With the growing attention on large-scale educational testing and assessment, the ability to process substantial volumes of response data becomes crucial. Current estimation methods within item response theory (IRT), despite their high precision, often pose considerable computational burdens with large-scale data, leading to reduced computational…

Schools are increasingly turning towards restorative practices as a pathway to building schools with stronger relationships, justice, and equity. While effectiveness studies are increasing, too little attention is focused on evaluating implementation. This resources is for audiences who evaluate implementation of whole school restorative practices…

In this chapter, we provide an overview of the design, data-collection, and data-analysis efforts for a digital learning and assessment environment for scientific inquiry / science practices called "Inq-ITS" ("I"nquiry "I"ntelligent "T"utoring "S"ystem; www.inqits.org). We first present a brief…

Data-based instructional programs have proliferated in American schools despite limited evidence of their effectiveness in improving educator practice and raising student achievement. We report results from a two-year school-randomized evaluation of the Achievement Network (ANet), a program providing schools with standards-aligned interim…