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

doi:10.13438/j.cnki.jdzk.2026.04.012

Abstract

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

WANG Xingxin. Effect of Generative Artificial Intelligence on Graduate Students' Research and Innovation Ability:A Chain Mediating Model[J]. Journal of Jishou University(Natural Sciences Edition), 2026, 47(4): 84-89.

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