An intelligent graph mining algorithm to analyze student performance in online learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Education
Link
https://link.springer.com/content/pdf/10.1007/s10639-022-11447-0.pdf
Reference46 articles.
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4. Asselman, A., Khaldi, M., & Aammou, S. (2021). Enhancing the prediction of student performance based on the machine learning XGBoost algorithm. Interactive Learning Environments, 1-20. https://doi.org/10.1080/10494820.2021.1928235
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