首页> 外文期刊>Indian Journal of Computer Science and Engineering >STUDENT FINAL GRADE PREDICTION BASED ON LINEAR REGRESSION
【24h】

STUDENT FINAL GRADE PREDICTION BASED ON LINEAR REGRESSION

机译:基于线性回归的学生最终成绩预测

获取原文
       

摘要

In the world of Massive Open Online Course (MOOC) and open education systems, students have flexibility tolearn anything with ease as the learning content is easily available. But this facility can make studentcomplacent. Therefore, it becomes difficult to predict student performance in advance. In this research anattempt is made to help the student to know his/her performance in advance by using univariate linear regressionmodel. We collected the marks of internal exam components of one subject to predict the final grade in thatsubject. The internal marks are normalized to 100 (percentage) to have accurate results. The model providespredicted grade of final examination in particular subject. It
机译:在大规模开放式在线课程(MOOC)和开放式教育系统的世界中,学生可以轻松轻松地学习任何内容,因为学习内容很容易获得。但是这种设施会使学生感到无聊。因此,很难预先预测学生的表现。在这项研究中,尝试使用单变量线性回归模型来帮助学生提前了解他/她的表现。我们收集了一个科目的内部考试成分的分数,以预测该科目的最终成绩。内部标记被标准化为100(百分比)以得到准确的结果。该模型提供了特定科目的期末考试的预期成绩。它

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号