Li Ruihua, Ouyang Sha, Lin Jianwei
Faculty of Basic Education, Putian University, Putian, Fujian, China.
The College of Marxism, Shaanxi Railway Institute, Weinan, Shaanxi, China.
BMC Psychol. 2025 Apr 30;13(1):454. doi: 10.1186/s40359-025-02757-2.
As artificial intelligence (AI) technology quickly grows, college students have new worries and fears. Using Marx's theory of labour alienation, this study explores the complex relationship between college students' job-seeking anxiety (JSA) and career self-efficacy (CSE) in the context of the AI era. A structural equation modeling (SEM) study of data from 455 Chinese students indicates that CSE adversely affects JSA. Moreover, AI attitudes (AIA) and AI literacy (AIL) play significant mediating roles in the relationship between career self-efficacy (CSE) and job-specific anxiety (JSA). Specifically, these factors help explain how CSE influences JSA by fostering positive perceptions of AI and improving students' understanding of AI technologies. The findings underscore the importance of cultivating positive attitudes toward AI, enhancing AI literacy, and strengthening career self-efficacy to reduce job-seeking anxiety and better prepare students for the challenges of an AI-driven job market. These observations provide significant implications for educators and policymakers in developing interventions to enhance students' career preparedness and protect their mental health during technological changes.
随着人工智能（AI）技术的迅速发展，大学生产生了新的担忧和恐惧。本研究运用马克思的劳动异化理论，探讨了在人工智能时代背景下，大学生求职焦虑（JSA）与职业自我效能感（CSE）之间的复杂关系。一项对455名中国学生数据的结构方程模型（SEM）研究表明，职业自我效能感对求职焦虑有负面影响。此外，人工智能态度（AIA）和人工智能素养（AIL）在职业自我效能感（CSE）与特定工作焦虑（JSA）之间的关系中发挥着重要的中介作用。具体而言，这些因素有助于解释职业自我效能感如何通过培养对人工智能的积极认知和提高学生对人工智能技术的理解来影响求职焦虑。研究结果强调了培养对人工智能的积极态度、提高人工智能素养以及增强职业自我效能感以减少求职焦虑，并使学生更好地应对人工智能驱动的就业市场挑战的重要性。这些观察结果为教育工作者和政策制定者制定干预措施以提高学生的职业准备度和在技术变革期间保护他们的心理健康提供了重要启示。
