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虚拟学习社区研究及其创新共进STAMP模式探索
引用本文:王玉秋,初承桢.虚拟学习社区研究及其创新共进STAMP模式探索[J].科学与管理,2019,39(2):78-87.
作者姓名:王玉秋  初承桢
作者单位:临沂大学 教育学院,山东 临沂,276005;山东财经大学,山东 济南,250014
基金项目:教育部人文社会科学研究项目
摘    要:文献计量分析显示,对虚拟学习社区的研究从最初的互联网支持下大学生异步视听学习与同时互动,到智慧环境下的社会网络分析、学习适应与交互分析以及虚拟现实与游戏语境下的交互学习体验与协同创新等,研究主题与技术研发、应用、商品化、政策支持之间相互依存,形成创新共进网络。有关实证研究也表明大学生对新技术的应用与相关研究、教学与课程改革、技术指导、政策密切关联。研究发现:创新具有周期性趋势;创新具有相互依存性与共进性;科学共同体起关键作用。政策建议:发挥科学共同体和行业的作用;加强文化与伦理建设;加强技术指导及工作融入;加强数据监测评估与挖掘利用;加强实证研究,提高政策的导向性。

关 键 词:创新共进STAMP模式  虚拟学习社区  科学共同体  学术研究  技术共进

Exploration on the Study of Virtual Learning Community and its Innovative Co-evolving STAMP Model
Authors:WANG Yuqiu  CHU Chengzhen
Institution:(Educational School,Linyi University,Linyi 276005,China;Shandong University of Finance and Economics,Jinan 250014,China)
Abstract:Bibliometric analysis shows that the study of virtual learning community has formed a co-evolving network between academic study, technology development, application, merchandising policy supporting. It evaluates from the initial asynchronous audiovisual learning and simultaneous interaction, to social network analysis, learning adaptation and interaction analysis in smart environment and interactive learning experience in virtual reality and game context. The relevant empirical study also shows that college students' application of new technologies is closely related to research, teaching and curriculum reform, technical guidance, and policies. The study found that innovation has a periodical trend;innovation is inter-dependence and co-evolving;the scientific community plays a key role. Policy recommendations: scientific community and industry should play key roles;strengthen cultural and ethical construction;strengthen technical guidance and work integration;strengthen data monitoring and evaluation, mining and utilization;strengthen empirical research and enhance the orientating function of policy.
Keywords:innovation co-evolving STAMP model  virtual learning community  science community  academic study  technology co-evolving
本文献已被 CNKI 维普 万方数据 等数据库收录!
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