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

Figshare2021-08-06 更新2026-04-28 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

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This file contains 3 classes of students.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 containscore, duration time, number of actions of one question.

创建时间：

2021-08-06