实证依据与实践路径。
• DOI: https://doi.org/10.35534/pc.0709178
• Cite: 叶腾. (2025). AI浪潮下民办高校大学生就业焦虑的影响因素分析. 中国心理学前沿, 7 (9), 1097-1101.