Scholarlink

<p>The rapid proliferation of generative artificial intelligence (GenAI) technologies is reshaping global higher education ecosystems, but the factors driving student adoption in culturally distinct contexts such as China remain understudied. By integrating the technology acceptance model (TAM), trust theory, and the theory of planned behavior (TPB), this research identifies key determinants of GenAI adoption among 5,380 university students across 28 Chinese provinces through structural equation modeling. The results demonstrate that perceived usefulness (β = 0.442) and trust (β = 0.217) are the primary predictors of adoption intentions, while cultural dimensions such as collectivism and institutional trust significantly moderate the impact of subjective norms and risk perceptions. Notably, price sensitivity exerts a nonlinear inhibitory effect on adoption behavior (β = 0.227), compounded by substantial regional disparities—utility sensitivity in eastern China surpasses that in western China by 23%. The findings challenge established Western models by underscoring the pivotal mediating role of trust in the relationship between technological utility and adoption intentions while revealing a cultural phenomenon of “risk decoupling”, where ethical concerns exert weaker behavioral constraints in high-usage contexts. These theoretical advancements provide actionable insights for policymakers and educators navigating the integration of GenAI across heterogeneous educational systems.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Perceptions, adoption intentions, and impacts of generative AI among Chinese university students

  • 期刊论文

  • 发表日期：

    2025年5月22日

查看全文
  • Renjing Zhang,
  • Jing Wang

摘要

The rapid proliferation of generative artificial intelligence (GenAI) technologies is reshaping global higher education ecosystems, but the factors driving student adoption in culturally distinct contexts such as China remain understudied. By integrating the technology acceptance model (TAM), trust theory, and the theory of planned behavior (TPB), this research identifies key determinants of GenAI adoption among 5,380 university students across 28 Chinese provinces through structural equation modeling. The results demonstrate that perceived usefulness (β = 0.442) and trust (β = 0.217) are the primary predictors of adoption intentions, while cultural dimensions such as collectivism and institutional trust significantly moderate the impact of subjective norms and risk perceptions. Notably, price sensitivity exerts a nonlinear inhibitory effect on adoption behavior (β = 0.227), compounded by substantial regional disparities—utility sensitivity in eastern China surpasses that in western China by 23%. The findings challenge established Western models by underscoring the pivotal mediating role of trust in the relationship between technological utility and adoption intentions while revealing a cultural phenomenon of “risk decoupling”, where ethical concerns exert weaker behavioral constraints in high-usage contexts. These theoretical advancements provide actionable insights for policymakers and educators navigating the integration of GenAI across heterogeneous educational systems.