Research On Personalized Learning Support Service Platform Based On IOS

With the rapid development of educational reforms and science and technology, the development of education has become increasingly diversified. Computer information technology applications in education are becoming an increasingly large, it appeared to distance learning, mobile learning as the representative of e-learning. However, for students which are still in the classroom-based education, such as online learning, there are still unable to penetrate the classroom, providing personalized learning services and other shortcomings. Therefore, research on classroom learning personalized service platform, personalized learning support has become the focus of attention.Development and widespread application of big data and mobile technology has greatly promoted the information technology into the traditional classroom teaching speed. The big data theory as support, it is possible to provide students with personalized learning services in the classroom.Based on the personalized learning theory, firstly, analyzes the characteristics and the main factors affect learning individualized learning; secondly, to establish a support service personalized learning platform, the establishment of learning resources and knowledge model based on ontology, and use of data mining modeling techniques, the establishment of personalized recommendation model resource; and finally, with the problems and needs generated in the process of teaching, design iOS-based mobile autonomous school system. Through this system, to provide students with personalized learning service, improve classroom teaching efficiency.The main research contents of this thesis are as follows:(1) Analysis of personalized learning features, and personalized learning influence factors for establishing a personalized learning platform to theoretical groundwork.(2) Build personalized learning platform model, refinement of personalized learning content. In the process of building a model, based on ontology describes a learning resource metadata model, and secondary knowledge model and described by OWL language, to provide support for data analysis platform.(3) Based on the double cluster analysis of learning resources and students, design collaborative filtering algorithm, establish the learning resource personalized recommendation model.(4) The development of autonomous learning system based on iOS.