Variables Affecting 21st Century K-12 Students’ Mathematics Achievements: A Systematic Review

Isaac Gyan Ayeh
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Abstract

Purpose: This study aimed to use a systematic review of factors affecting K-12 mathematics achievement in the 21st century using only peer-reviewed articles published from 2012 to 2022. Methodology: A systematic literature review of factors affecting K-12 mathematics achievement in the 21st century using only peer-reviewed articles published from 2012 to 2022. The Boolean search approach was employed to gather articles from electronic research databases. Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) were used to select a final of 65 articles for the study. A total of 33 axial codes were identified as specific factors from the systematic review conducted. Findings: Analysis of the research questions showed a high percentage of the articles conducted in Europe, North America, and Asia, with fewer publications on other continents. The findings showed low published research articles in the era of the COVID-19 pandemic. A final review of the 65 articles uncovered a total of 32 axial codes as the specific variables affecting K-12 students’ mathematics achievements. These axial codes include gender, socioeconomic status, teacher qualification, and class size. Unique Contribution to Theory, Practice, and Policy: While many of these studies have found students, teachers, and schools-related variables as predicting or affecting students’ mathematics achievement, comprehensive research into the specific factors within the identified variables is less researched.  This study will bridge this gap and contribute to the research and academic resources pool. Governments and other education stakeholders worldwide can use the findings from this study as a guide in making decisions and improving learners' academic standards.
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影响 21 世纪 K-12 学生数学成绩的变量:系统回顾
目的:本研究旨在对 21 世纪影响 K-12 数学成绩的因素进行系统回顾,仅使用 2012 年至 2022 年期间发表的同行评审文章。研究方法:仅使用 2012 年至 2022 年发表的同行评审文章,对 21 世纪影响 K-12 数学成绩的因素进行系统的文献综述。采用布尔搜索法从电子研究数据库中收集文章。采用《系统综述和元分析首选报告项目协议》(PRISMA-P),最终选择了 65 篇文章进行研究。在进行的系统综述中,共确定了 33 个轴向代码作为特定因素。研究结果对研究问题的分析表明,在欧洲、北美和亚洲发表的文章比例较高,而在其他大洲发表的文章较少。研究结果显示,在 COVID-19 大流行时期发表的研究文章较少。对 65 篇文章的最后审查发现,影响 K-12 学生数学成绩的具体变量共有 32 个轴向代码。这些轴向代码包括性别、社会经济地位、教师资格和班级规模。对理论、实践和政策的独特贡献:尽管许多研究发现学生、教师和学校相关变量会预测或影响学生的数学成绩,但对已确定变量中具体因素的综合研究却较少。 本研究将弥合这一差距,为研究和学术资源库做出贡献。世界各国政府和其他教育利益相关者可以利用本研究的结果作为决策和提高学习者学术水平的指南。
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