节点文献
高职院校大学生网络行为现状及引导对策研究
The Study on the Actual Situation of Higher Vocational College Students’ Network Behavior and the Appropriate Countermeasures
【作者】 罗小春;
【导师】 王凯伟;
【作者基本信息】 湘潭大学 , 公共管理, 2010, 硕士
【摘要】 国家教育事业发展“十一五”规划纲要指出,加快发展职业教育,提高劳动者素质,加快培养高素质劳动者和高技能专门人才,深化职业教育的教育教学改革,加强职业教育基础能力建设,营造职业教育发展的良好制度环境。到2008年底,中国大陆独立设置的高等职业技术学院超过1200所,占全国高校总数70%左右,高职在校生超过1300万,占全国高校在校生的一半多。高等职业教育的大发展在中国高等教育大众化过程中居功甚伟。同时当今社会又是互联网高速发展的社会,调查结果显示,网民中18-24岁的年轻人所占比例最高,达到35.1%。高职院校大学生自身的特点使得他们在使用网络过程中会不可避免的存在负面问题。与本科生相比,高职院校大学生学习压力小,就业压力大;与中学生相比,高职院校大学生一般远离家庭住校,脱离父母的管束;与成年人相比,高职院校大学生阅历浅,独立性、自控力不强。因此高职院校大学生在面对网络多元化信息、网络虚拟感情、网络游戏行为时,往往无法自控,表现出来许多违反道德和违法犯罪的非理性行为,行为程度和性质从网络失德到网络违法直至犯罪。本文共分为五部分,首先分析了选题的背景及选题的意义,明确了研究的思路和方法,阐述了研究的主要内容及本文的创新点。其次阐述了高职院校大学生网络行为的理论分析,解析了相关概念内涵以及高职院校大学生网络行为的特征。接着以湖南省长沙市某高职院校为例展开了高职院校大学生网络行为的实证研究,并对调研数据进行了分析。继而分析了高职院校大学生网络行为的现状及消极行为的危害性,探讨了高职院校大学生网络行为现状的原因。最后从政府、高校、社会以及大学生四个层面提出了引导高职院校大学生网络行为的对策。
【Abstract】 The National“Eleventh Five-Year Plan”for education development points out that we need to speed up the development of vocational education and enhance the workers’quality, to accelerate the training of high quality workers and professional person, to deepen the teaching reform of vocational education, to strengthen the ability of improving the basic standard of vocational education, and to construct a good institutional environment for vocational Education development. By the end of 2008, the number of the higher vocational institutes which established independently in China Mainland, was already over 1200, accounting for 70% among that of the total university. The number of the vocational school students is more than 13 million, occupying half of national college students and more. The great development of higher vocational education made an giant contribution to the career of popular higher education in China. Meanwhile, with the rapid development of Internet, there are 35.1% Internet users are among 18 to 24 -year-old nowadays,according to a survey.The higher vocational college Students’own characteristics will bring negative effects inevitably when they use internet. Compared with the undergraduates of university, the higher vocational college students just shoulder less pressure of study, but more pressure of employment. compared with the middle school students, the vocational college students live in campus that are far away from the family, thus free from restrain of their parents; and compared with adults, the vocational college students have little experience, lack independence and self-control. Therefore, when faced up with the plural information from network, virtual emotion, online game behavior, the vocational college students often can’t control themselves well, what’s more, they are addicted to it then displayed many irrational behavior of violating moral and illegal crime. Step by step, the extent and nature of the vocational college students’behavior from losing morality of network to network illegally until crime.This paper is divided into five parts, the first part analysed the background and significance of topic selecting, ensured the train of thoughts and methods of the study, explained the main content and innovation of this paper. The second part?expounded the theoretical analysis of the higher vocational college students’network behavior, paid more attention to the analysis of relevant concepts and the features of the higher vocational college students’network behavior. The third part was an Empirical study. The author took a higher vocational college, in Changsha, Hunan Province as an example to make an investigation. And then analyzed the data of investigation. The fourth part analyzed the current situation of vocational college students’network behavior and the risk of student’negative network behavior, after that,its discussed the reasons of that situation. Finally the author puts forward the ways to guide vocational college Students’network behavior from the government, university, society and students’themselves these four aspects.
【Key words】 higher vocational colleges; college students; network behavior; and countermeasures;