Machine Learning Techniques of Predicting Student's Performance

J. Kumar, Ritu Vashistha, Kushwant Kaur, Siroj Kumar Singh
{"title":"Machine Learning Techniques of Predicting Student's Performance","authors":"J. Kumar, Ritu Vashistha, Kushwant Kaur, Siroj Kumar Singh","doi":"10.1109/APSIT58554.2023.10201696","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSIT58554.2023.10201696","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

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.
预测学生表现的机器学习技术
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信