Concept maps as hypermedia components
International Journal of Human-Computer Studies - Special issue: knowledge-based hypermedia
A Two-Phase Fuzzy Mining and Learning Algorithm for Adaptive Learning Environment
ICCS '01 Proceedings of the International Conference on Computational Science-Part II
A conceptual map model for developing intelligent tutoring systems
Computers & Education
A new approach for constructing the concept map
Computers & Education
Automatically constructing concept maps based on fuzzy rules for adapting learning systems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A new approach for automatically constructing concept maps based on fuzzy rules
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
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The study proposes a complete and practical adaptive tutoring learning model (ATM). ATM calculates every learner's score of each concept and indicates his/her misconceptions. Then apply fuzzy association rule mining approach to find out all the prerequisite relationship between concepts and concepts, and to construct a concept map. Based on the constructed concept map and misconceptions, ATM determines his/her main learning barriers. Finally, for solving learning barriers, ATM will suggest the learner an adaptive learning material by analyzing the ratios of the concepts contained in each material.