States are establishing high stakes assessments to serve as measurement tools of students' academic abilities. This study essentially compares Maryland's and Florida's mathematics and science assessments for similarities and differences. Building from 5-10 years of student level quantitative data (secondary data) and critical analyses of the…

In order to comply with the regulations put forth by the Elementary and Secondary Education Act (ESEA), as amended by the Every Student Succeeds Act (ESSA), states are required to submit evidence associated with their statewide accountability systems to the United States Department of Education (ED) for peer review. Some states have elected to…

Federal education legislation continues to emphasize the role of assessment in elementary and secondary schools. Perhaps most prominently, the Elementary and Secondary Education Act (ESEA), as amended by the Every Student Succeeds Act (ESSA; P.L. 114-95), requires the use of test-based educational accountability systems in states and specifies the…

With many states moving toward increased accountability for all teachers, special educators, who have long been held accountable through the implementation of individualized education programs and the use of evidence-based practices, have much to offer. Formative instructional practices are evidence-based techniques that are familiar to special…

Forty-two states and the District of Columbia have recently received waivers to the school accountability requirements of the No Child Left Behind Act (NCLB). As the prospects for reauthorizing the Act in the near term are dim, these new accountability systems will be law for at least several years. Drawing on a four-part framework from the…

Responding to federal policy and recent research, states and districts have developed and begun implementing multiple-measure teacher evaluation systems. These systems generally include observational and/or student survey measures of instructional quality alongside measures of teachers' contributions to student learning (e.g., value-added models…