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Informal learning recognition through a cloud ecosystem

机译:通过云生态系统进行的非正式学习识别

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Learning and teaching processes, like all human activities, can be mediated through the use of tools. Information and communication technologies are now widespread within education. Their use in the daily life of teachers and learners affords engagement with educational activities at any place and time and not necessarily linked to an institution or a certificate. In the absence of formal certification, learning under these circumstances is known as informal learning. Despite the lack of certification, learning with technology in this way presents opportunities to gather information about and present new ways of exploiting an individual's learning. Cloud technologies provide ways to achieve this through new architectures, methodologies, and workflows that facilitate semantic tagging, recognition, and acknowledgment of informal learning activities. The transparency and accessibility of cloud services mean that institutions and learners can exploit existing knowledge to their mutual benefit. The TRAILER project facilitates this aim by providing a technological framework using cloud services, a workflow, and a methodology. The services facilitate the exchange of information and knowledge associated with informal learning activities ranging from the use of social software through widgets, computer gaming, and remote laboratory experiments. Data from these activities are shared among institutions, learners, and workers. The project demonstrates the possibility of gathering information related to informal learning activities independently of the context or tools used to carry them out.
机译:像所有人类活动一样,学习和教学过程可以通过使用工具进行调解。信息和通信技术现已在教育中广泛使用。在教师和学习者的日常生活中使用它们可以使他们在任何时间和地点参与教育活动,而不必与机构或证书挂钩。在没有正式认证的情况下,在这种情况下的学习称为非正式学习。尽管缺乏认证,但是以这种方式进行技术学习仍然提供了收集有关个人信息的机会,并提供了利用个人学习的新方法。云技术提供了通过新的架构,方法和工作流程来实现此目的的方法,这些架构,方法和工作流程有助于语义标记,识别和认可非正式学习活动。云服务的透明性和可访问性意味着机构和学习者可以利用现有知识来互惠互利。 TRAILER项目通过提供使用云服务,工作流和方法的技术框架来促进此目标。这些服务促进了与非正式学习活动相关的信息和知识的交换,这些活动包括使用社交软件,小部件,计算机游戏和远程实验室实验等。这些活动的数据在机构,学习者和工人之间共享。该项目证明了收集与非正式学习活动相关的信息的可能性,而与非正式学习活动的背景或工具无关。

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