困境与突破:基于知识图谱的中国公法教育模式创新

Zilin Ma, Yiting Wang
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引用次数: 0

摘要

30多年来,公法教育活动的形式日益丰富。然而,随着技术的更新,以单向传播为特征的传统公法教育模式已经逐渐脱离现实,无法适应人的主体性回归,满足不同人群的个性化需求。公共法律教育作为中国推进法治建设的重要组成部分,应及时利用新技术进行创新。本文通过将人工智能时代的知识图谱技术与公共法律教育工作相结合,研究如何利用知识图谱技术构建公共法律教育网络平台,引入定制化的法律教育内容,建立健全智能公共法律教育工作机制,让用户完成从法律教育对象到法律学习主体的重要转变。这将丰富公共法学教育的理论研究成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dilemma and Breakthrough: Innovation on Models of Public Legal Education in China Based on Knowledge Graph
In over 30 years, the forms of public legal education activities have become increasingly rich. However, with the technology refresh, the traditional public legal education model characterized by one-way communication has gradually become out of touch, which can not adapt to the return of the people’s subjectivity and meet the personalized needs of different groups of people. As an important part of advancing the Rule of Law in China, public legal education should be timely innovated with the help of new technology. By combining the knowledge graph technology in the era of artificial intelligence with the work of public legal education, this paper studies how to use the knowledge graph technology to build public legal education network platform, introduce customized legal education content, and establish a sound mechanism for intelligent public legal education work, so that users can complete the important transformation from the object of legal education to the subject of law learning. This will enrich the theoretical research results of public legal education.
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