This rubric was developed for the analysis of intervention programs against the criteria of implementing the four recommendations and accompanying action steps presented in the IES Practice Guide "Providing Reading Interventions for Students in Grades 4-9" for the Adolescent Literacy Intervention Selection Tool (A-LIST). Each item in…

Year 4 continued the Adolescent Literacy Intervention Selection Tool (A-LIST) development work from Year 3 and focused on reviewing the degree to which selected adolescent interventions support evidence-based recommendations. To inform that review, Region 1 Comprehensive Center (R1CC) and the Massachusetts Department of Elementary and Secondary…

Early adolescence is a time of rapid cognitive, psychosocial, and physical development, and an array of contextual factors, such as systemic racism, exert significant influence. Universal behavioral health screening data of 4,234 middle school students were examined to explore the influence of demographic (e.g. ethnicity, race) and contextual…

This Framework builds upon the foundation of the 2010 Massachusetts Curriculum Framework for Mathematics as well as versions of the Massachusetts Mathematics Framework published since 1995. The current Framework incorporates improvements suggested by Massachusetts educators after six years of experience in implementing the 2010 standards in their…

This Framework is built upon the foundation of the 2003 and 1997 "Massachusetts History and Social Science Curriculum Frameworks." Based in research on effective practice, it represents the contributions of members of the History and Social Science Curriculum Framework Review Panel, scholars who served as Content Advisors, and the more…

Background: Cluster-randomized experiments that assign intact groups such as schools or school districts to treatment conditions are increasingly common in educational research. Such experiments are inherently multilevel designs whose sensitivity (statistical power and precision of estimates) depends on the variance decomposition across levels.…

New software tools for data analysis provide rich opportunities for representing and understanding data. However, little research has been done on how learners use these tools to think about data, nor how that affects teaching. This paper describes several ways that learners use new software tools to deal with variability in analyzing data,…