Enhancing QoS context-aware ubiquitous learning by utilizing logical and physical characteristic of device

Ubiquitous Learning changing the existing paradigm of learning that is a learning process everywhere, every time and anything into the learning process right place, right time and the right thing, so that the determination of the appropriate content for the user and the system's ability to adapt to the user is important in ubiquitous learning. Context aware in ubiquitous learning can be used to achieve this. This paper will use two existing contexts, namely Infrastructure Context and Device Context. Besides using those 2 contexts, this paper will also propose the use of QoS (Quality-of-Service) in the process of delivering content to the user. QoS (Quality-of-Service) is used to determine the quality of the content that will be provided to the user based on the network bandwidth (infrastructure context) and the response time from the user. In addition, the characteristics of the device used by the user will also affect the content that will be provided to the user. Characteristics of devices that will be used in this paper is divided into two; logical characteristics that will play a role in determining the content and physical characteristics that will play a role in determining the interface of ubiquitous learning system that will be built.