Innovation of Law Education Model in Applied Colleges and Universities Based on Big Data and Artificial Intelligence

Q2 Social Sciences
Quan Yuan, Lin Lv, Yolanda Cordero
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引用次数: 0

Abstract

Relying on the nation's first judicial big data research base for people's courts in Southeast University, Southeast University Law School has set up a training direction for graduate students in legal big data and artificial intelligence, and explored the “three-dimensional, small-scale, wide-ranging, and large-scale ecology.” The concept of “meta-integration” of legal postgraduate talent training will build a “four-in-one” legal big data and artificial intelligence postgraduate talent training system, so that the leading position of legal big data and artificial intelligence in leading disciplines will be gradually established, and the training effect of leading talents will be established. In addition, the establishment of a teaching feedback mechanism can also provide important guidance for how to improve artificial intelligence in legal education. This paper applies the data mining technology to the legal education in colleges and universities and comprehensively expounds the basic theories and methods of data mining.
基于大数据和人工智能的应用型高校法学教育模式创新
依托东南大学人民法院全国首个司法大数据研究基地,东南大学法学院设立法律大数据与人工智能研究生培养方向,探索“立体、小尺度、宽领域、大尺度生态”。法律研究生人才培养“元整合”理念,构建“四位一体”的法律大数据与人工智能研究生人才培养体系,逐步确立法律大数据与人工智能在主导学科的领先地位,确立领军人才的培养效果。此外,建立教学反馈机制也可以为如何完善法律教育中的人工智能提供重要指导。本文将数据挖掘技术应用于高校法学教育,全面阐述了数据挖掘的基本理论和方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.40
自引率
0.00%
发文量
68
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