吉首大学学报(自然科学版) ›› 2026, Vol. 47 ›› Issue (4): 84-89.DOI: 10.13438/j.cnki.jdzk.2026.04.012

• 教育教学 • 上一篇    下一篇

生成式人工智能对研究生科研创新能力的影响——一个链式中介模型

王星欣   

  1. (吉首大学人文学院,湖南 吉首 416000)
  • 出版日期:2026-07-25 发布日期:2026-08-06
  • 作者简介:王星欣(1992—),女,湖南浏阳人,吉首大学人文学院博士后,主要从事用户信息行为研究.
  • 基金资助:
    湖南省学位与研究生教学改革研究一般项目(2025JGYB311)

Effect of Generative Artificial Intelligence on Graduate Students' Research and Innovation Ability:A Chain Mediating Model

WANG Xingxin   

  1. (College of Humanities,Jishou University,Jishou 416000,Hunan China)
  • Online:2026-07-25 Published:2026-08-06

摘要:为了探讨生成式人工智能对研究生科研创新能力的影响及其机制,构建了一个链式中介模型,来考察生成式人工智能、科研创新能力、科研效能感、自主学习动机之间的关系.以高校研究生为调查对象,收集了470份有效问卷,对数据进行处理并作实证分析.结果表明,生成式人工智能显著正向影响研究生科研创新能力;科研效能感和自主学习动机在生成式人工智能与研究生科研创新能力之间不仅分别起单独中介作用,还起到链式中介作用.

关键词: 生成式人工智能, 研究生, 科研创新能力, 科研效能感, 自主学习动机

Abstract: To explore the effect of generative artificial intelligence on graduate students' research and innovation ability and its underlying mechanisms,a chain mediating model was constructed in which generative artificial intelligence impacts graduate students' research and innovation ability through research efficacy and self-directed learning motivations.A total of 470 valid questionnaires were collected from university postgraduate students,and structural equation modeling was employed to empirically analyze the data.The results showed that generative artificial intelligence had a significant positive effect on research and innovation ability of graduate students;research efficacy and self-directed learning motivations played significant separate and chain mediating effect between generative artificial intelligence and graduate students' research and innovation ability.

Key words: generative artificial intelligence, graduate student, research and innovation ability, research efficacy, self-directed learning motivations

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