A Statistical Approach to Identifying Schools Demonstrating Substantial Improvement in Student Learning

Autor:	Yinmei Wan, Coby Meyers, James J. Lindsay, Chris Condon
Rok vydání:	2012
Předmět:	National education Identification (information) Work (electrical) Student achievement Mathematics education Statistical analysis Academic achievement Student learning Psychology Education
Zdroj:	Journal of Education for Students Placed at Risk (JESPAR). 17:70-91
ISSN:	1532-7671 1082-4669
Popis:	The rising tide behind the school turnaround movement is significant, as national education leaders continue to call for the rapid improvement of the nation's lowest-performing schools. To date, little work has been done to identify schools that are drastically improving their performance. Using publically available school-level student achievement data from Minnesota, we begin to detail the statistical and practical steps necessary to identify schools rapidly improving their performance.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fcd0cd93f73e5ba420a5f4405b78869a https://doi.org/10.1080/10824669.2012.636703 Zobrazit plný text záznamu