[Objective] This study reveals the private colleage students’ typical online life styles based on their usage of a navigational Web portal. [Methods] First, we collected the click and search data of the navigation page specifically designed for students. Then, we modeled the data and applied the K-means cluster algorithm to categorize the student behaviors. [Results] We found six major behaviors among private college students. However, these students mainly use the Web to watch videos, while only a small number of students use the Web to learn. [Limitations] The size and dimensions of the data need to be expanded. [Conclusions] This study identifies typical online life styles of private college students, which could help schools improve their administraion and services.
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