Predicting Students Performance in Exams using Machine Learning Techniques
Author:
Affiliation:
1. The University of the Witwatersrand,School of Computer Science and Applied Mathematics,Johannesburg,South Africa
2. The University of the Witwatersrand,Science Teaching and Learning Unit Faculty of Science,Johannesburg,South Africa
Funder
National Research Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9734114/9734115/09734218.pdf?arnumber=9734218
Reference12 articles.
1. Educational Data Mining: Enhancement of Student Performance model using Ensemble Methods
2. Determining the impact of demographic features in predicting student success in Croatia
3. Data Mining Practical Machine Learning Tools and Techniques;witten;Morgan Kaufmann,2016
4. Information gain and mutual information for machine learning;brownlee,2019
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Predicting and Analyzing Student Exam Behavior with Distributed Machine Learning;2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS);2024-03-14
2. Students' Performance Prediction in Higher Education Using Multi-Agent Framework-Based Distributed Data Mining Approach;International Journal of Virtual and Personal Learning Environments;2023-08-25
3. A systematic review of the literature on machine learning application of determining the attributes influencing academic performance;Decision Analytics Journal;2023-06
4. Analysis of Student Study of Virtual Learning Using Machine Learning Techniques;International Journal of Software Science and Computational Intelligence;2022-09-30
5. (SDGFI) Student’s Demographic and Geographic Feature Identification Using Machine Learning Techniques for Real-Time Automated Web Applications;Mathematics;2022-08-28
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3