The Impact of Artificial Intelligence on the Cultivation of Innovation Literacy among College Students in Guangxi

DOI: https://doi.org/10.62517/jike.202604101

Author(s)

Kangning Huang*, Zhilin Xu, Junjun Huang

Affiliation(s)

Business School, Guilin University of Electronic Technology, Guilin, Guangxi, China

Abstract

In the era of rapidly advancing generative artificial intelligence, the cultivation of college students’ innovation literacy faces unprecedented opportunities and challenges. As the core competency of the "new generation" and the foundation for achieving technological self-reliance, improving innovation literacy has become a vital mission of higher education. Generative artificial intelligence, with its powerful content generation and data processing capabilities, provides effective support for students’ creative stimulation and innovative practices. However, it also brings negative effects such as technological dependence, authenticity issues, and ethical risks. Existing studies mostly focus on technological functionality or pedagogical applications, lacking systematic analyses of the dual mechanisms through which generative AI both promotes and constrains innovation literacy. Integrated strategies addressing “technological dependence” and “ethical challenges” are also scarce. Therefore, this study aims to analyze the double-edged sword effect of generative AI on the cultivation of college students’ innovation literacy from a multidimensional perspective, reveal its positive and negative pathways, identify key influencing factors, and construct a feasible model for collaborative response strategies. The results are expected to provide theoretical foundations and practical references for universities to optimize innovation education design, enhance students’ rational use of AI, and formulate relevant educational policies.

Keywords

Generative Artificial Intelligence; College Students; Innovation Literacy; Cultivation Mechanism; Collaborative Strategy

References

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