This article provides teachers with a toolkit for assessing students in the context of data-based individualization (DBI) in mathematics. Assessing students is a critical component of DBI because it provides teachers with information about what they may need to modify in their instructional programs. In this article, we provide teachers with…

Sometimes, despite the most perfectly delivered writing lesson implemented with fidelity, students with emotional and behavioral disorders (EBD) do not make the progress expected by teachers or themselves. In these instances, teachers may individualize and differentiate for students with EBD not making adequate progress by purposefully…

Author Wiley Blevins is renowned for changing the way educators think about teaching children to read, helping thousands of teachers implement effective phonics instruction. Now, Blevins gets us to think in powerful new ways about differentiating whole-class phonics lessons, so students at every skill level can engage. With Blevins' trademark…

This study of usage and effectiveness of Goalbook Toolkit is based on student data from a large suburban school district in the northeastern US and teacher-level application usage data from Goalbook Toolkit from the 2021-2022 school year. Goalbook Toolkit enables teachers to personalize instructional supports for specialized student populations.…

Education is undergoing critical transformations driven by innovations in remote experimentation and learning analytics. As technology reshapes how we teach and learn, remote experimentation allows students to conduct hands-on, interactive experiments from anywhere in the world, breaking down geographical and resource-based barriers. This shift…

Purpose: Personalized learning plans (PLPs) are increasing in use and USA state-level educational policies. PLPs are key components in proficiency-based learning reforms and flexible pathways to graduation. Although the theoretical and implementation literature is increasing, evidence of student outcomes is more difficult to readily identify. The…

Data-based individualization (DBI) is a framework that allows educators to make timely and informed decisions about student progress in academics or behavior. In this article, we focus on the DBI framework as applied to math intervention within a tiered support model for students experiencing math difficulty. We review how DBI starts with an…

Reading comprehension is contingent upon the integration of various reading skills, including word reading, reading fluency, and comprehension strategies. Students who encounter challenges in both word reading and reading comprehension present an opportunity for growth across multiple reading-related domains. Recent intervention data, as…

This brief provides policymakers and practitioners with a comprehensive overview of the purpose, characteristics, uses, and types of Kindergarten Entry Assessments (KEAs). It emphasizes the importance of high-quality KEAs in guiding instructional practices and assessing developmental progress in young learners. It highlights that high-quality KEAs…

For students with intensive learning needs for whom standard, validated interventions do not effectively promote academic growth, data-based instruction (DBI) is suggested as an effective, fine-grained approach to individualization. Key to DBI's success is making instructional changes based on individual students' progress monitoring data. The…

For students with intensive learning needs for whom standard, validated interventions do not effectively promote academic growth, data-based instruction (DBI) is suggested as an effective, fine-grained approach to individualization. Key to DBI's success is making instructional changes based on individual students' progress monitoring data. The…

Although data-based individualization (DBI) has positive effects on learning outcomes for students with learning difficulties, this framework can be difficult for teachers to implement due to its complexity and contextual barriers. The first aim of this synthesis was to investigate the effects of ongoing professional development (PD) support for…

Although data-based individualization (DBI) has positive effects on learning outcomes for students with learning difficulties, this framework can be difficult for teachers to implement due to its complexity and contextual barriers. The first aim of this synthesis was to investigate the effects of ongoing professional development (PD) support for…

Background/Context: Funders, researchers and developers share an interest in applying rapid cycle evaluation techniques in education (McNall & Foster-Fishman, 2007; Resch, 2016). Both rapid-cycle and other evaluation processes require monitoring the quality of implementation (Moir, 2018). By quickly monitoring and adjusting implementation,…