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A meta-model to develop learning ecosystems with support for knowledge discovery and decision-making processes

机译:支持知识发现和决策过程的发展学习生态系统的元模型

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There are software solutions to solve most of the problems related to information management in any company or institutions, but still, there is a problem for transforming information into knowledge. Technological ecosystems emerge as a solution to combine existing tools and human resources to solve different problems of knowledge management. In particular, when the ecosystem is focused on learning processes associated with knowledge are named learning ecosystems. The learning ecosystem metamodel defined in previous works solves several problems related to the definition and implementation of these solutions. However, there are still challenges associated with improving the analysis and visualization of information as a way to discover knowledge and support decision making processes. On the other hand, there is a metamodel proposal to define customized dashboards for supporting decision-making processes. This proposal aims to integrate both metamodels as a way to improve the definition of learning ecosystems.
机译:存在解决任何公司或机构中与信息管理有关的大多数问题的软件解决方案,但是仍然存在将信息转化为知识的问题。技术生态系统是一种解决方案,可以将现有工具和人力资源相结合来解决知识管理的各种问题。特别是,当生态系统专注于与知识相关的学习过程时,被称为学习生态系统。先前工作中定义的学习型生态系统元模型解决了与这些解决方案的定义和实施相关的几个问题。但是,仍然存在与改进信息的分析和可视化相关的挑战,这是发现知识和支持决策过程的一种方式。另一方面,存在一个元模型提议,以定义定制的仪表板以支持决策过程。该提议旨在整合两个元模型,以改善学习生态系统的定义。

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