Teaching Resources Personalized Service Model And Technology Research

With the development and widespread of network, E-teaching has become one of the most important ways of educating and researching. In order to make the network and IT actually helpful to education, it's essential to optimize the teaching process and resources. The precondition to develop E-teaching is to establish an integrative system of teaching resources.The present system of teaching resources mainly serves to supply developed courseware and teaching plans for users to transfer and download. It is not "user-centered", but "material-centered". Because the present teaching database isn't individualized or intelligentized, it is not convenient to manage and finding the wanted resources. As there is a wide variety of styles, expectations, paces of different learners, there is commonly a controversy between the sea of teaching resources and the individualized demands. Therefore, it brings about much waste of teaching resources. And on the other hand, it is very difficult for users to consult and find what they want. These problems prevent the teaching resources from working effectively in teaching.Aimed at the contradiction between individualized requirements and the masses of teaching resources, this paper designed an individualized service model of teaching resources, which employs the individualized information service on the Net into teaching. It defers to the differences of users, studies their habits and interest. By filtering the teaching resources, the precision researches and recommendation can be made. On the basis of ISMTR, this paper designed individualized modules for filtering, searches and recommendation. Moreover, the paper studied the individualized denotation of teaching resources, the extraction of users' interest, the establishment of users' models and some important technologies such as filtering, it also developed an experiment (ITRDS), and used the experiment to verify the realization method.The paper has several specialties. On the information store of individualized characters, the paper made use of individualized character database to record the users' individualized accessing. The system can extract the characters of the users to get the eigenvector of every individual and cluster the similar users to get the eigenvector of groups. Then these two eigenvectors will be integrated to form the integration eigenvector. The model realizes information filtering by individual filtering, collaborative filtering and integration filtering. The group users model contains the interest of individuals and the interest of groups. So the integration eigenvector will certainly result in high precision of individual filtering and high recall of collaborative filtering.There are a few significances. This paper put forwards the realization of the individualized service model of teaching resources to solve the contradiction between individualized requirements and the masses of teaching resources, and it's helpful to make the teaching resources database individualized and intelligentized. The integration filtering can be used in reference in other individualized information services such as E-business. It also describes the users' interest by the real interest parameter and the integrated interest parameter, and made use of individualized character database to record the users' individualized accessing.