A New Framework for Scholarship Predictor Using a Machine Learning Approach  

作　　者：Bushra Kanwal Rana Saud Shoukat Saif Ur Rehman Mahwish Kundi Tahani AlSaedi Abdulrahman Alahmadi 

机构地区：[1]School of Science and Technology,Foundation University Islamabad,Rawalpindi,46000,Pakistan [2]University Institute of Information Technology,PMAS-University of Arid Agriculture,Rawalpindi,46000,Pakistan [3]Maynooth International Engineering College,Maynooth University,Maynooth,W23 F2H6,Irland [4]Applied College,Taibah University,Madina,42353,Saudi Arabia

出　　处：《Intelligent Automation & Soft Computing》2024年第5期829-854,共26页智能自动化与软计算（英文）

摘　　要：Education is the base of the survival and growth of any state,but due to resource scarcity,students,particularly at the university level,are forced into a difficult situation.Scholarships are the most significant financial aid mechanisms developed to overcome such obstacles and assist the students in continuing with their higher studies.In this study,the convoluted situation of scholarship eligibility criteria,including parental income,responsibilities,and academic achievements,is addressed.In an attempt to maximize the scholarship selection process,numerous machine learning algorithms,including Support Vector Machines,Neural Networks,K-Nearest Neighbors,and the C4.5 algorithm,were applied.The C4.5 algorithm,owing to its efficiency in the prediction of scholarship beneficiaries based on extraneous factors,was capable of predicting a phenomenal 95.62%of predictions using extensive data of a well-esteemed government sector university from Pakistan.This percentage is 4%and 15%better than the remainder of the methods tested,and it depicts the extent of the potential for the technique to enhance the scholarship selection process.The Decision Support Systems(DSS)would not only save the administrative cost but would also create a fair and transparent process in place.In a world where accessibility to education is the key,this research provides data-oriented consolidation to ensure that deserving students are helped and allowed to get the financial assistance that they need to reach higher studies and bridge the gap between the demands of the day and the institutions of intellect.

关 键 词：EDUCATION data mining C4.5 algorithm decision support system scholarship guarantee machine learning 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程] TP39[自动化与计算机技术—控制科学与工程]