An International Comparison Study Exploring the Influential Variables Affecting Students’ Reading Literacy and Life Satisfaction

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2022-10-24 DOI:10.17583/ijep.8924

Hyewon Chung, Jung-in Kim, Eunjin (EJ) Jung, Soyoung Park

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引用次数: 1

Abstract

The Program for International Student Assessment (PISA) aims to provide comparative data on 15-year-olds’ academic performance and well-being. The purpose of the current study is to explore and compare the variables that predict the reading literacy and life satisfaction of U.S. and South Korean students. The random forest algorithm, which is a machine learning approach, was applied to PISA 2018 data (4,677 U.S. students and 6,650 South Korean students) to explore and select the key variables among 305 variables that predict reading literacy and life satisfaction. In each random forest analysis, one for the U.S. and another for South Korea, 23 variables were derived as key variables in students’ reading literacy. In addition, 23 variables in the U.S. and 26 variables in South Korea were derived as important variables for students’ life satisfaction. The multilevel analysis revealed that various student-, teacher- or school-related key variables derived from the random forest were statistically related to either U.S. and/or South Korean students’ reading literacy and/or life satisfaction. The current study proposes to use a machine learning approach to examine international large-scale data for an international comparison. The implications of the current study and suggestions for future research are discussed.

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影响学生阅读素养与生活满意度的国际比较研究

国际学生评估计划（PISA）旨在提供有关15岁学生学习成绩和幸福感的比较数据。本研究的目的是探索和比较预测美国和韩国学生阅读素养和生活满意度的变量。随机森林算法是一种机器学习方法，应用于PISA 2018的数据（4677名美国学生和6650名韩国学生），在305个预测阅读素养和生活满意度的变量中探索和选择关键变量。在每一项随机森林分析中，一项针对美国，另一项针对韩国，得出23个变量作为学生阅读能力的关键变量。此外，美国的23个变量和韩国的26个变量被推导出学生生活满意度的重要变量。多层次分析显示，从随机森林中得出的各种与学生、教师或学校相关的关键变量与美国和/或韩国学生的阅读素养和/或生活满意度在统计上相关。目前的研究建议使用机器学习方法来检查国际大规模数据，以便进行国际比较。讨论了当前研究的意义以及对未来研究的建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.