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Representation and Acquisition of Characteristic Value of Learner Model in Adaptive Learning System

Author: JiaBing
Tutor: ZhongShaoChun
School: Northeast Normal University
Course: Computer Software and Theory
Keywords: Adaptive Learning System Learner Model Fuzzy Logic Data Mining ALM
CLC: TP391.6
Type: Master's thesis
Year: 2010
Downloads: 182
Quote: 2
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Abstract


With the rapid development of information technology and social science, E-Learning is an increasingly popular way of learning into the school education and family education. Adaptive learning system and call out from a learner differences as a starting point, according to the different characteristics of each learner its provision of appropriate learning environment, learning activities, the learning process. Adaptive systems, the most critical part is the establishment of the learner model. Most learner model there is not enough scientific concerned about dimensions, said the computability poor eigenvalue get a single subjective question. Existence of these problems easily lead to the learner's ability and the difficulty level of recommended learning resources do not match, and even lead to cognitive overload of the learner in the learning or lost. Solve the above problem, the study aims to research by the learner model representation and acquisition method, to build a reasonably effective model to provide effective support for adaptive learning. Firstly analysis of research on adaptive learning system at home and abroad, summarizes the design principles of the adaptive learning system is obtained. Based on this principle, the general architecture of the adaptive learning system, and analyze the importance of the learner model system. Second, research-based positioning, relevant educational theory supported by a level of knowledge, the three elements of cognitive ability and preference information (feature items) constitute a new learner model AL (MAdvanced Learner Model), and respectively, using the method of collection and ordered pair represented these three characteristics. After, respectively, given three feature items eigenvalues ??ALM acquisition method, the integrated use of fuzzy logic theory, linear calculation method, the method of space vector of the learner's knowledge level, cognitive ability and preference information to estimate , to obtain the corresponding characteristic values. From multi-angle approach to build a model of learners, given ALM initialization and evolution. Of ALM application case studies, design and working principle of the ALM-based adaptive learning system NalsALM and learning sports knowledge, for example the effect of the system was evaluated. Experimental studies have shown that the model can achieve the goal of the learner, the existing level of ability, personality traits, and other factors of effective self-organization and push of learning resources to meet the learning needs of learners personalized.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Teaching machine, learning machine
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