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Predicting Student Class Loyalty and Plagiarism Using Artificial Intelligent via Online Blending Programming Education System During COVID-19 Epidemic

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DataCite Commons2021-08-28 更新2024-08-18 收录
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https://figshare.com/articles/dataset/Predicting_Student_Class_Loyalty_and_Plagiarism_Using_Artificial_Intelligent_via_Online_Blending_Programming_Education_System_During_COVID-19_Epidemic/15124056/2
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This file contains 3 classes of students.<br>Each dataset has 86 features.First feature is the ID of the student.The last feature is the final score of the student.from 2 to 85 features: every 3 features contain<br>score, duration time, number of actions of one question.<br>
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figshare
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2021-08-28
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