Reviewing the Factors Affecting PISA Reading Skills by Using Random Forest and MARS Methods

Özlem Bezek Güre, Hikmet Şevgi̇n, M. Kayri
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引用次数: 1

Abstract

The research aims to determine the factors affecting PISA 2018 reading skills using Random Forest and MARS methods and to compare their prediction abilities. This study used the information from 5713 students, 2838 (49.7%) male and 2875 (50.3%) female in the PISA 2018 Turkey. The analysis shows the MARS method performed better than the Random Forest method. The most significant factor affecting reading skills in Turkey is “the number of books in the house” in both methods. The variables the MARS method finds significant are “students' perception of difficulty, motivation for reading skills, father’s educational status, reading pleasure, bullying experience of the student, mother's educational status, attitude towards school, classical artifacts at home, supplementary school books at home, competition at school, competitive power, cooperation perception at school, reading frequency, self-efficacy, poetry books at home, anxiety about reading skills and teacher support.” However, the other variables had no relation to prediction. This study is expected to serve as an example of data mining application in educational research
运用随机森林和MARS方法考察影响PISA阅读能力的因素
该研究旨在使用随机森林和MARS方法确定影响2018年PISA阅读技能的因素,并比较它们的预测能力。这项研究使用了2018年土耳其PISA测试中5713名学生的信息,其中2838名(49.7%)男性和2875名(50.3%)女性。分析表明,MARS方法优于随机森林方法。在土耳其,两种方法中影响阅读技能的最重要因素是“家里的书的数量”。MARS方法发现显著的变量有“学生的困难感知、阅读技巧动机、父亲的教育状况、阅读乐趣、学生的欺凌经历、母亲的教育状况、对学校的态度、家中的古典器物、家中的辅助性书籍、学校的竞争、竞争力、学校的合作感知、阅读频率、自我效能感、家中的诗歌书籍、家庭的阅读能力”。对阅读技能和老师支持的焦虑。”然而,其他变量与预测无关。本研究可望为数据挖掘在教育研究中的应用提供范例
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