基于Cloud Card的个人学习空间云架构

The Cloud Architecture of Personal Learning Space With the Support of Cloud Card Techniques

：“互联网+”时代，信息技术与教育教学深度融合，泛在学习、翻转课堂、联通教育等颠覆性教育创 新不断涌现。在此背景下，面向未来教育的个人学习空间建设需要面向个人、面向智慧、开放生态、连接一切。 该文首先从学习生态圈和学习操控台两个视角对个人学习空间进行了全新解读，进而聚焦于Cloud Card技术支持 下的个人学习空间建设，论述了两者结合的理论与技术基础，提出了云平台系统架构下构建个人学习空间的具体 方案。云平台利用云计算技术，将资源、数据和服务汇聚到基础服务平台上进行统一规划与管理，并通过核心应 用中心，围绕服务于个体的成长发展，从资源、活动、评价三个维度提供个性化、情境性、自适应的学习服务， 最终以面向个体和公众的多样化终端加以呈现。研究最后对Cloud Card理念下个人学习空间中学习活动的设计与 组织进行初步探索，提出了原子级学习活动和学习样式模板，为个人学习空间的建设提供了新的技术路线和实现 方案，但后续仍需要从学习分析与挖掘实现、数据规范制定、学习样式模板设计等方面进行更加深入的研究。

In the era of ‘Internet plus’， with the deep integration of information technology and education， disruptive education innovations are emerging continuously， such as ubiquitous learning， flipped classroom， connected education， etc. In this context， the construction of personal learning space for future education should be individual-centered， wisdom-oriented， ecology- opened and everything-connected. First， the study provides a new statement for personal learning space from two perspectives， learning ecosystem and learning console. Then， regarding the technology of Cloud Card as a support for the construction of personal learning space， the study discusses the theoretical and technical basis of their combination， and then proposes the cloud architecture of personal learning space. Utilizing cloud computing， resources， data， and services are converged to the basic service platform for unified planning and management. And individualized， situational and adaptive learning services for personal growth development are offered by core application center from three dimensions of resources， activities and assessments， and are presented in diverse terminals for individuals and the public. Finally， the study suggests the design and organization of learning activities in personal learning space under the support of Cloud Card， and proposes the concepts of atomic learning activity and learning activity template. In conclusion， the study presents a new technical route and achievable solution for the construction of personal learning space. However， it is necessary to have a further study on the implementation of learning analytics and data mining， the establishment of data specification and the design of various learning templates.