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PISA 2018 School Questionnaire

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DataCite Commons2021-07-29 更新2025-04-16 收录
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https://ieee-dataport.org/documents/pisa-2018-school-questionnaire
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This article includes analyses using PISA data set, a program that measures the ability of 15-year-old students in reading, mathematics, and science, including OECD countries(about 80 countries). The PISA data set was published every 3 years from 2000 to 2018. In this article, we started our work by choosing the data set of the 2018 school questionnaire. While doing the analysis, we took the total score as a basis.[Fig.1] So science, reading and maths. While conducting this study, the analyzes we focused on were as follows; The effects of multicultural learning on success, the effects of private and public schools on student success, the opportunities provided by the school to the students, the effects of the excess and small size of the class on success, the funds given by the government to the school, the professional development of the instructors, the activities at the school, the lack of educational personnel and school materials. We also made comparisons with the Pisa score based on topics such as teacher behavior, and we analyzed the best country and the most unsuccessful country. Finally, by comparing with visualizations Turkey with China, which is the best country, and the Dominican Republic, which is the most unsuccessful country, we have made observations like these in which subjects we can be better at.

本文采用国际学生评估项目(Programme for International Student Assessment,简称PISA)数据集开展分析,该项目旨在测评15岁学生的阅读、数学与科学素养,覆盖经济合作与发展组织(Organisation for Economic Co-operation and Development,简称OECD)成员国及约80个国家/地区。该数据集于2000年至2018年间每3年更新发布一次。 本文研究首先选取2018年学校调查问卷数据集展开分析,分析过程以三科总分为基准[图1],涉及科学、阅读与数学三个学科。 本研究重点关注以下研究维度:多元文化学习对学生学业表现的影响;公立与私立学校对学生学业表现的影响;学校为学生提供的发展机遇;班级规模过大或过小对学业表现的影响;政府拨付至学校的办学经费;教师的专业发展情况;学校开展的各类教学活动;教育人员配备不足及教学物资匮乏等问题。 此外,本研究还围绕教师行为等主题结合PISA得分展开对比分析,并对学业表现最优与最差的国家进行了研判。 最后,通过可视化对比表现最优的中国、表现最差的多米尼加共和国与土耳其的相关数据,本研究总结出土耳其在哪些学科领域具备竞争优势。
提供机构:
IEEE DataPort
创建时间:
2021-07-29
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