预测学生表现的机器学习技术

J. Kumar, Ritu Vashistha, Kushwant Kaur, Siroj Kumar Singh
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引用次数: 0

摘要

由于教育系统的大数据,学生的成绩预测变得更加困难。如今,大多数教育机构都在使用机器学习技术来改进他们的系统。运用这些技巧分析学生的表现,并帮助学生提高他们的表现。因此,需要对与该领域相关的所有论文进行系统回顾,以了解教育中的机器学习技术以及如何预测学生的表现。本文着重找出了作者常用的影响学生成绩的重要因素,以及常用的预测方法。
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Machine Learning Techniques of Predicting Student's Performance
Students’ performance prediction becomes more difficult due to the large data in education system. Now a days, most of the educational bodies are used Machine Learning techniques to make improvement in their system. Performance of the students is analyzed by using these techniques and help to students in improving their performance. Therefore, a systematic review of all papers related to this field is needed to understand the Machine Learning techniques in education and how to predict the performance of students. This paper focus on finding the important factors that affects the student performance used by the authors and also find the prediction methods is mostly used.
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