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With the great progress of technologies, computers are embedded into everywhere to make our daily life convenient, efficient and comfortable. Further more, most of them are small, powerful, intelligent and invisible. In a ubiquitous computing environment, support methods for learning are more effective than some traditional ways, such as WBT (Web-based training) and e-learning. In this paper, we proposed a support method which aims to encourage a learner to acquire his/her learning habit based on behavior analysis. The supports to the learner are provided through a scheduler system, a ubiquitous learning scheduler (ULS). In our design, the learner's situations are collected by sensors and analyzed by comparing them to his/her learning histories. Based on this information, supports are provided to the learner in order to help him/her forming a good learning style. Our research results revealed that ULS not only benefited learners to acquire their learning habits but also improved their self directed learning styles.