Improve Mobile and Ubiquitous Learning with a Self-Propelled Toy Car Based Learning System

Abstract

 Abstract—How to improve mobile and ubiquitous learning with an innovative approach is a challenge task. To achieve this objective, we designed and implemented a self-propelled toy car based learning system. Our new learning system integrated various advanced technologies such as the Radio Frequency Identification (RFID), location service, wireless sensor network, an attractive remote control toy car, three-dimensional toy models and multimedia teaching contents, etc. With the aid of this system, the teacher can easily conduct teaching activities in the classroom, the building hall or the outdoor anytime. The most important features of our system are not only to save the students' trouble and cost on transportation to learn, but also to motivate the students to learn knowledge as if they are playing the game with the toy car. Our learning system has merits of easily assembling and flexibly updating teaching content. efficiency of mobile learning and motivate the student study. In our system, a self-propelled toy car is modified and integrated with advanced technologies such as wireless sensor network, Radio Frequency Identification (RFID), Infrared and location service, etc. Moreover, abundant teaching materials including maps, three-dimensional toy models, photos, texts, audio-visual multimedia information are involved in the system to enrich teaching contents. Thus, the whole learning environment is improved to more attractive when compared with other existing learning me- thods. With the aid of our new learning system, the students are motivated to actively participate in learning and can easily understand the learning knowledge. Our learning system has merits of easily assembling and flexibly updating teaching contents. The reminder of this paper is organized as follows. In section two, various related works of mobile learning system are discussed. System analysis and design are described in section three. Section four presents details of system implementation. Finally, we conclude our work in section five.