Comparative Study of Prediction Models for Final GPA Score: A Case Study of Rajabhat Rajanagarindra University

机译：最终GPA评分预测模型的比较研究 - 以rajabhatrajanagarindra大学为例

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Recently, the analysis of educational data has become important to all universities. Rajabhat Rajanagarindra University, Thailand, wanted to study and analyze the students' performance based on their personal background. Thus, this research aimed to compare prediction models for the level of the final grade point average (GPA) score of graduated students using the data from the Faculty of Education during the 2010 to 2012 academic years. Two decision tree (C4.5 and ID3) algorithms, plus Na?ve Bayes and K-nearest neighbor data mining techniques were adopted to analyze the data according to the CRISP-DM process. Factors that were proposed to influence the graduation GPA include the student's gender, scholarship awarded, previous educational background, admission type, talent and province of high school. The analysis revealed that the Na?ve Bayes algorithm gave the best overall accuracy of 43.18%. This could help predict the graduation GPA score of students in the future and support teachers to make educational advice for their students and to develop the student quality in the future.

机译：最近，教育数据的分析对所有大学都很重要。 Rajabhat Rajanagarindra University泰国，想根据个人背景学习和分析学生的表现。因此，这项研究旨在将2010年至2012年学年中教育部的数据与毕业生的最终成绩点平均水平（GPA）评分进行了比较预测模型。采用两个决策树（C4.5和ID3）算法，加上Na ve贝雷斯和k最近邻居数据挖掘技术，以根据CRISP-DM过程分析数据。建议影响毕业GPA的因素包括学生的性别，奖学金，以前的教育背景，录取类型，高中才能和省。该分析显示Na ve贝雷斯算法的总体精度为43.18％。这有助于预测未来学生的毕业GPA评分，支持教师为学生做出教育建议，并在将来发展学生素质。

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《IEEE/ACIS International Conference on Computer and Information Science》|2018年|893p|共6页
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Narongsak Putpuek; Natcha Rojanaprasert; Kanokwan Atchariyachanvanich; Thananya Thamrongthanyawong;
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中图分类计算技术、计算机技术;
关键词
Scholarships; Data mining; Decision trees; Predictive models; Data models; Prediction algorithms; Classification algorithms;

机译：奖学金;数据挖掘;决策树;预测模型;数据模型;预测算法;分类算法;

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Comparative Study of Prediction Models for Final GPA Score: A Case Study of Rajabhat Rajanagarindra University

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