Application And Research Of Modern Network Teaching Platform Based On Big Data

The development direction of web-based instruction is personalized teaching based on user needs.The application of large data technology to the online network teaching platform can effectively solve the problems of the number and confusion of teaching resources,the difficulty of user selection,the weak management of the network learning process,the lack of efficient use of teaching resources and the lack of users' sense of role.The application of large data technology in the network teaching,to a certain extent,subverts the traditional teaching system,changes the unified location,the unified time and the unified content teaching mode.According to the results of the large data analysis,the learners can choose the time of the class flexibly,the place of class,and the individualization according to their own needs and characteristics.The decision making of customized teaching resources is not subjective,but through the analysis of big data and the decisions made on the basis of objective and credible data.The key and most important technical point of the application of big data in network teaching is the discovery of user needs.This paper studies the modern network teaching platform based on large data to realize the needs of the teaching platform and the optimization of teaching resources,so as to make full use of the teaching resources.The main research contents of this paper include the following four parts.Firstly,the analysis of the problems facing the current network teaching.The important stage of the development of web-based education in China is deeply studied and analyzed,and the main problems faced by the network and the opportunities brought by the large data technology to the network teaching are analyzed.Secondly,user image analysis and modeling representation of network teaching platform.From five dimensions of user attribute,learning role,learning process,learning object and learning task,the user portrait of network teaching platform based on large data is analyzed and based on ontology technology.Thirdly,the research of user image matching algorithm.The user needs are expressed from three dimensions of query conditions,screening rules and sorting rules.The decision tree algorithm combined with ontology reasoning method is used to study the matching of user portrait.Finally,system design and implementation.Design,implement and test the web-based teaching platform based on big data.