Metacognitive monitoring, recognizing when one is accurate or not, is important because judgments of one's performance or knowledge often relate to control decisions, such as help seeking. Unfortunately, children and adults struggle to accurately monitor their performance during number-magnitude estimation. People's accuracy in estimating number…

Drawing on cognitive theory in reading comprehension, Sentence Order Fluency (SOF) is proposed as a method for monitoring progress in reading comprehension. In this article, we present results of a pilot study on SOF conducted between April and June 2023, with a group of 119 students in Grades 4, 5, and 6 in a charter school in the mid-Atlantic…

Categorical growth models describe examinee growth in terms of performance-level category transitions, which implies that some percentage of examinees will be misclassified. This paper introduces a new procedure for estimating the classification accuracy of categorical growth models, based on Rudner's classification accuracy index for item…

Understanding the development of self-regulated learning (SRL) in applied educational contexts is currently an important goal for researchers. There exists a relatively rich literature for most SRL components in isolation yet the field is lacking in understanding their coordination. This study examined the relationship between metacognitive…

Reading fluency has been identified as a critical competency for reading success. Accurate and automatic word recognition, one component of fluency, is normally assessed through reading rate (Oral Reading Fluency--ORF). While norms for ORF exist through grade 8, norms beyond grade 8 are largely unknown. The present study attempted to establish ORF…

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…

Irrespective of much research examining the effects of ego depletion on self-control related measures in social psychology, inadequate attention has been paid regarding whether ego depletion influences on logical reasoning performance. To address this gap, this experimental study randomly assigned Chinese college students (n = 112) to either an…

Through time-series graphs, teachers often evaluate progress monitoring data to make both low- and high-stakes decisions for students. The construction of these graphs--specifically, the presence of an aimline and the data points per x- to y-axis ratio (DPPXYR)--may impact decisions teachers make. The purpose of this study was to evaluate the…

The current availability of research examining the precision of single-skill mathematics (SSM) curriculum-based measurements (CBMs) for progress monitoring is limited. Given the observed variance in administration conditions across current practice and research use, we examined potential differences between student responding and precision of…

Predicting students' performance to identify which students are at risk of receiving a D/Fail/Withdraw (DFW) grade and ensuring their timely graduation is not just desirable but also necessary in most educational entities. In the US, not only is the Science, Technology, Engineering, and Mathematics (STEM) major becoming less popular among…

Early warning systems (EWSs) have been successfully used in online classes, especially in massive open online courses, where it is nearly impossible for students to interact face-to-face with their teachers. Although teachers in higher education institutions typically have smaller class sizes, they also face the challenge of being unable to have…

This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…

Curriculum-based measurement (CBM) has conventionally included accuracy criteria with recommended fluency thresholds for instructional decision-making. Some scholars have argued for the use of accuracy to directly determine instructional need (e.g., Szadokierski et al., 2017). However, accuracy and fluency have not been directly examined to…

Monitoring the progress of student learning is an important part of teachers' data-based decision making. One such tool that can equip teachers with information about students' learning progress throughout the school year and thus facilitate monitoring and instructional decision making is learning progress assessments. In practical contexts and…

The current study evaluated whether goal-setting practices that account for seasonal developmental patterns of reading growth decreased the number of weeks data needed to be collected in order to yield accurate response to intervention decisions for a sample of 224 third-grade students. The extent to which more complex decision-making practices…