国内高校学生管理的大数据应用现状和发展趋势

Application status and development trend of big data in college student management in China

为梳理我国高校学生管理工作中大数据应用的发展脉络,基于超星发现系统,采用文献计量法和内容分析法,一是从年度发文量、作者及来源机构、核心知识点、期刊发文量和项目支撑五个方面对已发表的文献情况进行统计和分析;二是从数据思维、数据来源、数据技术、数据范式和数据安全五个层面对学生管理工作中大数据应用研究热点进行归类和详细阐释;最后从精细化、精准化、智能化和个性化对大数据视域下我国学生管理工作的发展趋势作了展望。

In order to sort out the development of big data application in college student man-agement in China, based on Chaoxing system, this paper adopts bibliometric method and content analysis method to collect statistics and make analysis of published literatures from five aspects including annual volume of published papers, author and source organization, core knowledge po-ints, journal issue volume and project support, and to classify and elaborate the research hot-spots of big data application in student management from the following five levels: data thinking, data sources, data technology, data paradigm and data security. Finally, the article makes pro-spects of the development trend of student management in China under the perspective of big data from elaboration, precision, intellectualization and personalization.