基于教育大数据的教育虚拟社区交互设计研究

发布时间：2018-03-30 16:11

  本文选题：教育大数据　切入点：教育虚拟社区　出处：《远程教育杂志》2017年05期

【摘要】：当前,教育大数据凭借为教育决策提供数据支持的优势在教育教学过程中发挥了重要作用,受到教育界的广泛关注。教育虚拟社区作为网络教育的应用及发展形式,如何利用大数据为社区交互提供指导值得探究。因此,从教师、学生、目标内容、资源、文化五个层面详细阐述了教育大数据对教育虚拟社区交互的作用蕴涵,并以"学习科学与技术"虚拟社区的大数据为研究个案,采用问卷调查法从主体因素、支撑因素、目标内容因素、资源因素、文化因素五个方面,实证分析了教育虚拟社区交互效果影响因素。结果表明:教师、学生、平台、网络环境、目标、内容、资源、社区归属感和社区氛围等因素有利于提升社区交互效果,在具体交互过程中要发挥教育大数据在社区交互中的支持作用,有针对性地对社区交互进行主体设计、支撑因素设计、目标内容设计、资源设计、文化设计,以期提升社区交互效果。
[Abstract]:At present, educational big data has played an important role in the process of education and teaching by virtue of the advantage of providing data support for educational decision making. Education virtual community is regarded as the application and development form of network education. How to use big data to provide guidance for community interaction is worth exploring. Therefore, from the five aspects of teachers, students, target content, resources and culture, this paper expounds in detail the role of educational big data in the interaction of educational virtual community. Taking big data in the Virtual Community of Learning Science and Technology as a case study, the questionnaire survey was conducted from five aspects: subject factor, supporting factor, target content factor, resource factor and cultural factor. The results show that teachers, students, platform, network environment, goals, content, resources, community belonging and community atmosphere are beneficial to improve the interaction effect. In the process of concrete interaction, we should give full play to big data's supporting role in community interaction, and carry out the main body design, support factor design, target content design, resource design, cultural design for community interaction. In order to improve the community interaction effect.
【作者单位】： 曲阜师范大学传媒学院;
【基金】：国家社科基金教育学一般项目“教育虚拟社区伦理的作用机制及评价研究”(项目编号:BEA130026) 山东省教学改革项目“教育技术学本科专业‘厚基础+精技能’人才培养体系的研究与实践”(项目编号:2015M099)的研究成果
【分类号】：G434
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本文编号：1686642