| In today’s rapid development of mobile Internet, mobile learning should become a hot research. For the secondary vocational school in reading student’s structure is more complex, the quality level of the students exist larger differences, in this paper, to meet the demand of secondary vocational education for the purpose, using Bayesian classification algorithm to construct a learning style model, in-depth study of related technologies of streaming media transmission, thus the design and implementation of based on the Android platform micro video course mobile learning platform, secondary vocational teaching mode innovation, enhance the efficiency of teaching in secondary vocational school.Learning the basic knowledge and realization technology in the in-depth study of the learning mobile, according to the structure of students in vocational schools is more complex, there is a big difference between the quality level of the students of the problem, learning style model of students by using the Bayesian network, the learning style, personalized video recommendation; In order to ensure the smooth transmission of micro video, focus on the transmission of streaming media technology and realization method. Because the design of this paper is the micro video course mobile teaching, video on demand and multimedia data transmission is the key link of the system implementation. Video playback will inevitably involves a large amount of data channel propagation, is not smooth and large network delay broadcasting problems. Therefore, this paper in the study of flow media transmission technology and algorithms based on the proposed adaptive bandwidth real-time streaming media synchronization algorithm based on delay estimation of network flow media real-time synchronization algorithm two solutions; and study of mobile systems development technology, uses a layered architecture design, each module of the system coding to achieve, and the test and analysis of the system function, performance and compatibility.Based on researching bayesian network, streaming media real-time transmission based algorithm and the application of Android technology, realizes the micro video course of mobile learning platform based on Android. After testing, the platform has a good interface and real-time video transmission capabilities, to meet the actual teaching and learning needs of teachers and students. |
