Context awareness system on ubiquitous learning with case based reasoning and nearest neighbor algorithm

Several learning technologies have been developed over the years in order to help distance learning process. However, those technologies are still not enough to give the proper interaction between their users and the technologies themselves. It is caused by the absence of the technologies ability to give context based on their users conditions. When human interacts with each other, they understand each other and use information that is situational or in the form of context that can enhance the quality of the interaction. This human capability is not present in computers to interact with human. Those learning technologies can be developed to give context that are self-adjusting to the users conditions based on ubiquitous computing accompanied by context awareness system. This kind of technology is called ubiquitous learning. Context awareness system acts as the system to control the context passing to the user. This paper will discuss the design and test plans of the context awareness system that is developed by using Case Based Reasoning and Nearest Neighbor algorithms to build or develop a system that is capable of giving appropriate context to learners in a learning technology.