Data-based decision making (DBDM) is presumed to improve student performance in elementary schools in all subjects. The majority of studies in which DBDM effects have been evaluated have focused on mathematics. A hierarchical multiple single-subject design was used to measure effects of a 2-year training, in which entire school teams learned how…

The Australian Institute of Health and Welfare developed a national data standards strategy and implementation plan to enhance the comparability, quality and coherence of information across the Australian education and training sectors, including early childhood education, school education, vocational education and training (VET) and higher…

Accelerating the acquisition of reading skills in at-risk third- through sixth-grade students is critically important if educators expect to meet federal and state performance targets and also meet children's needs. In an attempt to rapidly advance learning in reading, a large urban school district provided a group of 2,227 students performing…