虚拟学习社区用户粘度的影响因素研究

发布时间：2018-05-22 14:37

本文选题：虚拟学习社区 + 用户粘度　；参考：《曲阜师范大学》2015年硕士论文

【摘要】：随着计算机技术、网络技术、多媒体技术等为代表的信息技术的迅速发展,虚拟学习社区以多种多样的形式走进人们的生活。为了进一步开展研究,以虚拟学习社区的方式对《学习科学与技术》这门课程进行应用,让学生在社区中通过自主学习、协作学习以及研究性学习等多种学习方式进行学习。它的成功运作关键是能否吸引学生的自发参与,并形成稳定的用户群,一个有价值的学习社区只有留住用户,才能更好的发挥其价值,否则不可能长期运行。本研究选取曲阜师范大学2011级和2012级教育技术学专业的本科生,他们使用“虚拟学习社区”这个平台对《学习科学与技术》这门课程进行了为期一个学期的系统学习,所以对“虚拟学习社区”这个平台非常了解,文章中会采用Likert5级量度的问卷形式对学生进行调查。首先阐述本文的研究背景,描述研究目的、意义、论文框架与思路以及研究方法,重点对虚拟学习社区以及用户粘度的研究现状及相关理论进行阐述,为后期的问卷编制及数据的分析做好铺垫,通过对用户粘度相关论文及文献的研究,构建出了用户粘度的测量模型,用于后面的验证与修改。然后,针对测量模型中的每一个影响因素,给出若干个测量指标,根据这些指标制作问卷,进行问卷的发放与回收,把回收的问卷利用Excel与Spss13.0进行统计,利用Spss13.0和Amos软件进行数据的分析,这一部分是整篇论文的核心部分,也是最重要的部分,只有数据的分析准确了,才能正确的对之前假设出的模型进行检验和修改,得到相对准确的影响虚拟学习社区用户粘度因素的模型。最后,根据分析结果,给出提高虚拟学习社区用户粘度的相应对策,对虚拟学习社区这个学习平台进行进一步的完善,提高社区的用户粘度。当然,论文中也存在一些不足,所以还要对全文进行总结,对下一步的研究做出展望。虚拟学习社区的用户粘度受到多种因素的影响,通过对数据进行分析可以得出用户粘度影响因素(七个方面),按照影响力大小依次是满意度、趣味性、期望确认度、易用性、归属感、安全性、个性化。所以要提高虚拟学习社区的用户粘度主要从这七个方面着手去改善。
[Abstract]:With the rapid development of information technology, such as computer technology, network technology and multimedia technology, virtual learning community comes into people's life in various forms. In order to carry out further research, the course "Learning Science and Technology" is applied in the way of virtual learning community, so that students can learn in the community through autonomous learning, collaborative learning and inquiry learning. The key to its successful operation is whether it can attract students' spontaneous participation and form a stable user group. Only by retaining users can a valuable learning community better bring its value into full play, otherwise it will not be able to run for a long time. In this study, undergraduate students majoring in education technology were selected from Qufu normal University of 2011 and 2012. They used the platform of "Virtual Learning Community" to systematically study the course "Learning Science and Technology" for one semester. Therefore, we know the virtual learning community very well. We use the questionnaire of Likert5 scale to investigate the students. First of all, the research background, purpose, significance, frame, thought and research methods of this paper are described, and the research status and related theories of virtual learning community and user viscosity are described. Through the research on user viscosity related papers and literature, the measurement model of user viscosity is constructed, which can be used to verify and modify it. Then, according to each influencing factor of the measurement model, several measurement indexes are given. According to these indexes, questionnaires are made, the questionnaires are distributed and recovered, and the recovered questionnaires are counted by Excel and Spss13.0. Using Spss13.0 and Amos software to analyze the data, this part is the core part of the whole paper, but also the most important part. Only when the analysis of the data is accurate, can the model be checked and modified correctly. A relatively accurate model of user viscosity factors affecting virtual learning community is obtained. Finally, according to the analysis results, the corresponding countermeasures to improve the user viscosity of the virtual learning community are given, and the learning platform of the virtual learning community is further improved to improve the user viscosity of the community. Of course, there are some shortcomings in the paper, so we should sum up the full text and make a prospect for the next research. The user viscosity of virtual learning community is influenced by many factors. By analyzing the data, we can get the influencing factors of user viscosity (seven aspects, according to the order of influence are satisfaction, interest, expected confirmation, ease of use, etc. Sense of belonging, security, personalization. Therefore, to improve the user viscosity of virtual learning community mainly from these seven aspects to improve.
【学位授予单位】：曲阜师范大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：G434

【参考文献】