Research on the design and application of ideological and political education platform in colleges and universities based on Moodle

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS
Lei Zhu
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引用次数: 2

Abstract

Ideological and political education in Colleges and universities is an important feature and political advantage of China’s higher education. For a long time, ideological and political education in Colleges and universities has provided a strong spiritual power and political guarantee for the implementation of the party’s educational policy and the training of qualified socialist builders and successors. However, with the emergence of new situations, such as multi-polarization of world politics, economic globalization, cultural diversity, information networking, diversification of the social organization forms and lifestyles, and diversification of employment positions and forms of employment, the ideological and political education in Colleges and universities is facing severe challenges. Based on the analysis of the feasibility of Moodle, this paper uses the open-source Moodle technology to design ideological and political education platform in Colleges and universities, which has important research significance.
基于Moodle的高校思想政治教育平台设计与应用研究
高校思想政治教育是中国高等教育的重要特色和政治优势。长期以来,高校思想政治教育为贯彻党的教育方针、培养合格的社会主义建设者和接班人提供了强大的精神动力和政治保障。然而,随着世界政治多极化、经济全球化、文化多样化、信息网络化、社会组织形式和生活方式多样化、就业岗位和就业形式多样化等新形势的出现,高校思想政治教育面临严峻挑战。本文在分析Moodle可行性的基础上,利用开源的Moodle技术设计高校思想政治教育平台,具有重要的研究意义。
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来源期刊
CiteScore
2.80
自引率
23.10%
发文量
31
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.
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