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Problems and Reform Ideas in Law Theory Teaching in Universities Based on Big Data Analysis

机译:基于大数据分析的大学法学理论教学中的问题与改革思想

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As an important part of the development of science and technology, big data analysis has been applied in many fields. While big data analysis has brought revolutionary influence to the legal industry, universities, as the primary source of legal talents, will inevitably bring invisible pressure to the traditional law teaching. In order to change this situation, we can reform the legal theory education from the aspects of law teaching mode, teaching system and talent training to adapt to the new mode of law education in the big data environment. The teaching research of law theory in universities under big data analysis not only increases the mode of law education, but also expands the development space of law theory teaching. Big data analysis will play an important role in the improvement of legal education, which will make it possible to realize the fairness of education and cultivate more excellent legal talents needed in the new era. According to the survey results, the learning effect of big data analysis on legal professional knowledge has been slightly improved by 31.13%, and the number of people who use websites to query relevant knowledge is as high as 85.71%. Aiming at the problems in law teaching process, this paper explores the reform of law theory teaching mode under the background of big data analysis.
机译:作为科技发展的重要组成部分,大数据分析已应用于许多领域。虽然大数据分析向法律产业带来了革命性的影响,但大学作为法律人才的主要来源,将不可避免地为传统法律教学带来隐形压力。为了改变这种情况,我们可以从法律教学模式,教学制度和人才培训方面改革法律理论教育,以适应大数据环境中的新法教育模式。大数据分析下大学法理论的教学研究不仅提高了法学教育模式,还扩大了法学理论教学的发展空间。大数据分析将在改善法律教育方面发挥重要作用,这将使能够实现教育的公平性,并培养新时代所需的更优秀的合法人才。根据调查结果,大数据分析对法律专业知识的学习效果略有提高31.13%,以及使用网站查询相关知识的人数高达85.71%。针对法律教学过程中的问题,本文探讨了大数据分析背景下的法学理论教学模式改革。

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