Department of Multimedia Science, Sookmyung Women's University, Chungpa-Dong 2-Ga, Yongsan-Gu 140-742, Seoul, Korea.
Sensors (Basel). 2011;11(8):7835-50. doi: 10.3390/s110807835. Epub 2011 Aug 9.
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.
上下文感知技术可以使电子学习服务更加智能和高效,因为上下文感知服务基于用户的行为。要将这些技术添加到现有的电子学习服务中,需要一种服务架构模型来将现有的情境感知电子学习环境转变为能够理解上下文的环境。电子学习中的上下文感知可能包括用户档案和终端上下文的感知。在本文中,我们提出了一种新的服务概念,它为云计算环境中的智能学习内容提供上下文感知。我们将弹性的四个智能(E4S)——智能拉取、智能预测、智能内容和智能推送——的概念引入到云服务中,从而实现智能学习服务。E4S 专注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来传递内容来满足用户的需求。用户的行为可以通过智能手机等内置传感器的移动设备来收集。因此,所提出的云计算环境中的智能电子学习模型为用户提供个性化和定制化的学习服务。