Flexible and Contextualized Cloud Applications for Mobile Learning Scenarios
Flexible and Contextualized Cloud Applications for Mobile Learning Scenarios
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灵活、情境化的云应用，满足移动学习场景
DOI：
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发表时间：
2016
期刊：
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通讯作者：
M. Milrad
中科院分区：
文献类型：
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作者：
Alisa Sotsenko;Janosch Zbick;M. Jansen;M. Milrad
本章描述了我们在云计算(CC)环境下设计移动学习(m-Learning)应用程序的相关研究工作。许多基于云的服务可以在移动学习场景中使用/集成，因此，有丰富的应用程序来源，可以轻松地在基于云的服务环境中设计和部署这些应用程序。在这里，我们提出了两种基于云的方法-灵活的框架，用于为教师轻松生成和部署移动学习应用程序，以及灵活的情景服务，以支持移动学习者的个性化学习环境。该框架提供了一种灵活的方法，支持教师设计移动应用程序，并自动部署这些应用程序，以便允许教师创建自己的移动学习活动，并由移动设备支持。语境化服务是为了改善学习对象的内容交付而提出的。该服务允许调整学习内容和移动用户界面(UI)以适应用户的当前环境。总而言之，这导致了一个强大而灵活的框架，用于提供潜在的临时移动学习场景。我们描述了两种建议的基于云的方法的设计和实施，并提供了场景示例。此外，我们还讨论了在移动学习场景中使用灵活且情景化的云应用程序的好处。因此，我们通过探索新的方法来设计和使用支持移动学习的灵活和情景化的基于云的应用程序，从而为这一不断增长的研究领域做出贡献。
This chapter describes our research efforts related to the design of mobile learning (m-learning) applications in cloud-computing (CC) environments. Many cloud-based services can be used/integrated in m-learning scenarios, hence, there is a rich source of applications that could easily be applied to design and deploy those within the context of cloud-based services. Here, we present two cloud-based approaches—a flexible framework for an easy generation and deployment of mobile learning applications for teachers, and a flexible contextualization service to support personalized learning environment for mobile learners. The framework provides a flexible approach that supports teachers in designing mobile applications and automatically deploys those in order to allow teachers to create their own m-learning activities supported by mobile devices. The contextualization service is proposed to improve the content delivery of learning objects (LOs). This service allows adapting the learning content and the mobile user interface (UI) to the current context of the user. Together, this leads to a powerful and flexible framework for the provisioning of potentially ad hoc mobile learning scenarios. We provide a description of the design and implementation of two proposed cloud-based approaches together with scenario examples. Furthermore, we discuss the benefits of using flexible and contextualized cloud applications in mobile learning scenarios. Hereby, we contribute to this growing field of research by exploring new ways for designing and using flexible and contextualized cloud-based applications that support m-learning.