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中国大学生的职业相关心理认知与职业探索行为:生成式人工智能使用在统计间接路径中的作用

Career-related psychological cognitions and career exploration behavior among Chinese college students: statistical indirect pathways through generative artificial intelligence use
Qiang Lu、Jinliang Chen、Hongcheng Wang · Frontiers in Psychology · 2026-11-04

研究信息

期刊 / 来源
Frontiers in Psychology
发表日期
2026-11-04
文献库
OpenAlex
作者
Qiang Lu, Jinliang Chen, Hongcheng Wang
DOI
10.3389/fpsyg.2026.1934479
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英文原文摘要全文

Generative artificial intelligence is changing how college students access career information, understand career opportunities, and prepare for job searching. Drawing on Social Cognitive Career Theory and the Technology Acceptance Model, this study used cross-sectional survey data to examine the relationships among career-related psychological cognitions, generative AI use, and career exploration behavior, and to test statistical indirect relationships through generative AI use. The sample consisted of 1,445 upper-year undergraduates from five universities in eastern China. Confirmatory factor

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