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…

Given a myriad of recent contemporary challenges graduate students are facing as well as long-standing issues with student attrition, there is a pressing need to reexamine models of doctoral student progress. While existing research commonly examines departure or failure to meet milestones as the outcome of interest, by the time students leave…

This research explores how metacognitive strategies influence the metacognitive awareness of undergraduate students enrolled in an online flipped programming course. It specifically focuses on regulatory actions crucial for success in programming instruction and distance education settings. The primary objective is to contribute to the existing…

Enhancing special educators' data literacy is critical to informing instructional decision-making, especially for students with learning disabilities. One tool special educators commonly use is curriculum-based measurement (CBM). These data are displayed on time-series graphs, and student responsiveness is evaluated. Graph construction varies and…

Current literature exists centered on Multi-Tiered Systems of Support (MTSS) framework, its components, and ways in which MTSS is intended to support all students. Yet, there is a gap in the literature that examines how elementary schools are implementing it. This dissertation study sought to understand what the MTSS framework implementation at…

This exciting new book provides school leaders with a highly effective framework for culturally responsive and equity-driven leadership. School culture is how you lead, how your core values are represented in the work you do daily, and how stakeholders are impacted by what you choose. Author and educator Shauna McGee helps you grapple with the…

This report presents normative data for the easyCBM reading and mathematics assessment system, designed for students in Grades K-8 to support academic screening and progress monitoring. The normative indices provide educators with reliable benchmarks for identifying students at risk for academic difficulties, setting growth targets, and evaluating…

This study examined students' growth in algebra readiness progress-monitoring measures for a group of U.S. middle school students with math learning difficulties within the context of Project STAIR, a federally funded initiative supporting teachers' use of data-based individualization. Participating teachers received professional development and…

This case study explores professional academic advisors' perceived usefulness of a fully implemented academic early alert technology at a four-year, public, flagship university in the Midwest. Academic early alert technology has increasingly become more common at colleges and universities during the past two decades, followed by an increasing…

Despite the general consensus on the positive impact of formative assessment on student learning, researchers have not shown the underlying mechanisms between specific formative assessment strategies and academic performance on an international sample. This study examines the link between student and teacher reports of teachers' formative…

Progress monitoring using curriculum-based measures administered to a student at multiple points in time is common in educational settings. Recent research has demonstrated that common approaches to identifying individuals in need of special services, such as the trend line or median techniques, can be negatively impacted by the nonlinear change…

Self-monitoring is an integral part of self-regulated learning. Tools that foster learners' monitoring, such as learning journals, portfolios, or rubrics, are supposed to promote self-regulation and to improve performance. The aim of this meta-analysis was to examine the effectiveness of tools designed to foster monitoring on learning-related…

Pragmatically, machine learning techniques can improve educators' capacity to monitor students' learning progress when applied to quality data. For developing countries, the major obstacle has been the unavailability of quality data that fits the purpose. This is partly because the in-use information systems are either not properly managed or not…

This article provides evidence about predictive relationships between features of community college interventions and their impacts on student progress. This evidence is based on analyses of student-level data from large-scale randomized trials of 39 (mostly) community college interventions. Specifically, the evidence consistently indicates that…

Progress tests (PT) are a popular type of longitudinal assessment used for evaluating clinical knowledge retention and long-life learning in health professions education. Most PTs consist of multiple-choice questions (MCQs) whose development is costly and time-consuming. Automatic Item Generation (AIG) generates test items through algorithms,…