International Journal of Information Technology & Computer Science ( IJITCS )
To deliver effective personalization of Web-based Learning System (WBLS) users, it is important to provide matching instructional strategies to enhance users’ learning performance. Therefore it is necessary to identify different types of learning model that conducted by users in their learning progresses. This study utilizes kmeans clustering technique to understanding users behavior by using eight interaction variables. According to the results from k-means clustering, there are three different learning models in WBLS users and users in different level of knowledge and different type of cognitive style using different model to learn.
: Web-based learning system, usage model, human factors
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