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A meta-analysis on the relationship between school characteristics and student outcomes in science and maths – evidence from large-scale studies
Studies in Science Education ( IF 4.9 ) Pub Date : 2020-01-02 , DOI: 10.1080/03057267.2020.1735758
Doris Holzberger 1 , Sarah Reinhold 1 , Oliver Lüdtke 2 , Tina Seidel 3
Affiliation  

ABSTRACT In the present meta-analysis, we examine how secondary school characteristics – such as schools’ academic press, school climate, material resources, personnel resources, classroom climate, instructional practices, out-of-school activities, and socioeconomic status (SES) composition – provide opportunities for students to engage in science and maths, and how these matter with regard to students’ cognitive and motivational-affective outcomes. The meta-analysis includes 71 (international) articles from large-scale studies with a total of 3,960,281 students, 260,390 schools, and 285 effect sizes that were transformed to correlation coefficients. Multilevel meta-analyses were performed. Results identified a number of school variables that can be regarded as relevant for making a difference in student outcomes and at the same time be influenced by education. These refer to school variables such schools’ academic press, classroom climate, instructional practices, and out-of-school activities. Moreover, SES composition was significantly related to student outcomes. Material and personnel resources as well as school climate yielded a close to zero effect. No differences were found between cognitive and motivational-affective outcome variables or between science and maths. The results point to the most promising school characteristics for promoting students’ outcomes and emphasise schools’ potential for students’ engagement in science and maths.

中文翻译:

学校特色与学生科学和数学成绩之间关系的元分析——来自大规模研究的证据

摘要 在目前的荟萃分析中,我们研究了中学的特征——例如学校的学术媒体、学校氛围、物质资源、人力资源、课堂氛围、教学实践、校外活动和社会经济地位 (SES)作文——为学生提供参与科学和数学的机会,以及这些对学生的认知和动机-情感结果的重要性。荟萃分析包括来自大规模研究的 71 篇(国际)文章,共有 3,960,281 名学生、260,390 所学校和 285 个转换为相关系数的效应量。进行了多级荟萃分析。结果确定了许多学校变量,这些变量可以被视为与学生成绩的差异相关,同时受教育的影响。这些是指学校变量,例如学校的学术新闻、课堂气氛、教学实践和校外活动。此外,SES 构成与学生成绩显着相​​关。物质和人力资源以及学校氛围产生了接近于零的影响。在认知和动机-情感结果变量之间或科学和数学之间没有发现差异。结果指出了最有希望促进学生成绩的学校特色,并强调学校在学生参与科学和数学方面的潜力。课堂气氛、教学实践和校外活动。此外,SES 构成与学生成绩显着相​​关。物质和人力资源以及学校氛围产生了接近于零的影响。在认知和动机-情感结果变量之间或科学和数学之间没有发现差异。结果指出了最有希望促进学生成绩的学校特色,并强调学校在学生参与科学和数学方面的潜力。课堂气氛、教学实践和校外活动。此外,SES 构成与学生成绩显着相​​关。物质和人力资源以及学校氛围产生了接近于零的影响。在认知和动机-情感结果变量之间或科学和数学之间没有发现差异。结果指出了最有希望促进学生成绩的学校特色,并强调学校在学生参与科学和数学方面的潜力。在认知和动机-情感结果变量之间或科学和数学之间没有发现差异。结果指出了最有希望促进学生成绩的学校特色,并强调学校在学生参与科学和数学方面的潜力。在认知和动机-情感结果变量之间或科学和数学之间没有发现差异。结果指出了最有希望促进学生成绩的学校特色,并强调学校在学生参与科学和数学方面的潜力。
更新日期:2020-01-02
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