Representation And Acquisition Of Characteristic Value Of Learner Model In Adaptive Learning System

Along with the information technology and social sciences' fast development, E-Learning is an increasingly popular way of learning into the school education and family education. In this context, adaptive learning system for out call it different from the learner as the starting point, according to the different characteristics of each learner to provide a suitable learning environment, learning activities, learning process. In an adaptive system, the most critical aspect is the construction of learner model. Most of learner model is mainly the existence of such problems, not enough scientific, poor computability of representation and a single and subjective Characteristic value acquisition method. so that lead to a lack of satisfaction about the result of deducing , Even cause learner's cognitive overload or disorientation. In this paper, we carry out research in the light of these problems. Learner model aims to construct a reasonable and effective model base on the research of represent and acquisition method for adaptive learning to provide effective support.In the first place, conclusion is drawn that the adaptive learning system designing principles and general architecture based on the domestic and adaptive learning system analysis. And analyzes the importance of learner model in the system.Next, we propose a new learner model called ALM(Advanced Learner Model)which is consisted of knowledge level, cognitive ability and preferences, based on research position and the related theory. Give the representation method respectively by the collection and ordered pair. And respectively introduce the acquisition method of the three characteristic value of ALM based on fuzzy logic theory, linear method and space vector. Then describes the initialization and evolution of the ALM process.Finally,we propose an adaptive learning system called NalsALM based on ALM. Respectively introduce the designing method and the realizing method of NalsALM. And take the physical learning as example to evaluate the effect of the system. Experimental studies have shown that the model can achieve self-organization and the push based on learner objectives, knowledge level, ability, personality characteristics and other factors of effective learning resources to meet the learning needs of individual learners.