Research on AIGC Empowering the Cultivation of University Media Talents

-- Taking the Course "Introduction to Journalism" as an Example

Authors

  • Qingyue Li

DOI:

https://doi.org/10.54097/cadr5f62

Keywords:

AIGC, University Media Talent Cultivation, Introduction to Journalism, Teaching Reform

Abstract

This paper delves into the transformative role of AIGC in the cultivation of university media talents, with a specific focus on its application in the "Introduction to Journalism" course. By analyzing the current status of media talent cultivation and the challenges faced by traditional teaching models, it elucidates the opportunities presented by AIGC in terms of enriching teaching content, innovating teaching methods, and enhancing practical teaching. Through case studies and empirical research, practical strategies are proposed to integrate AIGC into the teaching of "Introduction to Journalism", aiming to cultivate media talents with innovative and practical abilities to meet the demands of the media industry in the digital age.

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References

[1] Cheng Qiyun, Sun Caixin, Zhang Xiaoxing, et al. Short-Term Load Forecasting Model and Method for Power System Based on Complementation of Neural Network and Fuzzy Logic [J]. Transactions of China Electrotechnical Society, 2004, 19(10): 53-58.

[2] Fangfang. Research on Power Load Forecasting Based on Improved BP Neural Network [D]. Harbin Institute of Technology, 2011.

[3] Amjady N. Short-term Hourly Load Forecasting Using Time Series Modeling with Peak Load Estimation Capability [J]. IEEE Transactions on Power Systems, 2001, 16(4): 798-805.

[4] Ma Kunlong. Short-term Distributed Load Forecasting Method Based on Big Data [D]. Changsha: Hunan University, 2014.

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Published

29-07-2025

Issue

Section

Articles

How to Cite

Li , Q. (2025). Research on AIGC Empowering the Cultivation of University Media Talents: -- Taking the Course "Introduction to Journalism" as an Example. Journal of Education and Educational Research, 14(1), 72-78. https://doi.org/10.54097/cadr5f62