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The analysis of college students’ learning behaviour is necessary and important in blended learning. We have exacted 18 behavioural indicators using data mining algorithms to measure how students to learn. This results tell us that understanding how students learn in a blended environment can help teachers tailor their methods to better suit each student's needs.

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This page is a summary of: Analysing and predicting learning behaviours in computer science: A case study of the blended teaching mode in Digital Signal Processing course, Journal of Computational Methods in Sciences and Engineering, June 2024, IOS Press,
DOI: 10.3233/jcm-247160.
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