Design and Implementation of an Adaptive Learning Diagnosis System based on Fuzzy Theory
碩士 === 國立成功大學 === 電腦與通信工程研究所 === 97 === In this paper, I present an application of fuzzy theory for adaptive learning diagnosis system, called FADS. This system uses concept similarity method to compute association between item and teaching materials. According to his/her learning response status ,...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/46248826643392174199 |
| Summary: | 碩士 === 國立成功大學 === 電腦與通信工程研究所 === 97 === In this paper, I present an application of fuzzy theory for adaptive learning diagnosis system, called FADS. This system uses concept similarity method to compute association between item and teaching materials. According to his/her learning response status , to mark the paragraph on the reading area on-line automatically. Every learner has different adaptive mark on the teaching materials. To remind learner taking care the deep and thick paragraph. The system depends on the learning status and association between item and teaching materials to compute learner’s degree of learning simultaneously. The difficulty ratio of chapter and item are transferred by the fuzzy membership function to pick up suitable items for learner. The system was demonstrated by using a society course. There are two hundred students that participated in the experiment to see if the learning effects of the experimental group higher than the others. FADS is a learning diagnosis system holding adaptation and resilience concurrently.
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