The Effects of a Schoolwide Data-Based Decision Making Intervention on Elementary Schools' Student Achievement Growth for Mathematics and Spelling
Author: Trynke Keuning
Publisher:
Published: 2016
Total Pages: 16
ISBN-13:
DOWNLOAD EBOOKAround the world during the last decade, policymakers increasingly emphasize the use of data in education to enhance student achievement. As a result, the number of reform initiatives to promote "data-based decision making" (DBDM) or "data-driven decision making" (DDDM) has increased rapidly. At the University of Twente in the Netherlands, a DBDM intervention was developed in which whole school teams participate in the training. In 2011, a first group of 53 elementary schools participated in this DBDM intervention and showed promising results. In 2012, a new cohort of schools started the intervention. The study reported on in this abstract was aimed at evaluating the intervention effects of this new cohort of schools. Data for this study were gathered from 40 elementary (K-6) schools in the Netherlands which participated in the DBDM intervention from August 2012 until July 2014. Student achievement data covering the period August 2010 until July 2014 were retrieved from schools' student monitoring systems. A multiple single-subject design was used to investigate the effect of this DBDM intervention on student achievement growth, and to investigate patterns in DBDM effectiveness based on background variables at both the school and the student level. Each school was measured repeatedly over time, before the intervention period (the control phase) and during the intervention period (the treatment phase). Findings revealed that a significant intervention-effect was found for both spelling and mathematics. This study revealed that mathematic outcomes improved especially for low-SES schools. Tables and figures are appended. [SREE documents are structured abstracts of SREE conference symposium, panel, and paper or poster submissions.].