Anders Astrup Christensen, Kristoffer Laigaard Nielbo, Sedat Gümüş
{"title":"Exploring school factors related to professional learning communities: a machine learning approach using cross-national data","authors":"Anders Astrup Christensen, Kristoffer Laigaard Nielbo, Sedat Gümüş","doi":"10.1080/03055698.2024.2369855","DOIUrl":null,"url":null,"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...","PeriodicalId":47443,"journal":{"name":"Educational Studies","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Educational Studies","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1080/03055698.2024.2369855","RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
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...
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.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
