Research On E-learning Behavior And Its Analyze System

With the development of the computer network technology, the distance education based on the Internet has become a new developing application. Research on the instruction and learning based on the Internet has become a hot focus, too. Research on the E-learning behavior, will be benefit to the organization, the management and the guidance of the course under the terms to network for teachers, will be benefit to the development of educational resources and platform too. In one word, it has important meaning in improving the effect to distance education. However, the domestic and international study on this subject is still less than satisfactory at present, especially still lack systematically, carefully research on E-learning behavior at home.Analysis E-learning behavior is the prerequisite to launch the network instruction system design and develop the educational resources online. Define the basic conception, the new characteristic and the influencing factors of E-learning behavior, well known the E-learning behavior's producing function and modes, is the key to solve the problem in the resource design and the effect assessment of E-learning.The thesis has analyzed E-learning behavior's conception, composition, system structure and key elements influencing through documents mainly. On this basis, we proposed a multi-dimension model and a multi-level model to E-learning behavior from horizontal and vertical latitudes. After analyzed the common E-leaming behavior's quantitative parameter, we designed an intelligent E-learning behavior analyze system.In our opinion, the E-learning behavior is a system. It includes behavior subject, behavior object, behavior tools, behavior society (group), organization rules and task that a person in the group divided. Compared with the learning behaviors in traditional study environment, the E-learning behavior has some new characteristics. Also, it was affected by a serious of factors inside and outside the learner.Through the analysis on E-learning behavior's basic conceptions, we proposed a multi-dimension model and a multi-level model of the E-learning behavior. Among the multi-dimensional model, E-learning behavior is divided into five categories: the learning behavior through information searching, the learning behavior through informationprocessing, the learning behavior through information issue, the learning behavior through interpersonal communication and exchange and the learning behavior based on the problem solving. Among the multi-level model, E-learning behavior is divided into three categories: the primary level, the middle level and the advanced levels. We analyzed the common E-learning behaviors' quantitative parameter, expected to be helpful for the development of intelligent E-learning behavior analysis system.On the E-learning behavior models above, we designed an intelligent E-learning behavior analyze system. The system can gather, count, assess and intelligence feedback to E-learning behaviors. To develop this system, it mainly used technologies below, such as CELTSC's learner information model and learn object model, data mining and Web Service and so on.Through this research, can make it clear for us to understand the E-learning behaviors. Also, it has important meaning to develop effective educational resources, help teachers to organize and guide the teaching of the course, to assess the learning effect, develop effective educational platform, etc.