E-learning System with estimation of understanding level by associative Cellular Neural Network

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This study constructs self-directed e-learning system which can autonomously give appropriate feedback to learners. We designed the system with associative Cellular Neural Network which has remarkable classification function of ambiguous data. This study generated learner's data for estimation by using objective data(accuracy, answer time and difficulty). Experimental results demonstrated usefulness of the system, and encouraged us to develop future education systems.