Research On The Construction Of Mobile Learning Service

Mobile Learning emerges as the development of information technology and the popularization of wireless communication devices, as a new learning mode, M-learning make full use of wireless technology and mobile computer equipment to aid teaching. Especially the appearance of 3G technology, the 3G technology coped with multimedia information such as image, music, video stream, and provide multiple information services including web page browsing, conference call, e-commerce and so on. students' learning no longer restrict by time and location via 3G mobile phone and other intelligent terminal equipment, it will have positive and deep influence on the student education.M-learning has many advantages such as personalization, popularization, convenient and so on,therefore has great potentiality. However as a new learning modal, M-learing is a new research field and there are still many problems awaiting solution. Effectively using mobile computer aided teaching and learning become research center of this field. therefore it has important significance to study on the construction of M-learning service.Having thoroughly researched the M-learning technology, in this paper, we propose a construction method of mobile learning service. The method constructs personalized knowledge based on M-Learning database via multithread network crawl classifier. It establishes grid node and shares data resources. On the management of grid service, learners acquire knowledge from grid node by the short message service application.The main contributions of this paper conclude: (1) The design and realization of multithread network crawl classifier, construct knowledge database of mobile learning service. (2) propose a network modal based on WebService, construct grid node and network resources by use of the characteristics that WebService is integrated into data grid. (3) SMSA developed by short message service(SMS) send and receive short message with short message gateway by Computer Telephony Integration Gateway (CTIGW), meanwhile search and feedback resources on the grid service. (4) Quite good solves problem of heterogeneity, scattered distribution through browser access grid node, and realize the learn model based on browser.