使用TOSCA语言对个性化教育内容建模:介绍eduTOSCA

P. Fitsilis, Omiros Iatrellis, Paraskevi Tsoutsa
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引用次数: 0

摘要

参加高等教育机构(HEIs)职业教育与培训(VET)的学生面临着各种复杂的决策和程序。为了给学生提供更持久和更个性化的辅导,许多高等教育院校/职业院校采用学术辅导系统和工具,以尽量减少成本和简化辅导服务。此外,教育项目包括和组合来自不同教育提供者的教育内容,同时在不同的平台上进行管理和执行,这是很常见的。因此,基于异构教育服务提供商提供的教育内容开发个性化学习概念模型的能力是一个迫切需要解决的问题。在跨不同云计算平台部署应用程序时也会遇到类似的问题。在这些情况下提供的解决方案是开发专门的语言来定义拓扑和应用程序的编排,如TOSCA、CAMP、Open-CSA等。在本文中,我们建议使用类似的概念模型来为个性化学习的异构教育产品建模,这些模型与能够支持这些概念的系统的总体架构一起提出,称为cc-coach。此外,本文还提出了一项标准化工作建议,以创建一个具有不同利益相关者的多供应商教育生态系统,能够支持不同层次的个性化学习。
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Using TOSCA language to model personalized educational content: Introducing eduTOSCA
Students attending Higher Education Institutions (HEIs) of Vocational Educational and Training (VET) are faced with a variety of complex decisions and procedures. To provide students with more sustained and personalized advising, many HEIs/VETs use academic advising systems and tools as a way to minimize costs and streamline their advising services. Furthermore, it is quite common for educational programs to include and combine educational content from different educational providers, while they are managed and executed on different platforms. Therefore, the ability to develop conceptual models for personalized learning based on educational content produced by heterogeneous educational service providers is a pressing need to address. A similar issue is confronted when deploying applications across diverse cloud computing platforms. A solution that is provided in these situations is the development of specialized languages for defining the topology and the orchestration of applications such as TOSCA, CAMP, Open-CSA, etc. In this paper, we propose to use similar conceptual models for modelling heterogeneous educational offerings toward personalized learning, which are presented along with the overall architecture of a system, named cc-coach, able to support these concepts. Further, this paper is a proposal for the standardization efforts needed for creating a multi-vendor educational ecosystem with diverse stakeholders, able to support personalized learning at various levels.
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