Research on the application strategy of new media technology in Modern University Law Teaching

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-06-05 DOI:10.3233/JIFS-219122

She Min

引用次数: 1

Abstract

The arrival of the new media era has a certain impact on the teaching environment of universities in China. The rapid development of new media has also profoundly affected the thinking mode, behavior style and psychological consciousness of college students. This paper puts forward some innovative teaching modes under the background of new media information technology, including the online simulation court, the construction of interactive dynamic teaching website and so on. It realizes the deep integration between law teaching and modern new media technology, and gradually forms an open and diversified teaching mode. The research content of this paper has far-reaching significance for promoting the teaching of new media technology and enhancing the pertinence and effectiveness of College Students’ legal education.

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新媒体技术在现代大学法学教学中的应用策略研究

新媒体时代的到来对中国高校的教学环境产生了一定的影响。新媒体的快速发展也深刻影响着大学生的思维方式、行为方式和心理意识。本文提出了新媒体信息技术背景下的创新教学模式，包括在线模拟法庭、交互式动态教学网站的建设等。实现了法学教学与现代新媒体技术的深度融合，逐步形成开放多元的教学模式。本文的研究内容对于促进新媒体技术教学，提高大学生法制教育的针对性和实效性具有深远的意义。

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

International Journal of Fuzzy Logic and Intelligent Systems COMPUTER SCIENCE, THEORY & METHODS-

CiteScore

2.80

自引率

23.10%

发文量

期刊介绍： The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.