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A new approach for building student model in an Adaptive and intelligent Web-based educational system (AIWBES) is introduced. This approach utilizes a hybrid algorithm based on Fuzzy-ART2 neural network and stochastic method called Hidden Markov Model (HMM), in order to evaluate and categorize students' knowledge status in six levels: Excellent, very good,(More)
To be fully usable, digital multimedia contents should be supported by a set of tools to query them, and more generally to manipulate them. This is one of the major goals of an audio database management system (DBMS). Existing work related to audio documents, e.g., radio or television archives, generally tackles the signal processing aspects, often leaving(More)
This paper demonstrates how hidden Markov model (HMM) approach is used potentially as a tool for predicting the next concepts visited by students in an adaptive and intelligent Web-based educational system (AIWBES) for teaching English as Foreign Language (EFL). This tool helps teachers to provide their students with appropriate assistance during the(More)
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