大数据背景下高校思想政治教育个性化服务研究
发布时间:2018-06-20 10:15
本文选题:大数据 + 思想政治教育个性化服务 ; 参考:《喀什大学》2017年硕士论文
【摘要】:传统的高校思想政治教育对社会价值重视有余,对个体价值关注不足,突出每个个人在群体中或社会中的适应性,较少从人本角度来挖掘和倡导个体的发展;对单向引导教育重视有余,不注重学生的差异性和个体性,造成了思想理论和观念价值在转换为个体实践的过程中出现脱节,不能更好的投入到社会创新的实践当中去。大数据时代的到来引发了生活,工作与思维的社会大变革。同时大数据也能为高校思想政治教育个性化服务的工作提供有利的思维和技术支持。高校思想政治教育个性化服务是通过大数据实现对思想政治教育对象的针对性、精准性服务来培养大学生的优良而全面的个性化品质。本文研究方法是通过收集和阅读关于大数据与思想政治教育的相关的专著、学位论文和期刊论文等文献,尽可能多的占有前人研究成果,作为本文研究的基础,找出其中可以继续深入研究的内容作为启示和参考。对比高校思想政治教育的现状与大数据时代下的高校思想政治教育的建设,比较分析其中的异同并且发现问题,借鉴大数据在教育、商业等领域的应用,提出大数据背景下高校思想政治教育个性化服务的研究,促使针对性的改进提高,进而增强高校思想政治教育的实效性。第一部分主要介绍大数据与高校思想政治教育个性化服务的相关理论,并指出当前高校思想政治教育存在着有教育目标比较单一,教育方法突显僵化以及教育对象地位相对被动的局面等问题。尤其当代大学生的个性化行为,思想差异性较大,所以高校思想政治教育个性化服务亟待加强。通过大数据的思维方式和技术手段来进行高校思想政治教育个性化服务,能够增强高校思想政治教育工作的针对性和实效性,实现思想政治教育对象的个性化发展和潜能发挥,培养创新型社会需要的人才。第二部分主要论证了大数据能够为高校思想政治教育个性化服务带来的机遇和挑战。大数据为高校思想政治教育对象提供了精准化,个性化服务的机会,加强了受教育者思想动态的实效性监控,实现了思想政治教育对象的预测性干预。同时分析利用大数据进行高校思想政治教育个性化服务的可行性。大数据同样会给高校思想政治教育工作带来了诸多挑战,比如教育理念的转变,信息技术的制约,相关人才的匮乏和个人隐私的保护等问题。最后指出大数据应用于高校思想政治教育个性化服务进程中应避免的问题。第三部分展开讨论利用大数据引领高校思想政治教育个性化服务的路径和方法。以大数据为依托构建高校思想政治教育个性化服务生态系统,通过加强顶层设计的扁平化多元主体的治理架构,建立“数据驱动决策”的决策体系,强化高校思想政治教育主客体的激励作用;以大数据引领高校思想政治教育教学方式,教育评价,研究范式和人才队伍的转型;打造高校网络空间学习平台的数据载体,利用大数据建构思想政治教育个性化服务模型;最后确立高校数据相关责任人的准入机制,健全数据保密、安全控制的监管平台,完善对个体自由权利的保护。
[Abstract]:The traditional ideological and political education of colleges and universities attaches great importance to the value of the society, pays less attention to the individual value, highlights the adaptability of each individual in the group or the society, and seldom excavates and advocates the development of the individual from the perspective of human. It pays more attention to the unidirectional guidance education and does not pay attention to the differences and individuality of the students. The concept value is disjointed in the process of transforming into individual practice, and it can not be put into the practice of social innovation better. The arrival of the big data age has triggered the social change of life, work and thinking. At the same time, big data can also provide favorable thinking and technical support for the work of individualized service for ideological and political education in Colleges and universities. The individualized service of Ideological and political education in Colleges and universities is to achieve the target of Ideological and political education through large data and the precision service to cultivate the excellent and comprehensive individualized quality of college students. This research method is through collecting and reading books related to big data and ideological and political education, dissertations and periodical papers. As much as possible, as much as possible, as the basis of this study, to find out the content which can continue to be further studied as inspiration and reference. Compare the status of Ideological and political education in Colleges and universities and the construction of Ideological and political education in the era of large data, compared with the analysis of the similarities and differences and the discovery of problems. The application of data in the fields of education, business and other fields put forward the research on the individualized service of Ideological and political education in Colleges and Universities under the background of large data, which will promote the improvement of the targeted improvement and enhance the effectiveness of Ideological and political education in Colleges and universities. The first part mainly introduces the related theories of the personalized service of large data and the ideological and political education of universities and colleges, and points out that the theory of the education is related to the individualized service of the ideological and political education in Colleges and universities. There are some problems in the ideological and political education in the former universities, such as the relatively unitary educational goals, the stiffness of the education methods and the relatively passive status of the educational objects. Especially the individualized behavior of the contemporary college students, which has a great difference in thought, so the individualized service of Ideological and political education in Colleges and universities should be strengthened. The individualized service of Ideological and political education in Colleges and universities can enhance the pertinence and effectiveness of Ideological and political education in Colleges and universities, realize the individualized development and potential of the object of Ideological and political education and develop the talents of innovative society. The second part mainly proves that big data can be used for ideological and political education in Colleges and universities. The big data provided the target of the ideological and political education, the opportunity of the ideological and political education in Colleges and universities, the opportunity of individualized service, the effective monitoring of the ideological dynamic of the educated, the predictive intervention of the object of Ideological and political education, and the analysis of the personalized service of the ideological and political education of colleges and universities by using large data. The big data will also bring many challenges to the ideological and political education in Colleges and universities, such as the transformation of educational ideas, the constraints of information technology, the lack of related talents and the protection of personal privacy. Finally, the paper points out the problems which should be avoided in the application of large data to the process of Ideological and political education in Colleges and universities. Third parts. This paper discusses the way and method to guide the individualized service of Ideological and political education in Colleges and universities by using big data. Based on large data, it builds the individualized service ecosystem of Ideological and political education in Colleges and universities. By strengthening the management framework of the flat and multiple main body of the top level design, it establishes the decision-making system of "driving decision-making of numbers" and intensifying the thinking of colleges and universities. We want the incentive effect of the main and the object of the political education; take the big data to guide the teaching mode of the ideological and political education, the education evaluation, the research paradigm and the transformation of the talent team, build the data carrier of the university network space learning platform, construct the personalized service model of the ideological and political education by the big data, and finally establish the relevant responsible people of the university data. We should improve the access mechanism, improve the monitoring platform of data confidentiality and security control, and improve the protection of individual rights and freedoms.
【学位授予单位】:喀什大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:G641
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