Framework for Predicting Students’ Performance–Review of Techniques

Subhabaha Pal
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Abstract

With the advent of self-funding institutions in the education sector, retaining students along all the semesters of the academic program in order to maintain the desired cash-flow through re-registration has become a major challenge. A common tendency of students is discontinuing a course if they fail in any subject. Hence, predicting students' probable performance in semester-end examination and helping them raise performance level by providing necessary guidance have become the need of the day. Many research works have been directed towards this area. This paper attempted to provide a comprehensive review of all major researches that have been undertaken  for prediction of student performance. It also attempted to suggest a common framework which can be used in studies related to student performance prediction. This framework can be used for predicting student performance on the basis of availability of relevant student data.
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预测学生技术绩效评价的框架
随着教育部门自筹资金机构的出现,在学术课程的所有学期中留住学生,以便通过重新注册来维持所需的现金流已成为一项重大挑战。学生们的一个普遍趋势是,如果任何一门功课不及格,他们就会停止这门课。因此,预测学生在期末考试中的可能表现,并通过提供必要的指导来帮助他们提高成绩水平已成为当今的需要。许多研究工作都是针对这个领域的。本文试图提供一个全面的审查,所有主要的研究已经进行了预测学生的表现。它还试图提出一个共同的框架,可用于与学生成绩预测相关的研究。该框架可用于根据相关学生数据的可用性预测学生的表现。
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