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• W2891982616 abstract "In this paper, we implemented an approach to predict final exam scores from early course assessments of the students during the semester. We used a linear regression model to check which part of the evaluation of the course assessment affects final exam score the most. In addition, we explained the origins of data mining and data mining in education. After preprocessing and preparing data for the task in hand, we implemented the linear regression model. The results of our work show that quizzes are most accurate predictors of final exam scores compared to other kinds of assessments." @default.
• W2891982616 created "2018-09-27" @default.
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• W2891982616 date "2018-06-01" @default.
• W2891982616 modified "2023-09-24" @default.
• W2891982616 title "Predicting Academic Performance of Students in UAE Using Data Mining Techniques" @default.
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• W2891982616 doi "https://doi.org/10.1109/icacce.2018.8458053" @default.
• W2891982616 hasPublicationYear "2018" @default.
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