The Research And Practice Of Real-Time Monitoring Of E-Learning Behavior

Along with popularization of Internet in China and the coming of a learning-oriented society, network education is flourishing. Now the focus of network education is transferring from providing teaching resources to organizing teaching activities. When organizing teaching activities, most of network schools always focus on the knowledge content organization, the designing of the network curriculum, the providing of the learning resources, but neglect the monitoring of the registered students, which is an important reason for low quality of network learning.The paper first has a literature review of the features of E-learning behavior, learning monitoring, and the monitoring of E-learning behavior published at home and abroad; and then puts forward a framework of E-learning monitoring and data collection methods based on online learning platforms of Radio and TV Universities after systematically presenting the meaning of E-learning behavior and significance of the monitoring of E-learning behavior. At the end of this paper, with a study on webdata mining, the author, with web log mining technology, gets the intelligent feedback of learning behavior. After a study on the key technology of the system, the paper presents a system model and database schema of the monitoring system of learning behavior, and then analyzes system design and effects of application of this system. The paper proposes several new ways of solving the problems of monitoring E-learning behavior, such as combining server log with database technology of online learning platforms of TV and Radio Universities when data collection of learning behavior so as to avoid inaccurate data about learning behavior; and getting the intelligent feedback of learning behavior by means of webdata mining technology.The paper designs and realizes a comprehensive and intelligent monitoring system of E-learning behavior, which can monitor learners' E-learning behavior and teaching platforms of TV and Radio Universities, can collect these data, and can get intelligent feedback from similar groups and related problems after mining these data.