Assessment

A robotics-based curriculum offers numerous opportunities to enrich science, technology, engineering, and mathematics (STEM) education for students and enables teachers to integrate engineering and computing techniques into educational programs.

The persistent lack of diversity in STEM fields remains a serious challenge for U.S. global competitiveness. STEM jobs are growing 29% faster than any other U.S. sector. Yet, today, white men hold roughly 75% of all scientists and engineering jobs, despite making up only 26% of the total workforce. The cause of this diversity gap can be traced to our educational system, where girls and most children-of-color do not receive equitable public education due to high teacher attrition rates, which in turn affects access to well-trained teachers, and lack of school resources.

In this paper, we focus on the design of assessments of mathematics teachers’ knowledge by emphasising the importance of identifying the purpose for the assessment, defining the specific construct to be measured, and considering the affordances of particular psychometric models on the development of assessments as well as how they are able to communicate learning or understanding. We add to the literature by providing illustrations of the interactions among these critical considerations in determining what inferences can be drawn from an assessment.

This study explored how teachers interpreted and responded to their own student work during the process of formative assessment. The study involved a purposefully selected sample of 32 teachers in grades K-5 who had been trained by the Ongoing Assessment Project (OGAP) to use learning progressions to analyze and respond to evidence in student work.