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Smart Learning Services Based on Smart Cloud Computing

机译:基于智能云计算的智能学习服务

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Context-aware technologies can make e-learning services smarter and more efficient since context-aware services are based on the user’s behavior. To add those technologies into existing e-learning services, a service architecture model is needed to transform the existing e-learning environment, which is situation-aware, into the environment that understands context as well. The context-awareness in e-learning may include the awareness of user profile and terminal context. In this paper, we propose a new notion of service that provides context-awareness to smart learning content in a cloud computing environment. We suggest the elastic four smarts (E4S)—smart pull, smart prospect, smart content, and smart push—concept to the cloud services so smart learning services are possible. The E4S focuses on meeting the users’ needs by collecting and analyzing users’ behavior, prospecting future services, building corresponding contents, and delivering the contents through cloud computing environment. Users’ behavior can be collected through mobile devices such as smart phones that have built-in sensors. As results, the proposed smart e-learning model in cloud computing environment provides personalized and customized learning services to its users.
机译:由于上下文感知服务基于用户的行为,因此上下文感知技术可以使电子学习服务更智能,更高效。为了将这些技术添加到现有的电子学习服务中,需要一种服务体系结构模型,以将现有的具有情境意识的电子学习环境转换为能够理解上下文的环境。电子学习中的上下文意识可以包括对用户简档和终端上下文的意识。在本文中,我们提出了一种新的服务概念,该服务可在云计算环境中为智能学习内容提供上下文感知。我们建议将弹性四智能(E4S)(智能拉动,智能前景,智能内容和智能推送)概念引入云服务,以便可以使用智能学习服务。 E4S致力于通过收集和分析用户的行为,预测未来的服务,构建相应的内容以及通过云计算环境交付这些内容来满足用户的需求。可以通过具有内置传感器的智能手机等移动设备来收集用户的行为。结果,所提出的云计算环境中的智能电子学习模型为其用户提供了个性化和定制的学习服务。

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