An Improved Design of the Ubiquitous Learning System Based on Sensor Networks

With the great progress of information technologies, computers are embedded into everywhere to make our daily life convenient, efficient and invisible. In order to utilize this progress for learning, a scheduler system, a Ubiquitous Learning system (ULS) was proposed. ULS contributes a lot to improve student's learning efficiency. Yet improvement can still be made to the system by using sensor networks. In our new design, we embed various kinds of sensors, like temperature sensor, oxygen sensor, light sensor, into the environment. Based on the information collected by such sensors, decisions can be made by the control center to adjust the environment automatically for learner. Our research result reveals that the improved ULS not only benefited learners to acquire their learning habits but also improve their learning efficiency.