Profiles of AI anxiety among Chinese public administration students and the predictive role of resilience: A self-determination theory perspective

IF 4.4 4区心理学 Q3 PSYCHOLOGY, BIOLOGICAL

Learning and Motivation Pub Date : 2025-11-01 Epub Date: 2025-10-18 DOI:10.1016/j.lmot.2025.102207

Peizhong Liu

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引用次数: 0

Abstract

As generative artificial intelligence tools increasingly permeate higher education, students face new psychological challenges alongside technological opportunities. Guided by Self-Determination Theory, this study examined patterns and predictors of AI anxiety among 1247 Chinese university students majoring in public administration. Using Latent Profile Analysis, four distinct anxiety profiles were identified: Minimally Affected, Societal Risk-Oriented, Sociotechnical Sensitive, and Hypervigilant. Chi-square tests revealed significant group differences by gender, age, and AI usage frequency. Multinomial logistic regression showed that higher psychological resilience significantly reduced the likelihood of belonging to any elevated anxiety group. These findings underscore the importance of need-supportive learning environments and psychological resources in helping students adapt to AI-enhanced education. The study advances the application of SDT in digital contexts and offers practical guidance for designing inclusive and emotionally supportive AI-integrated curricula.

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中国公共管理专业学生人工智能焦虑与心理弹性的预测作用：自我决定理论视角

随着生成式人工智能工具越来越多地渗透到高等教育中，学生们在面临技术机遇的同时也面临着新的心理挑战。本研究以自我决定理论为指导，对1247名公共管理专业大学生的人工智能焦虑模式及其预测因素进行了研究。使用潜在特征分析，确定了四种不同的焦虑特征：最小影响，社会风险导向，社会技术敏感和高度警惕。卡方检验显示性别、年龄和人工智能使用频率的组间差异显著。多项逻辑回归显示，较高的心理弹性显著降低了属于任何高焦虑组的可能性。这些发现强调了需要支持的学习环境和心理资源在帮助学生适应人工智能增强教育方面的重要性。该研究推进了SDT在数字环境中的应用，并为设计包容性和情感支持性人工智能整合课程提供了实践指导。

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来源期刊

Learning and Motivation Multiple-

CiteScore

2.90

自引率

0.00%

发文量

期刊介绍： Learning and Motivation features original experimental research devoted to the analysis of basic phenomena and mechanisms of learning, memory, and motivation. These studies, involving either animal or human subjects, examine behavioral, biological, and evolutionary influences on the learning and motivation processes, and often report on an integrated series of experiments that advance knowledge in this field. Theoretical papers and shorter reports are also considered.