Assessment Literacy Within Middle School-Level Math Professional Learning Communities

Professional learning communities (PLCs) have been implemented in school districts as a means to promote effective instructional policy initiatives and best practices. The purpose of this chapter is to identify assessment literacy commonalities within middle school-level math PLCs and to compare those commonalities across PLCs with different levels of student math growth. Multiple indicators of assessment literacy were used to supply rich descriptions of assessment literacy within each PLC using a procedure recommended by Bernhardt for effective data-driven decision making. Based upon the findings the researcher concluded that commonalities existed among PLCs with different levels of student math growth.

Assessment Literacy Within Middle School-Level Math Professional Learning Communities

Professional learning communities (PLCs) have been implemented in school districts as a means to promote effective instructional policy initiatives and best practices. The purpose of this chapter is to identify assessment literacy commonalities within middle school-level math PLCs and to compare those commonalities across PLCs with different levels of student math growth. Multiple indicators of assessment literacy were used to supply rich descriptions of assessment literacy within each PLC using a procedure recommended by Bernhardt for effective data-driven decision making. Based upon the findings the researcher concluded that commonalities existed among PLCs with different levels of student math growth.

An analysis of student performance in Chicago’s charter schools

Charter schools have become the cornerstone of school reform in Chicago and in many other large cities. Enrollments in Chicago charters increased by more than ten times between 2000 and 2014 and, with strong support from the current mayor and his administration, the system continues to grow. Indeed, although state law limits charter schools in Chicago to 75 schools, proponents have used a loophole that allows multiple campuses for some charters to bypass the limit and there are now more than 140 individual charter campuses in Chicago. This study uses comprehensive data for the 2012-13 and 2013-14 school years to show that, after controlling for the mix of students and challenges faced by individual schools, Chicago’s charter schools underperform their traditional counterparts in most measurable ways. Reading and math pass rates, reading and math growth rates, graduation rates, and average ACT scores (in one of the two years) are lower in charters all else equal, than in traditional neighborhood schools. The results for the two years also imply that the gap between charters and traditionals widened in the second year for most of the measures. The findings are strengthened by the fact that self-selection by parents and students into the charter system biases the results in favor of charter schools.

Modeling Math Growth Trajectory—An Application of Conventional Growth Curve Model and Growth Mixture Model to ECLS K-5 Data

<p>To model students’ math growth trajectory, three conventional growth curve models and three growth mixture models are applied to the Early Childhood Longitudinal Study Kindergarten-Fifth grade (ECLS K-5) dataset in this study. The results of conventional growth curve model show gender differences on math IRT scores. When holding socio-economic status (SES) constant, gender differences reduced on the mean start IRT scores, growth rate, and acceleration rate. Growth mixture modeling applied to ECLS K-5 children reliably identified three classes of children based on their math growth trajectories. Growth mixture modeling results indicate that gender differences are different depending on different math development classes. After controlling for SES, growth mixture modeling results show that gender differences on the mean start IRT scores, linear growth rate, and quadratic growth rate reduced in all subpopulations. Growth mixture modeling result also show that after controlling for gender, the effects of SES on math development are different in different subpopulations.</p>