A Multi-factor Fuzzy Inference and Concept Map Approach for DevelopingDiagnostic and Adaptive Remedial LearningSystems

This paper proposes a method for evaluating learning achievementand providing personalized feedback of remedialsuggestion and instruction for learners. It functions as a combination of threeparticular processes.The first isbased on learners’ test results to calculate the values of four diagnostic factors - accuracy rate, test difficulty, confidence level, and length of answer time. The second is to employfuzzy theory to infer learning achievement of learners. The thirdprovides personalized feedback for learners based on concept map with cognitive taxonomy. Experimental results reveal that the proposed method can help learners to learn more effectively and efficiently.