Proceedings of the 3rd International Conference on Educational Innovation and Multimedia Technology, EIMT 2024, March 29–31, 2024, Wuhan, China

Research Article

Risks, Strategies, and Prospects of Generative Artificial Intelligence in Digital Education: A Policy Content Analysis Perspective

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  • @INPROCEEDINGS{10.4108/eai.29-3-2024.2347645,
        author={Xinyan  Ma and Xu  Ding and Xiaoqi  Tang and Siman  Zhang and Junfeng  Diao},
        title={Risks, Strategies, and Prospects of Generative Artificial Intelligence in Digital Education: A Policy Content Analysis Perspective},
        proceedings={Proceedings of the 3rd International Conference on Educational Innovation and Multimedia Technology, EIMT 2024, March 29--31, 2024, Wuhan, China},
        publisher={EAI},
        proceedings_a={EIMT},
        year={2024},
        month={6},
        keywords={generative artificial intelligence digital education risk mitigation future applications},
        doi={10.4108/eai.29-3-2024.2347645}
    }
    
  • Xinyan Ma
    Xu Ding
    Xiaoqi Tang
    Siman Zhang
    Junfeng Diao
    Year: 2024
    Risks, Strategies, and Prospects of Generative Artificial Intelligence in Digital Education: A Policy Content Analysis Perspective
    EIMT
    EAI
    DOI: 10.4108/eai.29-3-2024.2347645
Xinyan Ma1, Xu Ding1, Xiaoqi Tang1, Siman Zhang1, Junfeng Diao1,*
  • 1: Hainan Normal University
*Contact email: 920268@hainnu.edu.cn

Abstract

Artificial Intelligence Generated Content (AIGC) represents a transformative force in digital technology, playing a pivotal role in shaping the landscape of digital education. This research focuses on addressing the critical problem of effectively managing risks associated with AIGC, so as to foster the positive evolution of digital education. Identified risks encompass data privacy and security, ethical considerations related to learning content, challenges in achieving educational equity, and potential pitfalls arising from overreliance and technological errors. In response to these challenges, the study proposes targeted risk mitigation strategies, including reinforcing data privacy protection and security measures, optimizing learning content while managing ethical risks, promoting digital literacy to narrow educational gap, and implementing measures to prevent overreliance and mitigate technological errors. Ultimately, the study delves into the anticipated future state of AIGC in digital education, providing valuable insights into its prospective applications and development directions.