大数据背景下高校学生工作转型研究

发布时间：2017-12-31 06:23

本文关键词：大数据背景下高校学生工作转型研究　出处：《山东大学》2016年硕士论文　论文类型：学位论文

【摘要】：自上古时代以来,人类就用数据记录事件,后来随着社会和科技的发展,尤其是工业革命以后,数据无论是在数量还是质量上,都有了显著的提高。人类对数据也愈加重视,各行业先后确立了数据标准和使用规范。当前,互联网的形态与其最初产生时发生了巨大变化,社交平台、电子商务、移动互联等形态大大丰富了互联网的内容,拓宽了互联网的应用领域。随着互联网的不断升级和信息技术的发展,除了结构化数据,音频、视频等半结构和非结构化数据也大量产生,数据种类和规模都呈指数级速度快速增长,大数据时代已经悄然到来。大数据在给各行各业的发展带来了前所未有的机遇的同时,也带来了更加严峻的挑战,教育领域当然也不例外。高校作为知识密集,思想活跃,最易接受新鲜事物的前沿阵地,学校的工作方法、教育管理模式等必将受到大数据的深刻影响。本文采用了跨学科、跨领域的研究方法,将大数据的先进思想和理念以及大数据时代引发的思维变革与教育领域紧密融合,推进高校学生工作在新形势、新环境下的积极转型,以实现更高层次的教育目标。导论部分主要针对大数据背景下高校学生工作转型研究这一问题的提出和选题理由进行了论述,试图在借鉴国内外不同学者相关研究成果基础之上,分析目前研究取得的成绩和存在的不足,并认真梳理本文的研究思路与研究方法。论文第一章对大数据的基本概念进行了分析,这是所研究问题的时代背景和社会大环境。从大数据的产生背景、发展趋势、主要特点、主要类型与关键技术等各方面进行了充分阐释。除此之外,还详细介绍了高校学生工作作为一个整体和系统主要包括的内容,并提出了大数据背景下高校学生工作的发展目标。论文第二章聚焦了大数据背景下高校学生工作面对的挑战与机遇。论述了大数据时代高校学生工作存在的问题及成因和外界环境的剧烈变化给高校学生工作带来的冲击；分析了大数据背景下高校学生工作迎来的机遇,为高校学生工作的转型做好铺垫。论文第三章立足大数据时代高校学生工作存在的问题,借助大数据给高校学生工作带来的机遇,分析了大数据背景下高校学生工作转型的内容,即从工作模式、工作方法与数据管理三方面入手,从宏观到微观,层层递进,描绘出高校学生工作未来的发展方向。论文第四章对大数据背景下高校学生工作转型的保障进行了论述,包括队伍建设和工作环境两个方面。论文认为大数据背景下要创新学生工作队伍建设并优化学生工作环境。
[Abstract]:Since ancient times, people have used data to record events, and later with the development of society and technology, especially after the industrial revolution, data, whether in quantity or quality. Human beings pay more attention to data, and various industries have established data standards and usage norms. At present, the shape of the Internet and its initial appearance has undergone tremendous changes, social platform. E-commerce, mobile interconnection and other forms greatly enrich the content of the Internet, broaden the application of the Internet. With the continuous upgrading of the Internet and the development of information technology, in addition to structured data, audio. Video and other semi-structured and unstructured data are also produced in large numbers, and the data types and scale are increasing exponentially. Big data era has come quietly. Big data has brought unprecedented opportunities to the development of various industries, but also brought more severe challenges, of course, the field of education is no exception. Colleges and universities as knowledge-intensive. The active thought, the most receptive frontier position of new things, the working method of school, the educational management mode and so on will be influenced by big data deeply. This paper adopts the interdisciplinary and cross-domain research method. Big data's advanced ideas and ideas as well as big data era of thinking changes and the field of education are closely integrated to promote the work of college students in the new situation under the new environment of positive transformation. In order to achieve a higher level of education goals. The introduction mainly focuses on the big data background under the background of the work transformation of college students put forward and the reasons for the topic are discussed. Based on the relevant research results of different scholars at home and abroad, this paper tries to analyze the achievements and shortcomings of the current research. The first chapter analyzes the basic concept of big data, which is the background of the study and social environment. Big data from the background. The development trend, main characteristics, main types and key technologies have been fully explained. In addition, the work of college students as a whole and system mainly included in detail. The second chapter focuses on the challenges and opportunities faced by college student work under big data background, and discusses the problems existing in college student work in big data era. And the causes and the violent changes of the external environment to the impact on the work of college students; This paper analyzes the opportunity of university student work under big data background, and lays a good foundation for the transformation of university student work. Chapter three is based on the problems existing in college student work in big data era. With the help of big data's opportunity to the work of college students, this paper analyzes the contents of the transformation of college students' work under big data background, that is, starting from three aspects of work mode, working methods and data management, from macro to micro. Layer by layer, describe the future development direction of college student work. Chapter 4th discusses the guarantee of the transformation of university student work under the background of big data. The paper thinks that under the background of big data, the construction of student work force should be innovated and the working environment of students should be optimized.
【学位授予单位】：山东大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：G647

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