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- W2789872759 abstract "We propose a new change detection method using clickstream data collected through an e-Book system. Most of the prior work has focused on the batch processing of clickstream data. In contrast, the proposed method is designed for online processing, with the model parameters for change detection updated sequentially based on observations of new click events. More specifically, our method generates a model for an individual student and performs minute-by-minute change detection based on click events during a classroom lecture. We collected clickstream data from four face-to-face lectures, and conducted experiments to demonstrate how the proposed method discovered change points and how such change points correlated with the students' performances." @default.
- W2789872759 created "2018-03-29" @default.
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- W2789872759 date "2018-03-07" @default.
- W2789872759 modified "2023-09-26" @default.
- W2789872759 title "Online change detection for monitoring individual student behavior via clickstream data on E-book system" @default.
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- W2789872759 doi "https://doi.org/10.1145/3170358.3170412" @default.
- W2789872759 hasPublicationYear "2018" @default.
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