Michael C Frank, Heidi A Baumgartner, Mika Braginsky, George Kachergis, Amy A Lightbody, Robert Z Sparks, Rebecca Zhu, Stephanie M Carlson, Sandra Graham, Sebastián J Lipina, Nora S Newcombe, Candice L Odgers, Robert C Pianta, Robert S Siegler, Margaret Snowling, Hirokazu Yoshikawa, Ana Cubillo, Kenneth A Dodge
{"title":"学习变异性网络交换(LEVANTE):通过协作数据共享测量儿童学习变异性的全球框架。","authors":"Michael C Frank, Heidi A Baumgartner, Mika Braginsky, George Kachergis, Amy A Lightbody, Robert Z Sparks, Rebecca Zhu, Stephanie M Carlson, Sandra Graham, Sebastián J Lipina, Nora S Newcombe, Candice L Odgers, Robert C Pianta, Robert S Siegler, Margaret Snowling, Hirokazu Yoshikawa, Ana Cubillo, Kenneth A Dodge","doi":"10.1111/cdev.70011","DOIUrl":null,"url":null,"abstract":"<p><p>Despite the ubiquity of variation in child development within individuals, across groups, and across tasks, timescales, and contexts, dominant methods in developmental science and education research still favor group averages, short snapshots of time, and single environments. The Learning Variability Network Exchange (LEVANTE) is a framework designed to enable coordinated data collection by research teams worldwide, with the goal of measuring variability in children's learning and development. The LEVANTE measure set aims to capture variability in learning outcomes (literacy and numeracy) as well as in core cognitive and social constructs. LEVANTE will yield a large, open access longitudinal dataset for long-term research use, both creating a multidisciplinary research network and facilitating the science of learning variability.</p>","PeriodicalId":10109,"journal":{"name":"Child development","volume":" ","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Learning Variability Network Exchange (LEVANTE): A Global Framework for Measuring Children's Learning Variability Through Collaborative Data Sharing.\",\"authors\":\"Michael C Frank, Heidi A Baumgartner, Mika Braginsky, George Kachergis, Amy A Lightbody, Robert Z Sparks, Rebecca Zhu, Stephanie M Carlson, Sandra Graham, Sebastián J Lipina, Nora S Newcombe, Candice L Odgers, Robert C Pianta, Robert S Siegler, Margaret Snowling, Hirokazu Yoshikawa, Ana Cubillo, Kenneth A Dodge\",\"doi\":\"10.1111/cdev.70011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Despite the ubiquity of variation in child development within individuals, across groups, and across tasks, timescales, and contexts, dominant methods in developmental science and education research still favor group averages, short snapshots of time, and single environments. The Learning Variability Network Exchange (LEVANTE) is a framework designed to enable coordinated data collection by research teams worldwide, with the goal of measuring variability in children's learning and development. The LEVANTE measure set aims to capture variability in learning outcomes (literacy and numeracy) as well as in core cognitive and social constructs. LEVANTE will yield a large, open access longitudinal dataset for long-term research use, both creating a multidisciplinary research network and facilitating the science of learning variability.</p>\",\"PeriodicalId\":10109,\"journal\":{\"name\":\"Child development\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-08-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Child development\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1111/cdev.70011\",\"RegionNum\":1,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, DEVELOPMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Child development","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1111/cdev.70011","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, DEVELOPMENTAL","Score":null,"Total":0}
Learning Variability Network Exchange (LEVANTE): A Global Framework for Measuring Children's Learning Variability Through Collaborative Data Sharing.
Despite the ubiquity of variation in child development within individuals, across groups, and across tasks, timescales, and contexts, dominant methods in developmental science and education research still favor group averages, short snapshots of time, and single environments. The Learning Variability Network Exchange (LEVANTE) is a framework designed to enable coordinated data collection by research teams worldwide, with the goal of measuring variability in children's learning and development. The LEVANTE measure set aims to capture variability in learning outcomes (literacy and numeracy) as well as in core cognitive and social constructs. LEVANTE will yield a large, open access longitudinal dataset for long-term research use, both creating a multidisciplinary research network and facilitating the science of learning variability.
期刊介绍:
As the flagship journal of the Society for Research in Child Development (SRCD), Child Development has published articles, essays, reviews, and tutorials on various topics in the field of child development since 1930. Spanning many disciplines, the journal provides the latest research, not only for researchers and theoreticians, but also for child psychiatrists, clinical psychologists, psychiatric social workers, specialists in early childhood education, educational psychologists, special education teachers, and other researchers. In addition to six issues per year of Child Development, subscribers to the journal also receive a full subscription to Child Development Perspectives and Monographs of the Society for Research in Child Development.