Exploration of the Network Literacy Education Model in Colleges and Universities Under the Backdrop of Generative AI

ISSN:3029-2301

EISSN:3029-2328

语言:英文

作者
Dan Qiu,Song Cheng
文章摘要
With the robust emergence of domestic generative AI technologies such as DeepSeek, the educational adaptability of generative AI is undergoing subtle transformations in the realms of content generation, feedback mechanisms, and virtual scenario-based teaching. The multimodal generation and dynamic interaction capabilities of AI tools are reshaping the ecosystem of network literacy education for college students. In contrast, traditional network literacy education, characterized by static content, passive processes, and fragmented scenarios, struggles to cope with today's complex and ever-changing information environment. The reconstruction of network literacy education pathways, with generative AI as the core driving force, has become a focal point in research. This can be achieved through three approaches: dynamically updating educational content, strengthening students' subjectivity and critical thinking, and promoting interdisciplinary collaboration and scenario integration. By transforming the risks inherent in AI technology itself into educational resources, a closed-loop educational model of “countering technology with technology”can be formed.
文章关键词
Generative AI; Network Literacy; Transformation of Educational Models; Scenario Construction; Practical Challenges
参考文献
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