The study and design of adaptive learning system based on fuzzy set theory

Authors:
Bing Jia;Shaochun Zhong;Tianyang Zheng;Zhiyong Liu
Affiliations:
Ideal Institute of Information and Technology in NENU, ChangChun, JiLin;Ideal Institute of Inf. and Techn. in NENU, ChangChun, JiLin and Eng. & Research Center of E-learning, ChangChun, JiLin and E-learning laboratory of Jilin Province, ChangChun, JiLin and School ...;Ideal Institute of Information and Technology in NENU, ChangChun, JiLin;Ideal Institute of Information and Technology in NENU, ChangChun, JiLin and School of Software in NorthEast Normal University, ChangChun, JiLin
Venue:
Transactions on edutainment IV
Year:
2010

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Abstract

Adaptive learning is an effective way to improve the learning outcomes, that is, the selection of learning content and presentation should be adapted to each learner's learning context, learning levels and learning ability. Adaptive Learning System (ALS) can provide effective support for adaptive learning. This paper proposes a new ALS based on fuzzy set theory. It can effectively estimate the learner's knowledge level by test according to learner's target. Then take the factors of learner's cognitive ability and preference into consideration to achieve self-organization and push plan of knowledge. This paper focuses on the design and implementation of domain model and user model in ALS. Experiments confirmed that the system providing adaptive content can effectively help learners to memory the content and improve their comprehension.