Research on Teaching Reform of Generative AI-Empowered New Media Data Analysis and Application Course

Ling Wang

doi:10.54097/x3qxsx95

Authors

Ling Wang

DOI:

https://doi.org/10.54097/x3qxsx95

Keywords:

Generative AI in Education, Curriculum Reconstruction, New Media Data Analysis

Abstract

This study addresses the common challenges in new media data analysis teaching, such as high technical barriers, limited practical resources, and disconnection from industry advancements. Leveraging the potential of generative AI technology, it proposes a tripartite collaborative teaching model involving "AI-teacher-student." The core of the research lies in using generative AI to reconstruct course objectives, content, and evaluation systems, bridging the gap between teaching and industry needs through AI-assisted data collection, processing, analysis, and visualization.

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References

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