Exploring school factors related to professional learning communities: a machine learning approach using cross-national data

IF 1.8 4区教育学 Q2 EDUCATION & EDUCATIONAL RESEARCH

Educational Studies Pub Date : 2024-06-26 DOI:10.1080/03055698.2024.2369855

Anders Astrup Christensen, Kristoffer Laigaard Nielbo, Sedat Gümüş

引用次数: 0

Abstract

In the ongoing endeavour to increase student learning, restructuring schools into professional learning communities (PLCs) remains a popular strategy globally. Multiple studies have investigated po...

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探索与专业学习社区相关的学校因素：利用跨国数据的机器学习方法

在不断努力提高学生学习成绩的过程中，将学校重组为专业学习社区（PLC）仍然是全球流行的策略。多项研究已经调查了专业学习社区（PLC）的作用。

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

Educational Studies EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

5.50

自引率

0.00%

发文量

期刊介绍： Educational Studies aims to provide a forum for original investigations and theoretical studies in education. The journal publishes fully refereed papers which cover applied and theoretical approaches to the study of education. Papers should constitute original research, and should be methodologically sound, theoretically informed, and of relevance to an international audience. The journal is particularly interested in research that aims to inform educational practice(s) within and/or across sectors. Whilst the journal is principally concerned with the social sciences, contributions from a wider field are also encouraged. Empirically-based papers are particularly welcome.