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- W2913834905 abstract "Education field is rich of data, and machine learning used in this field are increasing lately. Based on their first semester result, using machine learning techniques, the student's final year result (GPA) can be predicted. The data used in this experiment are from the computer science subjects, 6 subjects, 1 laboratories results and the GPA on their graduation year. The techniques used in this experiment are Generalized Linear Model, Deep Learning and Decision Tree. From this result, what are the important factors that impact on the result can be extracted to help the students prepared themselves earlier." @default.
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- W2913834905 date "2018-09-01" @default.
- W2913834905 modified "2023-09-25" @default.
- W2913834905 title "Using Machine Learning Techniques to Earlier Predict Student's Performance" @default.
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- W2913834905 doi "https://doi.org/10.1109/inapr.2018.8626856" @default.
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